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First and most importantly: our mission is to bring transparency and clarity to the world's data. Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies. We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 4 million downloads to-date. Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the thrilling center of real-world AI advancement’s next wave. And we’re built on three key tenets: • We are all human beings: we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve., • We are distributed: we believe in getting autonomy and power into the hands of people actually doing the work., • We believe in the power of community. We are fully remote, hiring for people based in North America (with a preference for candidates on the West Coast for this role) who are prepared to travel to at least 2 in-person retreats per year, plus travel to various conferences and Meetups. As a Machine Learning Developer Relations Engineer at Voxel51, you'll work directly with the open source FiftyOne community answering technical questions, coding integrations with complementary models and datasets, creating engaging content, plus helping organize and speak at events (in-person and virtual). What you will do • Writing: Author original documentation, tutorials, guides, technical articles, and blogs, • Integrations: Code up integrations that combine FiftyOne with complementary ML technologies, models, and datasets, • Videos: Self-produce short videos to supplement the written content, • Technical Support: Provide technical answers to open source users on Discord, Stackoverflow, and Reddit, • Educational Content: Create and deliver original courses, both online and in-person What you should bring • 2+ years of professional ML experience with an emphasis on computer vision uses cases, • MS or PhD in computer science with an emphasis on computer vision, • Proficiency with Python, • Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy), • Great writing ability and proficiency with a screening recording/editing suite, • Links to blogs, articles and papers written, • Links to conferences or events you have spoken at, • Links to open source communities where you are an active participant, • Links to GitHub repos where your code is visible, • Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack) The cash compensation for this person is in the $200K-$240K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.

Comfortable contributing test scripts/code (Python) into the main repository — not just running scripts in isolation.

At ___, our goal is to create opportunity for all through mobility. We’re a technology company that solves complex transportation challenges where there is a heightened need for safety, equity, and care. Through our marketplace, we connect kids, older adults, or anyone needing extra support to highly-vetted caregivers on wheels. Through our software, we solve the biggest transportation challenges facing schools and school districts around the country. Founded by three moms as a solution to their own transportation challenges, we’ve now facilitated more than five million rides across over 17 states around the country. We continue to expand at a rapid pace, making the Inc. 5000 list four times, as well as the Deloitte 500 Fast-Growing Technology list. HopSkipDrive is a Series D company and has raised $100M in funding to date. Who We Are Our Information Technology team functions as a critical partner in scaling HopSkipDrive, building a secure and efficient technology ecosystem. We take pride in leveraging modern tools like automation and AI to empower every team member to do their best work. We do, and you will, support the business through the following responsibilities: • End-User Support & Lifecycle Management: Provide day-to-day technical support (hardware, software, network) and manage the full device lifecycle (procurement, configuration, maintenance) for Mac and Windows environments., • Automation & Optimization: Build, maintain, and optimize automation workflows using Zapier, Workato, and Google Apps Script to streamline IT operations and business processes., • SaaS & Identity Administration: Administer Google Workspace and identity platforms (Okta, JumpCloud), including user provisioning, security settings, and leveraging AI-powered features., • Infrastructure & Security: Collaborate on IT projects (system upgrades, migrations), maintain security best practices, and ensure compliance with company policies., • Asset Management: Manage asset inventory and coordinate equipment orders for new hires, replacements, and remote workforce needs., • Collaboration: Serve as a technical liaison for cross-functional teams to implement solutions and support communication tools (Zoom, Slack, Email)., • Availability: Provide after-hours support for critical incidents as needed and participate in periodic in-office travel to our Los Angeles headquarters., • Who You Are You are a strategic IT Specialist driven by a passion for leveraging the latest technologies (e.g., automation, AI) to build, engage, and scale a high-performing IT department. With the following skills, you will make a tangible and immediate impact, propelling our growth in the technology/SaaS landscape: Skills and Experience: • Experience: 5+ years of hands-on IT support or systems administration experience, preferably in a startup or high-growth environment., • Technical Mastery: Proven ability to troubleshoot hardware and software issues in macOS and Windows environments, with strong experience in Google Workspace administration., • Automation Specialist: Demonstrated experience building and managing automation workflows using tools like Zapier, Workato, or scripting languages (Python/Google Apps Script)., • Identity Management: Solid understanding of IAM concepts with practical experience managing tools like Okta or JumpCloud., • Communication: Excellent verbal and written skills, with the ability to translate complex technical concepts for non-technical users and engage confidently with all employee levels., • Project Ownership: Strong organizational skills with a proactive approach to problem-solving and the ability to manage multiple priorities independently., • Customer Focus: A service-oriented mindset dedicated to resolving issues quickly to keep our teams moving. Our Investment In You We want you to be an owner in our company and share in executing our vision, so every full-time employee has equity. In addition, we offer flexible vacation, medical, dental, vision and life insurance, 401(k), FSA, and an opportunity to work for a uniquely positioned, VC-backed company in a hugely attractive space with significant upside potential. HopSkipDrive is proud to operate as a drug-free workplace. HopSkipDrive is also committed to fair and equitable compensation practices. The salary range for this role is $95,000 - $120,000. This position is remote and, as such, compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by several factors such as a candidate’s relevant work experience, skill set, certifications, and specific work location. The total compensation package for this role also includes equity stock options. HopSkipDrive is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected class. • This role will be fully remote in one of the following states AZ, CA, CO, CT, DC, FL, GA, IL, IN, KS, MA, MD, MI, MN, MO, NC, NJ, NM, NV, NY, OK, OR, SC, TN, TX, UT, VA, WA, WI**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are looking for a Machine Learning Engineer to help us train Claude specifically for virtual collaborator workflows. While Claude excels at general tasks, a lot of knowledge work requires targeted training on real organizational data and workflows. Your job will be to design and implement reinforcement learning environments that transform Claude into the best virtual collaborator, training on everything from navigating internal knowledge to creating financial models. • Designing and implementing reinforcement learning pipelines specifically targeted at virtual collaborator use cases (productivity, organizational navigation, vertical domains), • Building and scaling our data creation platform for generating high-quality, open-ended tasks with domain experts and crowdworkers Integrating real organizational data to create authentic training environments, • Developing robust rubric-based evaluation systems that maintain quality while avoiding reward hacking, • Training Claude on advanced document manipulation, including understanding, enhancing, and co-creating, • Partnering directly with product teams to ensure training aligns with shipped features, • Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using, • Have strong machine learning experience, • Thrive at the intersection of research and product, with a pragmatic approach to solving real-world problems, • Are comfortable with ambiguity and can balance research rigor with shipping deadlines, • Enjoy collaborating across multiple teams (data operations, model training, product), • Can context-switch between research problems and product engineering tasks, • Care about making AI genuinely helpful for everyday enterprise workflows, • Building human-in-the-loop training systems or crowdsourcing platforms, • Working with enterprise tools and APIs (Google Workspace, Microsoft Office, Slack, etc.), • Developing evaluation frameworks for open-ended tasks, • Domain expertise in finance, legal, or healthcare workflows, • Creating scalable data pipelines with quality control mechanisms, • Reward modeling and preventing reward hacking in RL systems, • Translating product requirements into technical training objectives Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $340,000 - $560,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about ___ for using AI in our application process

About the Team OpenAI’s Stargate organization is building the physical infrastructure required to power frontier AI systems at massive scale. The team operates across the full lifecycle of infrastructure development and operations — from hardware, manufacturing, and partner readiness through deployment, bring-up, and sustained production operations. That end-to-end ownership model is a core part of how Stargate is being built. This is not a traditional, heavily layered hardware organization. Stargate is intentionally staying lean and is optimizing for hands-on operators who can work across design, manufacturing, and deployment boundaries, influence partners quickly, and prevent operational issues before they become system-level failures. About the Role As a Manufacturing Test Engineer on Stargate, you will own the development of manufacturing test strategies, tools, and execution practices for critical AI infrastructure hardware. You will work at the intersection of hardware engineering, manufacturing partners, infrastructure systems, and deployment teams to ensure that hardware shipped into OpenAI environments is testable, reliable, and production-ready at scale. In this role, you will translate product and system requirements into manufacturing test coverage, drive the design of test stations and automation, and partner closely with suppliers and contract manufacturers to identify, root-cause, and eliminate yield issues and field escapes. This role is especially important in an environment where OpenAI depends on external partners and needs technical operators who can independently verify quality, challenge assumptions, and enforce repeatable, controlled execution. Key Responsibilities * Develop and deploy manufacturing test solutions in collaboration with OpenAI’s global manufacturing partners. * Define test requirements with NPI, hardware, and systems teams; drive Design for Test (DFT) to ensure testability and manufacturability. * Maintain stable test operations for sustaining products, including deployment of software, firmware, and hardware updates to manufacturing test systems. * Build and maintain automated test scripts to support functional testing, diagnostics, and new feature validation. * Lead initiatives to improve test coverage, reduce test time, and lower manufacturing cost while maintaining product quality. * Identify, analyze, and resolve manufacturing yield issues and field escapes; drive root cause and corrective actions to closure. * Design, validate, and deploy test stations, fixtures, and tooling required for scalable production testing. * Partner with NPI, manufacturing and supplier teams to ensure consistent and reliable test execution across sites. * Develop and maintain documentation for test processes, procedures, and system configurations to ensure standardized practices. Qualifications * Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. * 5+ years of experience in hardware engineering or manufacturing test engineering. * Experience developing and integrating manufacturing test systems using custom electronics, fixturing, and instrumentation. * Experience managing test systems and processes to improve manufacturability and production quality. Preferred Qualifications * Experience testing server, networking, or data center hardware, including board and system-level functional testing in manufacturing. * Experience with Python or Shell scripting, and familiarity with Linux-based environments. * Knowledge of test station bring-up and validation methodologies (e.g., gage R&R, correlation, calibration). * Ability to develop comprehensive test plans based on product specifications and execute structured test procedures. * Experience troubleshooting complex manufacturing and system-level issues in collaboration with cross-functional teams. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see ___. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through ___. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this ___. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: At Waabi we develop a highly autonomous vehicle that integrates sensors, compute and actuators into a base vehicle. This is the platform which we use as the foundation for our Waabi Driver that uses novel generative AI algorithms to develop and scale an autonomous trucking solution very quickly. Ensuring that this platform is safe for supervised autonomy and driverless autonomy operations requires systems engineering practices like tracing product requirements to system requirements to tests and eventually test executions in order to build a very strong safety case. In this role you will work within the Platform Systems Engineering team and cross functionally with Hardware, Software and Operations at Waabi to define and realize verification methods by developing and executing tests. A strong focus will be on: - Creating verification plans based on requirements- Developing and documenting tests- Executing tests with support from other test engineers- Developing fault injection tools and techniques You will…- Own the creation, documentation, alignment and verification of autonomous platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively- Act as a central point of contact at Waabi for specific platform-related verification methods and tests and communicate updates, progress and potential roadblocks to stakeholders at all levels- Define necessary improvements for our highly realistic simulator to effectively verify most autonomous platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented; this includes HIL/SIL verification methods- Own the writing and tracking of tests and test executions in line with company project milestones- Implement tools and methodologies to streamline and automate the Waabi platform verification processes where applicable- Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system Expectations:- In-vehicle testing, to be conducted with the assistance of a vehicle operator- 100% in-office presence when testing is needed Qualifications:- Undergrad required; Masters or PhD within an engineering discipline preferred- 3+ years of automotive, robotics, aerospace or related industry experience- Experience with requirements-specifications and metrics- Knowledge of the typical autonomous vehicle stack- Systems engineering and verification and validation experience- Experience with executing complex vehicle test campaigns- Experience with functional safety, i.e. ISO 26262- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics- Excellent data analysis skills with modern tools such as Python or Matlab- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions- Experience with vehicle actuation (brakes, steering, propulsion)- Bring an in-depth understanding of sensors, compute and actuators used in the self-driving vehicle scope Bonus/nice to have:- Having a good understanding of how trucks work and are operated will also be helpful to be successful in this role- Experience in launching a driverless product- Experience in the automotive self driving industry- Experience building software systems from scratch- Experience in robotics or machine learning- Proficiency with data mining, mathematics, and statistical analysis Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Role We're seeking skilled a Senior Software Engineer to design and develop the core API services and backend systems that power InfiniteChoice's platform. You'll build cloud-native software solutions that serve millions of users, process billions in transactions, and provide the foundation for exceptional user experiences. As a backend engineer, you'll own the complete development lifecycle for critical services - from architectural design through production deployment and monitoring. You'll work with modern programming languages and cloud-native technologies to build scalable, resilient systems that form the backbone of our growing platform. What You Will DoEnd-to-End Service Development * Design: Architect scalable API services and backend systems that meet business and technical requirements * Development: Build high-performance services using Python, Go, Java, or similar modern programming languages * Testing: Implement comprehensive testing strategies including unit, integration, and contract testing * Deployment: Manage CI/CD pipelines and deploy services using cloud-native deployment patterns * Monitoring: Implement observability, logging, and alerting for production services and performance optimization Cloud-Native API & Service Development * Design and implement RESTful APIs and GraphQL services with proper authentication, authorization, and rate limiting * Build microservices architecture using containerization and orchestration platforms * Develop event-driven systems with message queues, pub/sub patterns, and asynchronous processing * Implement caching strategies, database optimization, and performance tuning for high-traffic applications * Create serverless functions and cloud-native applications optimized for scalability and cost efficiency Backend Systems & Infrastructure * Design and develop distributed systems that handle high concurrency and large-scale data processing * Build robust data pipelines and real-time streaming applications * Implement security best practices including encryption, secure communication, and compliance frameworks * Optimize database performance with proper indexing, query optimization, and data modeling * Create automated backup, disaster recovery, and business continuity solutions Technology Stewardship & Collaboration * Write clean, maintainable, and well-documented code following established best practices * Participate in architectural discussions and technical design reviews * Contribute to engineering culture and knowledge sharing * Collaborate with other engineering teams to deliver integrated solutions * Drive technical decisions that balance performance, scalability, maintainability, and development velocity What You Must HaveCore Technical Skills * Programming expertise: Strong proficiency in Python, Go, Java, or similar backend programming languages * API development: Extensive experience building RESTful APIs, GraphQL services, and web services at scale * Database proficiency: Hands-on experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, Cassandra) databases * Cloud-native development: Proven experience building applications designed for cloud environments - experience with GCP is a plus * System design: Understanding of distributed systems, microservices patterns, and scalability principles * Familiarity with AI-powered development tools (Cursor, Claude Code) is a huge plus. Self-Driven Excellence * Independent execution with ability to own projects from conception to production deployment * Proactive problem-solving with strong initiative in identifying and addressing technical challenges * Quality-focused mindset with commitment to testing, code quality, and operational excellence * Continuous learning approach to staying current with backend technologies and best practices * Collaborative spirit with excellent communication and truly believe in teamwork Additional Technical Skills: * Message systems: Experience with Apache Kafka, RabbitMQ, Google Pub/Sub, or similar * Caching technologies: Redis, Memcached, or distributed caching solutions * Search engines: Elasticsearch, Solr, or cloud search services * Security: OAuth, JWT, encryption, and secure coding practices * Performance optimization: Profiling, load testing, and performance tuning techniques Education, Experience & Mindset * Bachelor's degree in Computer Science, Engineering, or equivalent professional experience * 8+ years of hands-on experience in software development * Strong analytical and systematic problem-solving skills * Ability to work effectively in fast-paced, evolving environments * Passion for building robust, scalable backend systems * Commitment to operational excellence and system reliability What We Offer * Work with cutting-edge cloud-native technologies and architectural patterns * Access to AI-driven development tools and emerging backend technologies * Build systems that serve millions of users and process billions in transactions * Direct impact on platform scalability, performance, and reliability * Opportunity to create lasting engineering culture and operational excellence * Remote-first culture with in-person meeting on need basis * Collaborative environment with smart, passionate engineers and cross-functional teams * Competitive compensation, equity participation, and comprehensive benefits Ready to Build the Engine of Innovation? Join our team of passionate engineers building the backend systems and APIs that power millions of user experiences. If you're a self-driven developer who loves system design, values end-to-end ownership, and wants to work with modern cloud-native technologies at scale, we'd love to hear from you. About InfiniteChoice InfiniteChoice was founded to help people find the experiences they want simply and effortlessly. We leverage a new type of business model and platform that uniquely applies automation and technology to solve the challenges of scale and complexity in experience discovery. Existing business and marketing technologies can no longer handle the demands of connecting millions of consumers with vast inventories of experiences across a fragmented, global marketplace of people, partners, and providers. Our mission is to disrupt this status quo by creating seamless connections between consumers and experiences. We're just at the beginning of this journey, but our approach is working: we've helped over 275 million visitors connect to millions of experiences, generating over $2 billion in revenue for our brands and partners.

Job DescriptionTitle: AI & Automation EngineerFunction: TechnologyReports to: Head of AI & AutomationLevel: Associate / Mid-LevelLocation: Addison, TX (4 days/week in-office) Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time. Who We Are Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime®, helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work. We are a lean team of approximately 40 people. Everyone rolls up their sleeves here, including this role. About the Role We are building out a new AI & Automation practice at Braviant and are hiring two AI and Automation Engineers to join the team. These are hands-on builder roles focused on designing, deploying, and governing AI-powered automation workflows across our business, spanning consumer lending originations, credit risk, compliance, collections, and internal operations. You will report to the Head of AI & Automation and work closely with stakeholders across the business to identify manual and semi-automated processes that can be replaced or accelerated by agentic AI workflows. Day-to-day, this means building agents that do real things: routing decisions, processing documents, triggering actions across systems, escalating exceptions to humans, and logging everything so we can audit and improve over time. This is a greenfield role at a company that uses Claude, Claude Code, and the broader Anthropic ecosystem as primary AI infrastructure. You will build on top of those tools and extend them. We are an AWS shop, and our preferred agentic framework is Strands Agents SDK, though we expect you to choose the right tool for the problem and bring framework judgment, not just framework familiarity. If you are early in your AI engineering career and want to own real production systems rather than prototype demos, and if you want to build in a regulated, high-stakes environment where the quality of your work actually matters, this role is for you. What You'll Build Agent & Workflow Development • Design and build AI agent workflows that automate or accelerate business processes across originations, credit risk, compliance, collections, and operations, • Migrate manual and semi-automated processes into governed, production-grade agent pipelines with appropriate human-in-the-loop checkpoints, approval gates, and escalation patterns, • Build with Strands Agents SDK as the preferred default framework; apply judgment to use CrewAI, LangGraph, AutoGen, LlamaIndex, Haystack, or other frameworks where better suited, • Implement structured outputs, function calling, and tool-use patterns to connect LLMs with internal business logic and data Tool Integration & Automation Engineering • Manage, build, and maintain MCP (Model Context Protocol) servers and clients to give agents structured, governed access to internal APIs, databases, and third-party data providers, • Develop skills, plugins, and tool integrations for Claude and other AI platforms used across the organization, • Integrate AI capabilities with existing systems via REST APIs, event queues, and cloud-native AWS services, • Evaluate and implement lightweight automation connectors (n8n, Zapier, Make) for business stakeholder workflows where full agent development is not warranted Observability & Responsible AI • Instrument every workflow you build with logging, tracing, and alerting so teams can audit agent behavior, debug failures, and measure outcomes, • Implement guardrails and usage controls across AI deployments, covering autonomous, semi-autonomous, ad hoc, scheduled, event-driven, manually triggered, and human-review-gated workflows, • Contribute to responsible AI documentation including runbooks, incident response playbooks, and acceptable use standards for AI-assisted processes in a regulated fintech environment, in partnership with the Technology Operations team, • Stay current on agentic AI developments, vulnerability patterns, and compliance requirements relevant to consumer lending Collaboration • Work directly with business stakeholders to translate process requirements into agentic workflow specs — you need to understand what the business does, not just what the framework supports, • Contribute to shared frameworks, reusable agent components, and internal engineering standards developed by the Head of AI & Automation, • 2 to 4 years of software engineering experience with production Python and SQL; additional languages a plus, • Hands-on experience building and shipping AI/ML or LLM-powered solutions in real production environments, not just coursework or personal projects, • Practical experience with at least one agentic or LLM orchestration framework (Strands, LangGraph, CrewAI, AutoGen, LlamaIndex, or similar), • Experience integrating AI services via APIs and building tool-use or function-calling patterns with LLMs, • Familiarity with AWS and cloud-native architecture patterns, • Active daily use of AI-assisted development tools such as Claude Code, VS Code with Cline, Cursor, GitHub Copilot, or similar — this is table stakes, not a differentiator, • Experience with prompt engineering and structured outputs; comfort iterating on prompts as a core part of building, • Strong written communication — you can document a workflow clearly enough for a compliance reviewer, not just another engineer, • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience Preferred • Direct experience with Amazon Bedrock, Bedrock AgentCore, or the Strands Agents SDK, • Experience building or consuming MCP servers and clients, • Familiarity with skills and plugin development for Claude, Microsoft Copilot, or similar AI platforms, • Experience with OpenClaw, Hermes Agent, HyperAgent, or similar open-source agent frameworks, • Familiarity with workflow automation platforms such as n8n, Zapier, Make, or similar, • Background in fintech, consumer lending, payments, or another regulated financial services environment, • Familiarity with RAG architectures, vector databases, or knowledge graph approaches, • Working knowledge of application security fundamentals: auth, secrets management, RBAC, and audit logging • Comprehensive healthcare including medical, dental, and vision coverage Generous paid time off, including PTO, sick time, and 13 company holidays * 401(k) with company contribution * Participation in annual discretionary bonus plan * Regular team and company gatherings Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Are you an experienced and innovative Fluid & Thermal Systems Engineer looking to help shape the future of AI and robotics technology? Are you eager to make a meaningful impact on cutting-edge products that matter? Do you thrive in a fast-paced, mission-driven environment alongside highly motivated and values-focused teammates? Shield AI is the perfect place for you! As a Staff Fluid & Thermal Systems Engineer at Shield AI, you will lead the design, development, and optimization of fluid and thermal systems for our advanced autonomous UAVs and ground systems. Your expertise fluid & thermal system design will drive innovation, prototyping, testing, and the successful integration of solutions that operate reliably in challenging environments. This role requires technical leadership, collaboration with cross-functional teams, and an unwavering commitment to delivering excellence from concept to production.What you'll do: • Own design and analysis of fluid and thermal systems for aircraft and ground platforms., • Develop and implement innovative thermal solutions, • Use first-principles engineering to drive design decisions to yield optimal solutions, • Research technologies for integration into complex solutions, • Conduct advanced simulations to predict system performance and refine designs, • Execute testing and validation efforts, including data acquisition, post-processing, and verification against requirements, • Collaborate with cross-disciplinary teams to integrate fluid and thermal system designs into larger system architectures., • Mentor and guide junior engineers, fostering technical growth and excellence within the team., • Identify suppliers and build successful supplier management relationships for procurement of components or systems for fluid and thermal system designs, • Other duties as assignedRequired qualifications:, • Minimum 10+ years of experience in Fluid or Thermal System design, with a proven track record of technical excellence., • B.S. or advanced degree in Mechanical, Aerospace, or related Engineering discipline., • Deep understanding of heat transfer, fluid dynamics, thermodynamics, and system-level thermal management., • Experience implementing system models in commercial tools, such as MATLAB Simscape, Amesim, etc., • Experience developing custom engineering models in Excel and in languages such as MATLAB, Python, etc., • Experience in fluid and thermal system testing, including sensor integration, data acquisition, and analysis., • Expertise in 3D CAD modeling tools such as Siemens NX or equivalent., • Demonstrated ability to execute projects with minimal oversight, assume full ownership, and deliver exceptional outcomes., • Excellence in supplier management, COTS component sourcing, optimization/trade studies, • Proven success in dynamic, fast-paced environments.Preferred qualifications:, • Extensive experience with fluid & thermal system design, analysis, manufacture and test for aircraft, • Familiarity with fluid and thermal system effects on aircraft performance, • Familiarity with startup or R&D environments, demonstrating adaptability and agility under pressure., • Strong knowledge of environmental standards and certification processes for aerospace or defense systems. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:In this role, you will own the flight control system for XBAT, with responsibility for delivering stable, predictable, and operationally robust performance across all phases of flight, including vertical takeoff, hover, transition out-bound, wing-borne flight, transition in-bound, and precision recovery.What you'll do: • Design and deliver the flight control system across all phases of flight including control allocation strategies that manage actuator redundancy, saturation, and degraded operations., • Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre-flight performance predictions, • Define and execute the verification strategy, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation, • Diagnose and resolve simulation-to-flight mismatches, including unidentified dynamics and modeling gaps, • Support flight test operations, making risk-informed decisions and driving rapid iteration between flights, • Integrate control systems with propulsion, aero, actuation, sensors, state estimation, and autonomy, ensuring the vehicle behaves predictably under real-world disturbances and uncertainties, • Mentor and guide engineers while setting the technical standard for control system performance and rigorRequired qualifications:, • 10+ years of experience in flight controls / GNC on real flight vehicles, with demonstrated ownership from design through flight test, • Demonstrated experience with control allocation design and implementation for over-actuated systems with provisions for saturation and failure accommodation., • Strong background in:, • Flight dynamics and 6DOF simulation, • Control theory and nonlinear systems, • Experience executing full V&V cycles, including pre-flight performance prediction, Monte Carlo analysis, flight readiness assessment, and post-flight analysis, • Proficiency in C++, MATLAB/Simulink, and/or Python, with experience deploying real-time algorithms, • Ability to obtain and maintain a U.S. security clearancePreferred qualifications:, • VTOL or transition aircraft experience where control blending and allocation were critical to success, • Autonomous systems or missile/UAV GNC background, • Experience with flight safety, airworthiness, and mission assurance, • Familiarity with:, • Sensor and air data systems, • Fault-tolerant or adaptive control, • CI/CD pipelines and modern DevSecOps practices, • Experience with HIL or integrated simulation/test environments and Linux-based development workflows (Git, etc.) Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionBenefits: • Competitive compensation, • Hybrid Role Overview We are seeking a Senior SDET to own automation quality for large-scale, data-heavy, event-driven platforms. This role focuses on backend, Kafka, and AWS data platform validation using Python-based automation frameworks. This is a hands-on engineering role, not a traditional QA position. No manual testing No UI / Selenium-only testing No basic ETL script validation You will design and own automation frameworks that validate Kafka-driven architectures, backend services, and cloud-native data pipelines, while partnering closely with data and platform engineers. Key Responsibilities Automation & Framework Ownership Design, build, and maintain Python-based test automation frameworks, not just individual test cases Define reusable test libraries for validating data platforms and distributed systems Drive automation standards, patterns, and best practices across teams Kafka & Event-Driven Systems Testing Validate Kafka-based event streams, including: Topic-level data validation Producer and consumer behavior Message schemas, payload integrity, ordering, and replay scenarios Failure handling, retries, and dead-letter scenarios Test asynchronous workflows and event propagation across services Data Platform & Backend Validation Validate end-to-end data flows across distributed services and pipelines Test backend APIs, service integrations, and asynchronous processing layers Perform schema validation, transformation checks, data consistency, and completeness validation AWS & Cloud Data Testing Test cloud-native data platforms built on AWS services such as: S3, Glue, Redshift, Lambda (or similar services) Validate ingestion, processing, storage, and downstream consumption of data Debug data and automation failures across multiple cloud services CI/CD & Quality Gates Embed automation into CI/CD pipelines Enforce quality gates and fail pipelines on critical data or platform issues Provide actionable feedback to engineering teams based on automation results Collaboration & Strategy Work closely with data engineers, platform engineers, and architects Define test strategies for event-driven and distributed data systems Proactively identify quality risks and gaps in platform design Required Experience (Non-Negotiable) Strong test automation engineering experience using Python Hands-on Kafka testing experience (real production systems, not theoretical knowledge) Proven experience testing distributed and event-driven systems Solid understanding of data validation concepts, including: Schemas and contracts Transformations and enrichment Data consistency, completeness, and accuracy Experience working in AWS-based data platforms Ability to debug and troubleshoot issues across multiple services, not just log defects Engineering mindset with ownership mentality Nice to Have Experience with schema registries (Avro / JSON / Protobuf) Knowledge of streaming vs batch data architectures Familiarity with observability, logging, and monitoring in distributed systems Experience working in high-volume, near-real-time data environments Flexible work from home options available.

Job DescriptionSalary: Grazitti Interactive is a global digital services provider leveraging cloud, mobile and social media technologies to reinvent the way you do business. Since 2007, Grazitti has been helping companies power their businesses with its marketing automation and cloud innovation services. As a global consultancy, we have strategic partnerships with technology pioneers like Marketo, Salesforce, Google, Alteryx, Microsoft, Adobe, Lithium, Optimizely, Acquia, Shopify and Jive. We combine these platforms with our innovative approaches to provide effective, result-oriented solutions to our clients. We have been helping hundreds of global companies to transform their business technologies and save millions. We are looking for proficient Mobile Automation tester Please find below the Job description. Attributes and Skills required Experience: 3-6 years Skills: Mobile Automation testing, Automation Testing, QTP, Software Testing, Automation Test Engineer, QTP Testing, VB Script, Test Engineer, Test analyst, Testing with Python, Testing with Automation with Testing with DevOps. Job Description: Automation Testing Skill Set: • Mobile Automation Tester with exposure in SDET, • Automation with Python, • Automation with DevOps, • Automation Tester with Data Migration

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. What You'll Do: • Generate detailed mission test scenarios that mimic real-world conditions to validate the performance of autonomy and flight control software., • Participate in design reviews for new features and design detailed test plans based on their requirements, • Conduct and manage system verification and validation events, culminating in verified flight readiness., • Write test analyzers in Python to report and benchmark performance and qualification metrics of the system, • Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements, • Recommend improvements to our simulation models and fault injection so that we can keep pushing the capabilities of our test suite before proceeding to flightRequired Qualifications:, • 5+ years of work experience in testing complex integrated software systems, • Demonstrated expertise & experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing, • Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems, • Great understanding of system architecture, requirement derivation, and test planning across the V-model, • Experience with automating test cases in an existing test framework, • Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures, • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment, • B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or a related field Preferred Qualifications:, • Experience with autonomous or robotic systems, • Experience with simulation software and hardware emulation, • Background in a fast-paced, R&D or startup environment, • Proficiency in build test automation Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys. Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience. Position Summary: The Sr. Risk Analyst, Business Analytics, will be responsible for utilizing advanced analytical techniques and tools to provide data and reporting to various departments to facilitate identification, documentation, analysis, monitoring, mitigation and tracking of risks for Stellantis Financial Services as an organization. The Sr. Risk Analyst, Business Analytics, will also collaborate with other branches of the Risk department, as well as with management from other departments in various business capacities. Essential Duties and Responsibilities: • Uses quantitative and analytical skills to mine, process and analyze data using SQL, Fabric, R, Python, SAS, Power BI, MS Excel or similar spreadsheet programs, and other business tools., • Develops and presents analysis on performance, trends, and projections to upper management to facilitate business and strategic decisions., • Prepares and distributes recurring and ad-hoc analysis and reporting on portfolios including performance and projections., • Provides easy-to-understand, action-oriented analytical reports and other presentations to the management team., • Build, recalibrate, and validate advanced predictive models., • Identifies and evaluates portfolio trends and KPIs with respect to market valuations, depreciation, residuals, and other factors., • Trouble-shoots data deficiencies and errors to ensure timely and accurate analysis of the data., • Confers with IT and functional business lines to evaluate, design, implement, and maintain relational databases and/or large data sets., • This position involves regular access to sensitive consumers personal information, including, but not limited to, Social Security numbers and dates of birth., • Five (5) years of experience in data analytics, such as data mining, business analytics and databases., • Proficient with SQL, Fabric, Python, R or other business intelligence software., • Proficient with using Microsoft Office Suite applications such as Excel, PowerPoint, Word, and Power BI., • Ability to work with mathematical concepts such as probability and statistical inference and apply concepts to practical situations., • Experience with statistical analysis software/languages (R, Python, SQL, & SAS) in addition to training in statistical modeling, data analysis, or computer programing., • Detail oriented with problem solving and critical thinking abilities., • Ability to apply common sense understanding to practical situations when carrying out instructions furnished in written, oral, or diagram form., • Travel 0-10% - as required on an as needed basis., • Master’s Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields highly preferred! Work Schedule

Job Description We’re looking for an experienced Data Engineer to help design, build, and optimize modern data pipelines that power analytics, BI, and machine learning across NEP Group. In this role, you’ll develop scalable ETL/ELT workflows feeding Snowflake and Databricks, collaborate closely with BI and ML teams, and continuously improve our data platform to support a growing global organization. If you enjoy working with large datasets, modern cloud tools, and solving complex data challenges, this is a chance to make a real impact. Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote candidates in Eastern or Central time zones. What You’ll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion pipelines using dbt, Databricks, and Fivetran * Optimize queries, data partitioning strategies, and schema design for performance and cost * Partner with BI and ML teams to support analytics and advanced data use cases * Identify opportunities to improve data infrastructure and implement best-practice solutions * Troubleshoot data issues and provide technical guidance and support * Contribute to ongoing improvements in reliability, scalability, and data quality What You’ll Need: * 5+ years of experience in data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and automating ETL/ELT pipelines and working with data warehouses * Solid understanding of data modeling, schema design, and performance optimization * Experience with cloud-based data platforms such as Databricks and modern storage solutions (e.g., Delta Lake) * Familiarity with CI/CD, data versioning, and best practices for scalable data infrastructure * Knowledge of data governance, data quality, and lineage concepts * Understanding of cloud cost optimization, security, and access control best practices Benefits • Medical, Dental, and Vision coverage, • Vacation Days, • Sick Days, • 401(k), • Discount Programs, • Life Insurance, • Disability Insurance, • Employee Assistance Program, • Flexible Spending Account You might not know our name, but you’ve probably seen our work – on stage, on screen or on the field. Our technology solutions and unique Global Production Ecosystem empower content creators and rights holders to tell their stories in breakthrough ways. We’ve supported some of the world’s most watched productions and live events in sports, entertainment, concerts, festivals, film, TV and more. For 40 years our clients have trusted us to deliver live production, live events, and virtual production solutions for them, anytime, anywhere. Put simply, we bring content to life. Check us out at

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description We are PMG Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You'll Be Working With At PMG, we're redefining what's possible in digital marketing through Alli, our cloud-based suite of AI-powered tools. Alli has helped deliver ads to over 1 billion consumers in 80+ countries, driving meaningful results for some of the world's most recognized brands. As an AI & Software Engineering Manager, you'll lead a team of talented engineers focused on solving complex challenges, developing AI-driven solutions, and shaping the technology stack that powers Alli's Actions, Data, or Insights pillars. This isn't just a leadership role—it's an opportunity to influence the future of AI-powered marketing, drive real impact for our clients, and mentor engineers as they build groundbreaking solutions. You'll collaborate closely with product managers, engineering leaders, and cross-functional teams to define the technical vision and balance innovation with business needs. If you're passionate about AI, love tackling big challenges, and thrive in a fast-moving, supportive environment, this is the place for you. What You'll Be Doing • Lead and mentor a high-performing team of engineers, fostering career growth and technical excellence., • Work in a collaborative, fast-moving environment, where ideas turn into impactful solutions quickly., • Define and drive the technical vision and roadmap for Alli's AI-powered solutions, ensuring scalability, reliability, and long-term success., • Design, develop, and deploy cutting-edge AI-driven features that help brands make smarter marketing decisions., • Partner with Product Managers, Designers, and cross-functional teams to integrate AI solutions that enhance performance and drive measurable results., • Guide the team in best practices for clean code, automated testing, version control, and scalable architecture., • Conduct code reviews, debugging, and testing, ensuring high-quality, maintainable code., • 5+ years of software development experience with object-oriented programming, delivering scalable and maintainable solutions with a Bachelor's or Master's degree in Computer Science or Computer Engineering or related experience., • 2+ years leading and mentoring a team of engineers, fostering a culture of innovation, collaboration, and growth, • 2+ years of experience with AWS or other cloud platforms, including deploying and managing applications in cloud environments., • Proven ability to balance hands-on development with leadership responsibilities, ensuring team success., • Strong expertise in RESTful API design, system architecture, and SOLID engineering principles., • Proficiency in backend and frontend technologies, including Python, JavaScript (Node.js, React), and Go., • Hands-on experience with automated testing, CI/CD pipelines, and cloud-based deployments to ensure reliability and efficiency., • Familiarity with containerization and orchestration tools like Docker and Kubernetes for scalable application management., • Knowledge of infrastructure-as-code tools like Terraform or Ansible to streamline deployment processes., • Strong ability to communicate technical concepts clearly across teams, aligning engineering efforts with business objectives., • A proactive, problem-solving mindset with a focus on delivering real-world impact and continuous improvement., • Experience in digital marketing or advertising technology and its intersection with engineering solutions., • Familiarity with large-scale data processing frameworks such as Apache Spark or Kafka., • A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value., • A dedication to people-focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel., • Provide technical guidance and strategic insights to client teams, leveraging expertise in media, technology, and emerging trends., • Strong proficiency in SQL, Python, and other relevant programming languages for data manipulation, analysis, and process automation., • Interest or familiarity working in the Digital Marketing industry, • AWS Solutions Architect - Professional certification, • Prior experience working with Large Language Models (LLMs), • Familiarity with Infrastructure-as-Code tools like Terraform, • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support., • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones., • Parental Leave: We provide paid parental leave to support your family during important life events., • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching., • Fertility and Family Support: Access fertility benefits for all team members and their spouses., • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography., • Pet Insurance: Protect your pet's health and your finances., • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being., • Commuter Benefits: Access support for travel and commuting needs, where available., • Annual Bonus: All employees are eligible for an annual bonus., • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities., • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Description ML / AI Engineer – MLOps & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are seeking an ML/AI Engineer to contribute to large-scale AI and data transformation programs. This role focuses on building, deploying, and scaling machine learning and GenAI solutions in cloud environments. Key Responsibilities: • Design and deploy scalable ML and GenAI solutions, • Build and manage end-to-end MLOps pipelines, • Collaborate with data engineers, architects, and business teams, • Strong experience in ML/AI engineering and MLOps practices, • Proficiency in Python and frameworks such as PyTorch, • Experience with cloud platforms (AWS, Azure, GCP), • Experience with LangChain and GenAI/agentic AI implementations, • Exposure to Databricks, Snowflake, Azure Synapse, or BigQuery, • Familiarity with AI governance, Responsible AI, and compliance frameworks

Job DescriptionBenefits: • HYBRID, • Competitive salary, • Opportunity for advancement Work Arrangement • Hybrid work model: primarily remote within the DallasFort Worth area., • Occasional on-site presence required for meetings, training, or business needs., • Limited business travel may be required. Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). Experience in building Asynchronous Python APIs. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis Required Qualifications Education • Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience. Experience • Advanced experience in data science, machine learning, AI, or optimization projects., • Proficiency in Python and SQL., • Strong understanding of statistical methods, experimental design, and model validation., • Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark)., • Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit). Preferred Experience • Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR)., • Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics. Skills & Abilities • Ability to independently manage and deliver on complex projects., • Strong problem-solving and critical thinking skills., • Effective communication skills for both technical and executive audiences., • Ability to adapt quickly to changing priorities and new technologies., • Strong interpersonal and collaboration skills. .....

Job DescriptionBenefits: • Competitive salary Overview We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL, and can design, optimize, and manage complex data pipelines. This role requires collaboration across teams to deliver secure, scalable, and high-quality data solutions that drive business intelligence and operational efficiency. Key Responsibilities • Design, build, and maintain scalable ETL pipelines across AWS and SQL-based technologies., • Assemble large, complex datasets that meet business and technical requirements., • Implement process improvements by re-architecting infrastructure, optimizing data delivery, and automating workflows., • Ensure data quality and integrity across multiple sources and targets., • Orchestrate workflows with Apache Airflow (MWAA) and support large-scale cloud migration projects., • Conduct ETL testing, apply test-driven development (TDD), and participate in code reviews., • Monitor, troubleshoot, and optimize pipelines for performance, reliability, and security., • Collaborate with cross-functional teams and participate in Agile ceremonies (sprints, reviews, stand-ups). Requirements • 812 years of experience in Data Engineering, with deep focus on ETL, cloud pipelines, and Python development., • 5+ years of hands-on coding with Python (primary), PySpark, and SQL., • Proven experience with AWS services: Glue, EMR (Spark), S3, Lambda, ECS/EKS, MWAA (Airflow), IAM., • Experience with AuroraDB,DynamoDB Redshift, and AWS Data Lakes., • Strong knowledge of data modeling, database design, and advanced ETL processes (including Alteryx)., • Proficiency with structured and semi-structured file types (Delimited Text, Fixed Width, XML, JSON, Parquet)., • Experience with ServiceBus or equivalent AWS streaming/messaging tools (SNS, SQS, Kinesis, Kafka)., • CI/CD expertise with GitLab or similar, plus hands-on Infrastructure-as-Code (Terraform, Python, Jinja, YAML)., • Familiarity with unit testing, code quality tools, containerization, and security best practices., • Solid Agile development background, with experience in Agile ceremonies and practices. Flexible work from home options available.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are seeking a Staff Equipment Engineer to lead the development, sustainment, and improvement of production equipment, test racks, and test cells supporting manufacturing and system-level testing. This role is highly hands-on and works closely with Manufacturing, Test, Quality, and Design Engineering teams to ensure equipment reliability, scalability, and readiness for production. The ideal candidate has deep experience supporting complex electromechanical equipment in a production environment and driving improvements across safety, uptime, and throughput.What you'll do: • Own the technical lifecycle of production equipment, test racks, and test cells, from production readiness through sustainment and continuous improvement, • Lead troubleshooting and root-cause analysis of equipment failures, downtime events, and test anomalies; implement corrective and preventive actions, • Drive equipment reliability, availability, and maintainability (RAM) improvements to support production goals, • Develop and maintain equipment documentation including schematics, BOMs, calibration plans, maintenance procedures, and operating instructions, • Collaborate with Manufacturing, Test, and Quality teams to ensure equipment meets production, safety, and compliance requirements, • Support equipment upgrades, obsolescence management, and capacity expansion as production scales, • Define and execute equipment acceptance testing, validation, and handoff to production, • Mentor junior engineers and technicians and provide technical leadership across equipment-related efforts, • Manage external vendors and integrators as needed for equipment design, build, or modificationRequired qualifications:, • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field, • 8+ years of experience supporting production equipment, test racks, or test cells in a manufacturing or test environment, • Strong hands-on experience with electromechanical systems, controls, instrumentation, and data acquisition, • Proven ability to troubleshoot complex equipment issues across hardware, software, and controls domains, • Experience developing and maintaining technical documentation for production equipment, • Ability to work effectively on the factory floor and in cross-functional engineering teamsPreferred qualifications:, • Experience supporting automated or semi-automated production and test equipment, • Familiarity with PLCs, HMIs, industrial networks, or test software (e.g., LabVIEW, Python, or similar), • Experience with equipment safety standards, lockout/tagout, and risk assessments, • Background in scaling equipment from prototype or low-rate production to higher-rate manufacturing Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJOB DESCRIPTION: The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast. As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline. You’ll design, build, and scale the models and infrastructure needed to use Shield’s simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence. What You'll Do • Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++., • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release., • Implement scenario simulation tooling and formal test infrastructure., • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios., • Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity., • Perform verification & validation (V&V) analysis activities on model tools., • Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI., • Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering. Required Qualifications, • BS or MS in Computer Science, Aerospace, Robotics, or related field., • 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization., • Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems., • Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management., • Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments. Preferred Qualifications, • Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics., • Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation., • Working knowledge of Python for data analysis, test automation, or simulation orchestration., • Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools).

Job DescriptionPlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. As a Field Service Engineer, you will leverage your experience and knowledge to help continue building the Field Engineering team’s processes and procedures that integrate and maintain Plus’s autonomous vehicle technology on internal and customer vehicles. The role supports autonomous vehicle testing and deployment with a comprehensive focus on remote monitoring, real-time intervention, and data logging. You will provide hands-on vehicle readiness for complex demo drives and fleet maintenance activities. Specifically, you will support testing by riding in the vehicle to actively monitor system performance and sensor health, execute live testing and mileage accumulation, rapidly troubleshoot issues that arise in the field, and document all findings through daily reports and actionable engineering tickets for cross-functional teams.Responsibilities: • Support autonomous vehicle testing by operating and riding in Class 8 (semi-trucks) or equivalent vehicles to actively monitor system performance, execute live testing, and accumulate mileage., • Provide hands-on vehicle readiness for complex demonstrations and fleet maintenance activities, ensuring all systems and sensors are operational., • Work onsite during system installation and field deployment Act as the main point of contact for third-party installers and customers/end-users., • Willingness and ability to travel more than 60%, including weekends, as required to support field operations., • Rapidly troubleshoot and resolve novel or complex technical issues impacting autonomous vehicle systems, including hardware, software, and electrical subsystems., • Analyze data from engineering drawings, databases, and field actions to consolidate and escalate reliability issues to the engineering team in a concise and actionable manner., • Collaborate with engineering to develop and document real-time mitigation actions, long-term containment options, and corrective/preventative measures., • Meticulously document all troubleshooting and return-to-service actions, including findings from daily reports and testing, by creating and updating actionable engineering tickets., • Create and maintain standardized installation and repair documentation (SOPs), focusing on making all programming, calibration, and testing procedures reliable and repeatable for service partners and technicians., • Interpret engineering changes (e.g., deviations, change orders) and create clear, comprehensive procedures for implementing these changes in field environments such as warehouses, repair shops, and customer locations.Required Skills:, • BS or MS in a STEM-related field (e.g., Engineering, Computer Science, etc.), or equivalent combination of education and work experience., • Relevant work experience involving analysis, engineering, or technical system testing, preferably within the automotive or autonomous vehicle industry., • Strong technical proficiency with Linux command line and experience using software version control systems (e.g., GIT)., • Familiarity with containerization (Docker), scripting languages (Python, Bash), and automotive software-based diagnostic systems., • Experience with collaboration tools such as Google Workspace and Atlassian (Jira/Confluence)., • Demonstrated ability to collect, organize, analyze, and disseminate significant amounts of information with meticulous attention to detail and accuracy., • Ability to work as a self-starter in a rapidly changing, fast-paced environment and take on increased responsibility., • Must be capable of safely lifting up to 80+ lbs and repeatedly entering/exiting vehicles as large as Class 8 (semi-trucks).

Job DescriptionJob Description Role: Senior Cloud Engineer Location: Phoenix, AZ; Columbus, OH; Dallas, TX Job Type: Contract Interview: Phone/Skype Pay Rate: $66/hr C2C Job Description: We are seeking a Senior Cloud Engineer with 10+ years of experience to design, build, and operate enterprise‑grade cloud platforms. The role is hands‑on, with a strong focus on Microsoft Azure and working knowledge of AWS, supporting scalable, secure, and highly available cloud solutions. Required Skills & Experience 10+ years of IT experience, with 7+ years in cloud engineering roles Proven experience supporting enterprise and production environments Technical Skills Strong hands‑on experience with Microsoft Azure (primary) Working knowledge of AWS (EC2, S3, IAM, RDS, VPC) Azure services: Virtual Machines, App Services, AKS, Networking, Storage, Identity (Entra ID) Infrastructure as Code: Terraform, Bicep, or ARM templates CI/CD: Azure DevOps, GitHub Actions, Git workflows Containers & orchestration: Docker, Kubernetes (AKS preferred) Scripting: PowerShell, Bash, or Python Monitoring & operations: Azure Monitor, Log Analytics (or equivalent) Nice to Have Azure or AWS certifications Experience in regulated or large enterprise environments Key Responsibilities: Design, implement, and support cloud infrastructure primarily on Azure, with some workloads on AWS. Build and manage cloud environments using Infrastructure as Code (Terraform / Bicep / ARM). Implement and maintain CI/CD pipelines for infrastructure and application deployments. Deploy and operate Azure services across compute, networking, storage, identity, and platform layers. Ensure cloud solutions meet security, compliance, availability, and performance standards. Troubleshoot and resolve complex cloud and infrastructure issues; perform root‑cause analysis. Optimize environments for cost, performance, and reliability using cloud‑native tools. Contribute to technical documentation, standards, and best practices. Provide technical guidance and mentoring to other engineers as a senior IC. What are the Mandatory skills and skill proficiencies required for this position? Microsoft Azure Azure services: Virtual Machines, App Services, AKS, Networking, Storage, Identity (Entra ID) Infrastructure as Code: Terraform, Bicep, or ARM templates Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are seeking an experienced Test Engineer to support the development, integration, and validation of XBat flight critical software systems. This role is responsible for designing and executing test strategies across hardware, software, and system-level components to ensure performance, reliability, and mission readiness. Key responsibilities include developing test plans and procedures, executing verification and validation (V&V) efforts, analyzing test data, and collaborating cross-functionally with engineering, manufacturing, and program teams. The ideal candidate has strong experience with aerospace or defense systems, familiarity with regulatory standards (e.g., DO-178C, DO-254, MIL HDBK 516c), and a proven ability to troubleshoot complex system issues. Qualifications include a degree in engineering or a related field, 2-5 years of relevant experience, and strong analytical, communication, and leadership skills. Experience with automated testing, hardware-in-the-loop (HIL), and flight test support is highly desirable.What you'll do: • Develop test plans and procedures,, • Execute verification and validation (V&V) efforts, • Analyzing test data, • Collaborating cross-functionally with engineering, manufacturing, and program teams. Required qualifications:, • Bachelor’s degree in Engineering, Computer Science, or a related technical field, • Hands-on experience in testing (e.g., 2–5 years depending on level) across software, hardware, or integrated systems, • Knowledge of test methodologies including verification & validation (V&V), regression testing, and test case development, • Experience with test tools and automation, such as scripting (Python, MATLAB, or similar) and test frameworks, • Ability to read and interpret technical documentation, requirements, and system specifications, • Strong problem-solving skills with the ability to troubleshoot and isolate defects, • Strong written and verbal communication skills for documenting and reporting test resultsPreferred qualifications:, • Experience testing and troubleshooting complex embedded systems. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOur client is urgently looking for Presales Engineers with technical experience in C or C++, Linux, and containerization. This is an exciting opportunity to sharpen your skills in Linux and Kubernetes while working with the leading companies in the industry. Where we a looking for engineers to support the delivery of the world’s first Cloud Native Environment that enables developers of intelligent edge devices to transform and optimize their device life cycle from Development to Deployment, to Operations, and Servicing.Your opportunity is to join as a key member of highly talented and motivated, customer facing field engineering team. You will be responsible for understanding our customers' business and technical needs and to work with them in the capacity of technical evangelist and trusted advisor in crafting the next generation Intelligent systems. Responsibilities • Understand your customer’s technical requirements, design technical solutions, and showcase them through product presentations, discovery workshops, proof of concepts, and evaluations, to secure the technical sale, • Be the customer-facing evangelist by guiding your customers through their Digital Transformation journey., • Partner closely with your Account Manager and be focused on hunting for new business., • Manage all aspects of the technical needs of the assigned territory utilizing all available resources. The ideal candidate will have 7+ years of software development and solutions architecting experience in the following areas: • Direct, hands-on experience with Linux. Experience with Yocto and Debian is preferred., • Experience with Cloud Native technologies including Kubernetes, containers, microservices, etc., • Programming skills in the C or C++ language is essential, and experience or interest in the following are desirable: Python, Rust, Java, etc., • Demo development and delivery experience (internal and/or external)., • Experience with DevSecOps development methodologies including an understanding of tools such as Gitlab, Jenkins, Docker etc., • Experience working with both embedded and enterprise applications is preferred., • Technical Sales experience is desired but not required., • BSCS or BSEE is required., • Software development experience., • Excellent communication skills exhibited through white boarding, technical presentations, white papers, and demonstrations., • Experience interfacing with internal and/or external customers., • Experience responding to customer RFPs is desirable., • Excellent time management skills and ability to manage multiple projects simultaneously., • Demonstrated self-starter and able to work independently in a fast-paced environment., • Residence in a state within the eastern half of the U.S. with ability to travel to customers and trade shows., • Positive attitude and desire for pre-sales

Job Description Title: BI Developer – Microsoft Power BI & Fabric Role: : Full Time Location: Dallas,TX About: At OSI Digital Inc, we accelerate our client’s digital transformation journey by delivering modern data solutions, enabling them to unlock the full potential of their data with scalable cloud platforms, intelligent analytics, and AI-driven solutions. With deep expertise across data engineering, cloud platforms, advanced analytics, and AI/ML, our teams bring both technical mastery and business acumen to every engagement. Role Summary: We are seeking a Senior Business Intelligence Developer with strong expertise in Power BI, SQL, and Microsoft Fabric to design and deliver enterprise-grade analytics solutions. The ideal candidate will have a minimum of 3+ years of hands-on Power BI experience, strong SQL skills, and working knowledge of Microsoft Fabric components. This role requires excellent communication skills, adaptability, intellectual curiosity, and a strong drive to take ownership of complex data challenges. The candidate must be comfortable engaging directly with business stakeholders and delivering high-impact analytics solutions. Key Responsibilities: * Design, develop, and maintain Power BI dashboards, reports, and semantic models with a strong focus on usability, scalability, and performance. * Build enterprise-ready datasets with robust data modeling (star schema, relationships, aggregations, calculation groups, DAX optimization). Implement Row-Level Security (RLS) and Object-Level Security (OLS). * Write advanced SQL queries (joins, CTEs, window functions, query optimization) to support analytical workloads. * Develop reusable views, stored procedures, and transformation logic for analytics consumption. * Develop and support solutions leveraging Microsoft Fabric including OneLake, Lakehouse/Warehouse, Dataflows Gen2, Data Factory pipelines, and semantic models. * Design scalable ELT pipelines and data transformations aligned with modern Lakehouse architecture patterns. * Support Direct Lake, Import, and Hybrid architectures based on business requirements and performance needs. * Translate business requirements into technical design documents and scalable analytics solutions. * Conduct requirement gathering sessions, workshops, and working meetings with cross-functional teams. * A highly motivated and adaptable BI professional with exceptional communication skills, capable of translating complex technical concepts into clear, business-focused insights while confidently engaging with senior leadership and cross-functional stakeholders. Required Qualifications: * Minimum 3+ years of hands-on Power BI development experience (Power BI Desktop and Service) and Microsoft Fabric (Lakehouse, Data Factory, Dataflows Gen2, Warehouse, OneLake). * Bachelor’s degree in computer science, Engineering, or a related technical field. A master’s degree in a relevant field is highly preferred. * Strong proficiency in DAX, Power Query (M), data modeling, and semantic layer design. * Strong SQL development skills with experience working on large datasets and data modeling. * Experience integrating data from SQL Server, Azure SQL, APIs, cloud services, and SaaS platforms. * A proactive, ownership-driven team player with a strong appetite for challenges, able to manage multiple priorities in fast-paced environments, collaborate effectively across teams, and continuously evolve with emerging data and analytics technologies. Preferred / Plus Qualifications * Experience with Snowflake, Databricks, Tableau, or other modern analytics platforms. * Familiarity with Azure ecosystem (ADLS, Synapse, Azure SQL, Functions). * Experience with Python or other scripting languages for automation and analytics. * Experience building CI/CD pipelines for Power BI or Fabric projects. * Microsoft certifications (PL-300, Fabric-related certifications) are a plus. Powered by JazzHR sK9mMLWk4u

Job Description Job Title: QA Lead / Senior Quality Assurance Engineer Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate: 45$/Hr on 1099/ C2C Overview We are seeking an experienced and detail-oriented Senior QA Engineer to drive quality strategy, test planning, and execution across multiple product teams. This role requires strong technical expertise in both manual and automated testing, leadership capabilities, and the ability to ensure delivery of high-quality, reliable software. The ideal candidate is proactive, collaborative, and passionate about building scalable QA processes. Key Responsibilities • Lead overall QA strategy, planning, and execution across multiple teams or product releases., • Design, develop, and maintain automated test scripts for regression, integration, and functional testing., • Perform manual testing to validate new features, user workflows, usability, and edge cases., • Test vulnerability fixes and ensure the application works as expected, validating that security patches do not introduce regressions or impact existing functionality., • Collaborate closely with developers, BAs, and Product Owners to define clear acceptance criteria and ensure thorough test coverage., • Establish and govern QA processes, standards, and best practices across teams., • Review and analyze requirements, specifications, and technical design documents for clarity, completeness, and testability., • Maintain and improve automation frameworks, integrating them seamlessly with CI/CD pipelines., • Identify, document, prioritize, and track software defects, partnering with engineering teams for timely resolution., • Mentor and guide junior QA engineers in both manual and automation testing techniques. Required • 5+ years of experience in software QA, including 2+ years in a lead or senior QA role., • Strong experience in both manual and automated testing for web or API-based applications., • Hands-on expertise with automation tools such as Selenium, Cypress, Playwright, or Postman., • Solid understanding of QA methodologies, SDLC, and Agile/Scrum practices., • Proficiency with scripting languages such as Python, JavaScript, or Java for automation., • Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps., • Excellent analytical, debugging, and problem-solving skills., • Strong communication and collaboration abilities., • Experience with API testing and performance testing tools such as JMeter or LoadRunner., • Knowledge of version control systems, particularly Git., • Experience testing in AWS or other cloud environments., • Demonstrated leadership and mentorship within cross-functional teams., • High attention to detail with a passion for delivering high-quality, reliable software., • Ability to balance strategic QA oversight with hands-on participation., • Strong communication skills, able to translate technical issues into clear business outcomes.

Job Description Job Title:Python Developer - AI Expert Job Type:Part-time, Contract Location:Remote Job Summary: Join our customer's team as an experienced Backend Developer. In this high-impact, remote role, you'll design, implement, and continually improve robust backend APIs while collaborating with cutting-edge AI research. You'll help test and shape the next generation of developer tools alongside a high-caliber engineering group. Key Responsibilities: • Design, develop, and optimize REST and GraphQL endpoints for scalable APIs., • Drive data validation, error handling, and security best practices within backend services., • Plan and execute database migrations, optimizations, and schema changes as needed., • Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots., • Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows., • Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements., • 3+ years of professional experience as a backend developer, with strong expertise in Python., • Proficient in building and maintaining RESTful and GraphQL APIs., • Advanced understanding of backend data validation, error handling, and API security., • Hands-on experience with database migrations, performance tuning, and schema design., • Extensive use of AI tools for coding; familiarity with Cursor is highly desirable., • Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting., • Visible contributions to open source (e.g., GitHub stars or contributions)., • Experience designing or evaluating experimental tooling and developer workflows., • Demonstrated enthusiasm for AI advancements in software development.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are seeking a Senior Lead Operational Analyst to contribute to the modeling, simulation, and analysis of Shield AI’s aircraft systems. In this role, you will perform analysis at the component, system, mission and campaign levels to evaluate the effectiveness, survivability, and operational impact of our aircraft across multiple domains, missions and applications. You will collaborate closely with engineering, product, and defense stakeholders to assess system performance, inform design trade-offs, and improve mission outcomes. This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI’s AI-powered platforms perform in realistic and contested operational environments. What you'll do: • Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios., • Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments., • Collaborate with engineering teams and product managers to translate operational findings into actionable system insights., • Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments., • Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks., • Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments., • Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints., • Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities., • Monitor emerging threats and operational challenges relevant to autonomous and air combat systems., • Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders., • Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines., • Be a force multiplier by coaching and developing incoming talent.Required qualifications:, • Bachelor’s degree in science, technology, engineering or math domain., • 9+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles., • Active Secret at a minimum. Preferred Top-Secret clearance (or ability to obtain one).Preferred qualifications:, • Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling., • Experience with evaluating strategic development and analysis goals for multi-mission/multi-domain applicability., • Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing., • Experience leading a product effort from pre-shaping to tactical deployment, • Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred) Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Lantern Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. About You: • You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins., • INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with., • You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas., • You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change., • Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear. If this sounds like you, we would love to connect to speak further about career opportunities at Lantern. Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies. Location: Hybrid - at least 3 days/wk in our Dallas, TX office Responsibilities: • Design and implement robust, scalable, and high-performance data pipelines, • Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization., • Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs., • Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms., • Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs)., • Experience supporting production jobs and mitigate issues in a timely manner., • Write unit, integration, and functional tests for new features., • Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices., • 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions., • 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP., • Strong experience with Python, with ability to discuss design patterns; strong SQL skills., • Expert in Microsoft SQL Server (preferred) or other relational databases., • Expertise with SQL, stored procedures, triggers, and performance tuning., • Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks., • Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources., • Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality., • Experience in building data lakes to support high speed querying by the end users., • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders., • Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful., • Experience or knowledge of creating RESTful API's is a plus., • Medical Insurance, • Dental Insurance, • Vision Insurance, • Short & Long Term Disability, • Life Insurance, • 401k with company match, • Paid Time Off

Job DescriptionAbout Lantern Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. About You: • You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins., • INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with., • You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas., • You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change., • Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear. If this sounds like you, we would love to connect to speak further about career opportunities at Lantern. Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate will have solid experience building data pipelines, working with batch processing frameworks, and applying data modeling techniques to support reliable data ingestion and exports. In this role you will collaborate with technology and business stakeholders to deliver data solutions that meet user needs. The candidate should demonstrate an engineering mindset and an interest in developing enterprise-scale solutions using modern cloud platforms, databases, data integration/orchestration tools, and big data technologies. Location: Hybrid - at least 3 days/wk in our Dallas, TX office Responsibilities: • Design and implement robust, scalable, and high-performance data pipelines, • Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization., • Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs., • Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms., • Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs)., • Experience supporting production jobs and mitigate issues in a timely manner., • Write unit, integration, and functional tests for new features., • Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices., • 3+ years of experience as a Data Engineer (or related role), building and supporting data pipelines in production., • 1+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP., • Hands-on experience with Spark, Python, and SQL to build, test, and maintain data pipelines (including writing clear, maintainable code and queries)., • Experience with Microsoft SQL Server (preferred) or other relational databases, including query optimization and performance tuning., • Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks., • Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources., • Experience building data pipelines that are scalable and reliable, with attention to data quality, testing, and operational support., • Experience contributing to data lake or lakehouse solutions to support analytics and downstream consumption., • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders., • Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful., • Experience or knowledge of creating RESTful API's is a plus., • Medical Insurance, • Dental Insurance, • Vision Insurance, • Short & Long Term Disability, • Life Insurance, • 401k with company match, • Paid Time Off

Job Description Title: Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the "New Development" and "Data Reporting" teams but will be primarily tasked with designing, building, maintaining, and automating their enterprise data architecture/pipelines within the cloud. Technology-wise we are needing to come with skills in Azure Databricks (5+ years), cloud-based environment (Azure and/or AWS), Azure DevOps (ADO), SQL (ETL, SSIS packages), and PySpark or Scala automation. Architecture experience in building pipelines, data modeling, data pipeline deployment, data mapping, etc. Personality-wise we need an Engineer who is able to assess, breakdown, and complete tasks without them needing too much direction. There is a lot of ambiguous data that they need to help with define, uncover, and resolve. Most of the work will be done from a solo capacity but collaboration for the data and what defines success is crucial. Top Skills: -8+ Years of Data Engineer/Business Intelligence -Databricks and Azure Data Factory (ADF) (Need version on resume): -Cloud-based environments (Azure or AWS) -Data Pipeline Architecture and CI/CD methodology -SQL -Automation (Python (PySpark), Scala)

Job Description Forhyre is looking for engineers who can bring unique perspectives and innovative ideas to all areas of development and are interested in continuing to improve our platform through the ever-changing technology landscape. To be successful in this role • You'll have the opportunity to design and implement major infrastructure components, systems, and developer-friendly capabilities to improve the availability, scalability, latency, and efficiency of our services, • You will provide technical leadership to cross-functional engineering, infrastructure, and product teams, and evangelize cloud best practices while building a culture of reliability and observability, • Engage in and improve the end to end lifecycle of software development--from inception and design, through deployment, operation and refinement of a highly distributed system running in public cloud, • Serve as subject matter expert in an SRE mindset, best practices, and cloud-native principles, • Scale systems sustainably through automation to improve reliability and velocity, • Assist with all aspects of operational security and compliance, • Run software performance analysis and system tuning, • Design and implement tools to collect data from various sources and provide actionable insights, • Participate in critical incident management and timely post-mortems of production incidents to drive practices around blameless analysis, resolution, and continuous improvement work with cross-functional teams Develop the rest of the team by conducting code reviews, providing mentorship, pairing, and training opportunities Qualification & Skills • We are looking for Principal SRE with proven experience in running distributed systems at scale, in production, • You have 15+ years of experience in relevant skills gained and developed in the same or similar role, • Strong knowledge of container orchestration, preferably Kubernetes and networking technology, • Hands-on experience in one or more languages, such as Node JS, Python, Go, Perl, Ruby, and Bash, • Experience with SOA, Microservices architecture, API Management & Enterprise system Integrations, • Strong production experience with cloud infrastructure, AWS, Azure & Google Cloud, • Strong sense of ownership, and an ability to drive tasks to completion, • Experience developing and monitoring distributed systems, • Experience working in an Agile Environment with great collaboration skills

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Solutions function is tasked with developing and deploying software applications that facilitate critical & advanced operational capabilities across various systems and use cases. This includes the design of interfaces and solutions for over-the-air (OTA) updates, operator training tools, maintenance management systems, and comprehensive flight data analysis capabilities. The team focuses on creating intuitive, robust, and scalable software solutions that integrate seamlessly with existing systems, ensuring that aircraft users and customers experience enhanced product operability and usability. As a Solutions Software Engineering Manager, you will lead a team responsible for the architecture, design, and development of integrated software applications that deploy software updates and optimize in-house flight operations.What you'll do: • Lead and support the team in designing and implementing reliable systems for delivering OTA software updates to internal fleet & customers, ensuring software across aircraft systems remains current and functional without disrupting ongoing operations., • Oversee development of interactive software applications that simulate aircraft operations for training & demo purposes, enabling operators to safely and effectively familiarize themselves with new features and functionalities., • Guide the development of maintenance software and operator-facing applications that help staff track, schedule, and perform maintenance activities efficiently, ensuring aircraft readiness and reliability for flight operations., • Support and review enhancements to tools that collect, process, and analyze flight data, providing actionable insights that improve flight safety, efficiency, and compliance with regulatory standards., • Lead the design and release of applications that optimize daily Customer Success and Production operations., • Coordinate closely with DevOps, Simulation, and Integration & Test teams to ensure all software solutions integrate smoothly with existing systems, maintain system integrity and performance, and reduce code duplication., • Collaborate with the GCS team to deliver customer-facing user interfaces on top of solutions for training, field maintenance, and OTA updates., • Ensure the team delivers software that meets industry standards and customer requirements, including implementing appropriate security measures and testing practices to uphold operational integrity.Required qualifications:, • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, • 6+ years of experience in software development, working on complex or distributed systems, • 1+ years of experience leading projects or managing engineers, • Strong proficiency in Python and/or C++, • Experience designing and building software for deployment systems, data processing, or user-facing applications, • Experience collaborating with cross-functional teams such as DevOps, Integration & Test, or similar, • Experience delivering reliable, secure, and performant software systemsPreferred qualifications:, • Experience with OTA software update systems or fleet-wide software deployment, • Experience developing simulation or training applications, • Experience building maintenance or operator-facing workflow tools, • Experience working with flight data or similar operational data systems, • Familiarity with integrating software across multiple systems and environments, • Experience working in high-reliability, safety-critical, or operational environments Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Lantern Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. About You: • You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins., • INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with., • You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas., • You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change., • Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear. If this sounds like you, we would love to connect to speak further about career opportunities at Lantern. Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. Data Operations, Sr. Manager Reports to: Director of Data JOB OVERVIEW We are seeking a hands-on, customer‑facing Data Operations Leader to oversee and mature our data operations function. This role combines technical depth with operational leadership—monitoring daily data workflows, working directly with healthcare clients, and partnering across Product, Analytics, Governance, and Engineering to deliver scalable, high‑quality data solutions. The ideal candidate is comfortable using SQL, python, spark, and orchestration tools to triage operational issues, dig into file-level details, and improve reliability through automation. This candidate has experience creating tools to improve data observability, and documentation, as well as demonstrated experience utilizing AI to improve operational efficiency. This person acts as a "player‑coach" and will need to balance hands-on technical work, coaching the Data Operations team, and working directly with internal stakeholders. Location: Dallas, TX - Hybrid schedule (3x in office per week) Responsibilities: As the leader of the Data Operations Team: • Communication & Engagement, • Partner with internal teams and external clients to align on data formats, specifications, and integration requirements. Provide clear explanations of healthcare file logic and proactively communicate issues, timelines, and resolutions to reduce escalations., • Operational Ownership & Responsiveness, • Monitor daily data pipelines, alerts, and file transfers; triage and resolve issues quickly to maintain reliable operations. Take ownership of cross-functional issues, even when the root cause spans multiple teams, and ensure stakeholders are informed throughout., • Process Improvement & Automation, • Identify manual steps in file processing, validation, and monitoring and replace them with automated, scalable solutions using Databricks, Python, and Azure tooling. Drive initiatives that reduce operational overhead and improve self-service, including automated QA, schema validation, and observability enhancements., • Monitoring, Data Quality & Observability, • Implement and maintain robust monitoring to detect anomalies in inbound and outbound healthcare files, including 834/837 and flat file formats. Expand logging, alerting, and data quality frameworks to catch issues early and minimize client impact., • Technical Leadership, • Provide hands-on leadership and coaching with SQL, data pipelines, and healthcare data structures—including reviewing notebooks, debugging SQL, validating transformations, and guiding root-cause investigations. Collaborate with Engineering, Cloud Infrastructure, and Governance on scalable architecture and DevOps/Data DevOps best practices., • Team Leadership & Coordination, • Lead the Data Operations team through daily standups, clear prioritization, and coaching. Ensure runbooks, documentation, and onboarding materials are current, and support the team in resolving incidents and onboarding new data assets. Requirements: Education & Experience • Bachelor's degree in Computer Science, Engineering, or a related field., • 5+ years of experience in SQL with the ability to write complex queries., • 3+ years of experience performing ETL and data engineering tasks., • Proficiency in:, • SQL, • Azure Data Services (including Azure Data Factory), • Databricks, • Python, • Strong understanding of DevOps/Data DevOps concepts., • Experience with data observability tools and practices., • Experience with healthcare EDI formats (834, 837, etc.), • Understanding of eligibility, claims, accumulators, and healthcare reporting concepts, • Ability to monitor, diagnose, and improve data observability and integrity, • Capable of handling ad hoc data investigations and resolving complex issues, • Strong documentation habits, including runbooks, specs, and process guides, • Skilled at onboarding and validating new data feeds and assets, • Excellent communicator—able to translate technical concepts for clients and internal partners, • Strong cross-functional collaborator with Product, Analytics, Governance, Engineering, and Infrastructure, • Adaptability to evolving business models and healthcare needs, • Customer-first mindset with the ability to engage confidently on client calls Strong Candidates Will: • Have SQL/Python experience specific to healthcare data, • Be comfortable acting as both an individual contributor and team leader ("player coach"), • Demonstrate experience improving operational reliability, automation, or observability, • Value diversity, inclusion, and collaborative teamwork Benefits • Medical Insurance, • Dental Insurance, • Vision Insurance, • Short & Long Term Disability, • Life Insurance, • 401k with company match, • Paid Time Off, • Paid Parental Leave Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Job DescriptionBenefits: • HYBRID, • Competitive salary Overview We are looking for a highly skilled SDET with strong Java development expertise and a proven track record of building automation frameworks from scratch. This role involves designing, implementing, and executing automated testing strategies across web, client-server, and microservices applications. You will work closely with engineering teams, leverage AWS cloud services, and ensure software quality at scale through modern tools and best practices. Key Responsibilities • Design, build, and maintain automation frameworks (Java, Python) for UI, API, and backend systems., • Automate testing for web, client-server, and microservices-based applications., • Develop and execute service-level automation using Groovy, Rest Assured., • Conduct code reviews and mentor team members on testing best practices., • Integrate automation into CI/CD pipelines (Jenkins, Maven/Gradle)., • Utilize AWS tools (Kibana, Elasticsearch, New Relic) for cloud-based testing and monitoring., • Track and ensure quality metrics using SonarQube. Qualifications • 5+ years of hands-on Java development (building from scratch and enhancing existing code)., • 5+ years experience developing automation frameworks and test strategies., • 3+ years of Selenium automation for web applications., • Experience automating client-server applications., • Practical experience with AWS automation tools and cloud environments., • Strong debugging, troubleshooting, and mentoring skills., • Familiarity with Spring Boot and Kafka is a plus. Flexible work from home options available.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is building autonomous aircraft that redefine aviation. The Software Integration & Operations (SIO) team builds the pipelines, tools, and systems that make fast, reliable delivery of complex aircraft software possible. As a DevOps Build Engineer, you will own and maintain the build system for our autonomous aircraft (XBAT/VBAT). This role is primarily focused on Developer Experience (DevEx) and bringing DevOps best practices to our software engineers to accelerate their development cycles.What you'll do: • Be the expert on our native (C++) software build process., • Improve developer velocity by reducing build/test cycle time and eliminating pipeline bottlenecks., • Collaborate with Software Engineers to understand their requirements, propose designs, and implement identified solutions., • Partner with developers to resolve build/test failures quickly and set best practices for integration., • Integrate CI pipelines with HIL and simulation environments for automated validation., • Implement monitoring, dashboards, and alerts related to build system performance for both local development and CI workflows., • Use agentic solutions to aid in quickly identifying root cause around build failures and getting the appropriate feedback to a Software Engineer. Required qualifications:, • BS in CS, CE, EE, or related field with 7+ years industry experience (or MS/PhD with 5+ years)., • Deep CMake/C++ expertise or equivalent., • Strong understanding of dependency management and proficiency with either Conan or CPM., • Proficiency with containers and orchestration (Docker, Kubernetes, cloud build clusters)., • Strong scripting skills (Python, Bash)., • Hands-on experience integrating automated testing into CI pipelines., • Demonstrated success improving developer productivity at scale. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are seeking an experienced Staff Test Engineer to support the development, integration, and validation of XBat flight critical software systems. This role is responsible for designing and executing test strategies across hardware, software, and system-level components to ensure performance, reliability, and mission readiness. Key responsibilities include developing test plans and procedures, executing verification and validation (V&V) efforts, analyzing test data, and collaborating cross-functionally with engineering, manufacturing, and program teams. The ideal candidate has strong experience with aerospace or defense systems, familiarity with regulatory standards (e.g., DO-178C, DO-254, MIL HDBK 516c), and a proven ability to troubleshoot complex system issues. Qualifications include a degree in engineering or a related field, 7+ years of relevant experience, and strong analytical, communication, and leadership skills. Experience with automated testing, hardware-in-the-loop (HIL), and flight test support is highly desirable.What you'll do: • Develop test plans and procedures, • Executing verification and validation (V&V) efforts, a, • Analyze test data, • Collaborate cross-functionally with engineering, manufacturing, and program teamsRequired qualifications:, • Bachelor’s degree in Engineering, Computer Science, or a related technical field, • Hands-on experience in testing (e.g., 3–7+ years depending on level) across software, hardware, or integrated systems, • Knowledge of test methodologies including verification & validation (V&V), regression testing, and test case development, • Experience with test tools and automation, such as scripting (Python, MATLAB, or similar) and test frameworks, • Ability to read and interpret technical documentation, requirements, and system specifications, • Strong problem-solving skills with the ability to troubleshoot and isolate defects, • Experience working in cross-functional teams (engineering, QA, systems, manufacturing), • Familiarity with relevant standards (e.g., ISO, MIL-STD, DO-178C/DO-254 for aerospace/defense roles), • Strong written and verbal communication skills for documenting and reporting test resultsPreferred qualifications:, • Experience testing and troubleshooting complex embedded systems. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Technical Lead Job Type:Contractor Location: Remote Job Summary: We are seeking an expert Technical Lead to join our customer's team and drive innovation on a cutting-edge AI agent project. In this role, you will leverage your deep hands-on coding expertise to guide the design, development, and training of AI models. This is an exciting opportunity to work remotely with a dynamic, collaborative team on impactful technology initiatives. Key Responsibilities: • Lead technical direction and architectural decisions for AI agent development using modern programming languages., • Collaborate with cross-functional teams to design, build, and optimize scalable AI solutions., • Write high-quality, production-level code in React, Python, Node.js, PHP, .NET, C#, or C++., • Mentor and support team members, fostering a culture of technical excellence and collaboration., • Develop, evaluate, and iterate on AI model training processes to enhance performance and accuracy., • Ensure clear, concise, and effective written and verbal communication within the team and with stakeholders., • 3+ years of hands-on experience developing with React, Python, Node.js, PHP, .NET, C#, or C++., • Proven leadership experience guiding technical teams and projects to successful delivery., • Strong expertise in training AI models and implementing machine learning solutions., • Excellent written and verbal communication skills, with a passion for clarity and collaboration., • Ability to take ownership of complex tasks and drive projects from ideation to completion., • Self-motivated, proactive, and adaptable in a fast-paced remote environment., • Exposure to multiple programming languages and willingness to learn new technologies., • Prior involvement in AI agent or similar advanced technology projects., • Experience working on customer-facing or client-driven teams.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a Propulsion Engineer to serve as the Responsible Engineer (RE) for the Thrust Vector Control (TVC) system on X-BAT. This role demands full lifecycle ownership of the TVC system, from concept and architecture through design, integration, test, flight, and operational support. You will serve as the focal point for all technical matters related to thrust vectoring, ensuring the system enables precise flight control authority, integrates cleanly with the engine and airframe, and performs reliably across the full range of operational conditions. This role is hands-on, data-driven, and highly cross-functional, requiring collaboration with controls, airframe, flight test, and mission teams.What you'll do: • Act as the single-threaded owner for the TVC system, accountable for all technical decisions from concept to flight., • Define and manage system requirements, performance goals, and mechanical/electrical interfaces., • Design and integrate vectoring mechanisms with the engine and surrounding structure., • Lead ground and flight testing of the TVC system, including instrumentation planning, data collection, and performance evaluation., • Analyze control authority, vectoring bandwidth, and dynamic response across the flight envelope., • Collaborate with the controls team to shape vectoring logic and ensure closed-loop system performance meets CONOPS requirements., • Own fault management, failure investigations, and system reliability strategies., • Represent the TVC system in design reviews, technical checkpoints, customer briefings, and leadership updates.Required qualifications:, • Bachelor’s degree in aerospace engineering, Mechanical Engineering, or a related discipline., • 7+ years of experience in aerospace propulsion or flight control systems, with relevant experience owning subsystem development., • Deep understanding of nozzle dynamics, actuation systems, mechanical integration, and structural/thermal constraints., • Demonstrated experience in hardware development, test planning, and flight test support., • Strong proficiency in Python for performance analysis, data processing, and model correlation., • Familiarity with tools such as ANSYS, FEA, or thermal/fluid modeling for mechanism and system validation., • U.S. Citizenship or ability to comply with ITAR requirements.Preferred qualifications:, • Experience with TVC or control effector systems on UAVs, tactical aircraft, or rocket platforms., • Familiarity with low-bypass turbofan engines and integration constraints near hot-end propulsion hardware., • Experience collaborating on control logic development, transient response shaping, and actuator tuning., • Proficiency with Siemens NX and Teamcenter for CAD and configuration control., • Background in failure modes analysis, margin modeling, and system validation strategies. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Data Engineer (AI & Cloud Platforms) We are seeking a Data Engineer to support the design, development, and optimization of modern data platforms across cloud and AI-driven environments. This role will work across internal and client-facing initiatives, building scalable data pipelines, supporting machine learning workflows, and enabling high-performance analytics solutions. Position is hybrid in DFW area. Responsibilities • Design, build, and optimize scalable data pipelines, ETL/ELT workflows, and cloud-based data platforms (data lakes, warehouses, lakehouses), • Support AI/ML integration by building feature pipelines, enabling model workflows, and integrating tools such as LLMs or vector databases, • Develop and maintain cloud infrastructure (AWS, Azure, or GCP) including services like S3, Glue, Athena, and Redshift, • Implement orchestration and automation using tools like Airflow or Prefect, along with infrastructure-as-code (Terraform, dbt), • 5+ years of experience in data engineering or related roles with strong hands-on expertise in Python and SQL, • Experience building and managing data pipelines, warehouses, and modern data platforms (Snowflake, Databricks, BigQuery, etc.), • Hands-on experience with AWS and cloud-based data services, along with orchestration and IaC tools, • Exposure to machine learning pipelines, MLOps concepts, or AI-driven data workflows preferred, • Strong communication skills with the ability to work in client-facing or consulting environments This job is Hybrid Remote. We offer several comprehensive benefits package including health and life insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees. Download the Sparks Group mobile app from Apple App Store or Google Play. Sparks Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, pregnancy, citizenship, family status, genetic information, disability, or protect veteran status.

Job DescriptionJobID: 52093 Job Title Pay $130,000 Location 100% Remote Summary We are seeking an experienced AI Software Engineer to join a dynamic team working on cutting-edge AI tools within a high-growth environment. This role involves building scalable AI-driven solutions, leveraging large language models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native architectures hosted entirely in Azure. The successful candidate will be hands-on, with expertise in software development, problem-solving, and guiding project architecture, contributing to innovative products that enhance data insight and automation capabilities for enterprise clients. Requirements • 7-10+ years of professional software development experience, • Strong hands-on experience in C#, Python, or TypeScript within a Microsoft Azure environment, • Proven expertise in AI/ML, LLMs, and RAG coding techniques, • Extensive experience with Azure cloud services including Azure Functions, Kubernetes, and OpenAI integrations, • Demonstrated problem-solving skills and ability to work within structured development processes, • Ability to learn quickly, adapt, and lead architectural discussions, • Experience developing AI agents at scale in multi-platform environments, • Excellent collaboration and communication skills Responsibilities • Design, develop, and deploy AI tools and solutions using Azure cloud services, • Build scalable, robust, and secure APIs, Azure Functions, and event-driven architectures, • Implement AI/ML models, including LLMs and retrieval techniques, to support intelligent automation, • Collaborate with cross-disciplinary teams to guide project technical direction, • Develop automation, monitoring, and observability tools to ensure high performance and reliability, • Engage in code reviews, technical design discussions, and mentorship, • Stay updated with the latest AI advancements and incorporate them into project workflows#ZR-PRO #LI-GS3 #LI-HYBRID #DICE

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Do you enjoy working in a dynamic lab environment and being part of a design team that will impact the safety of service members and civilians? If so, we want your help designing the next generation aircraft at Shield AI. The Mechanical Test team’s mission is to inform Shield AI hardware design by quantifying product performance and experience with custom measurement tools, and specialized analysis. We are seeking a highly skilled and detail-oriented Structures/Mechanical Test Engineer to support the development, testing, and validation of advanced mechanical systems. The ideal candidate will have strong hands-on experience with hydraulic systems, various sensor technologies (e.g., force, pressure, strain, displacement), be proficient in python for test automation and data analysis, and demonstrate expert level proficiency in CAD tools such as NX.What you'll do: • Develop and execute test plans to validate mechanical performance, structural integrity, and environmental durability from start to finish., • Design, build, and operate test fixtures and systems involving hydraulic actuation, mechanical linkages, and sensor instrumentation., • Integrate and calibrate a range of sensors (e.g., load cells, pressure transducers, strain gauges, accelerometers) into test setups for accurate data collection., • Create and maintain python scripts to provide automation, signal processing, and result visualization., • Analyze test data, troubleshoot system behaviors, and generate detailed technical reports with design feedback., • Collaborate with cross-functional teams including mechanical design, systems, and electrical engineering to define test requirements, run test campaigns and deliver high quality results., • Lead CAD design of custom test equipment, prototypes, fixtures, and components, ensuring manufacturability and safety., • Perform Finite Element Analysis to simulate mechanical performance, validate design assumptions, and correlate analytical results with test data., • Work with metallic/composite materials in the design, fabrication, and testing of mechanical components, with consideration for their unique properties such as anisotropy, delamination risk, and layup configuration., • Support lab safety protocols, equipment maintenance, and continuous improvement of test capabilities.Required qualifications:, • Bachelor’s or Master’s degree in Mechanical Engineering or related field., • 9+ years of experience in mechanical testing or product development environments., • Strong working knowledge of hydraulic systems and their control/measurement., • Experience with sensor selection, integration, and calibration in test environments., • Proficiency in Python for scripting, test automation, and data analysis., • Advanced CAD skills in Siemens NX with experience designing test hardware and prototypes., • Excellent problem-solving skills and the ability to work independently and in team settings.Preferred qualifications:, • Hands-on experience performing MIL-STD testing (e.g., MIL-STD-810, MIL-STD-461) including vibration, shock, thermal, and EMI/EMC testing. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking a Structural Analyst to support the structural analysis and testing of advanced UAVs. In this role, you will work closely with Mechanical, Systems, Propulsion, and Aerospace Engineers to ensure the structural integrity of our lightweight, high-performance aircraft. You will contribute to the design, analysis, testing, and optimization of airframe structures and components, ensuring they meet performance, weight, and safety requirements. This role is ideal for engineers with 7+ years of experience looking to gain expertise in finite element analysis (FEA), composite materials, mechanical testing, and aircraft loads analysis in a fast-paced, high-tech aerospace environment.What you'll do: • Assist in building and refining finite element models (FEM) to evaluate the structural performance of UAV components., • Perform static, modal, fatigue, and vibration analyses to assess stress, deformation, and durability., • Conduct hand calculations to validate FEA results, ensuring accuracy and structural reliability., • Work with design engineers to optimize airframe structures, balancing weight, strength, and manufacturability., • Support the development of test plans for structural validation, including quasi-static, vibration, and shock testing., • Analyze flight telemetry and structural test data to improve modeling accuracy and correlate predictions with real-world performance., • Assist in defining load cases, material properties, and design margins for UAV airframe and mechanical components., • Document and present structural analysis reports and technical recommendations to engineering teams., • Collaborate with cross-functional teams to ensure structural requirements align with system performance goals., • Contribute to the continuous improvement of structural analysis methodologies, tools, and best practices.Required qualifications:, • B.S. in Mechanical Engineering, Aerospace Engineering, or related field., • 7+ years of experience in structural analysis, finite element modeling, or aircraft loads analysis., • Experience with FEA tools (ANSYS, NASTRAN, HyperWorks, or similar)., • Strong ability to perform hand calculations for structural strength, stability, and fatigue analysis., • Knowledge of composite materials and lightweight aerospace structures., • Familiarity with mechanical testing methods (static, vibration, and fatigue)., • Proficiency with data analysis tools (Excel, MATLAB, Python, or similar)., • Strong problem-solving skills, attention to detail, and ability to work in a team environment.Preferred qualifications:, • Master’s degree in Mechanical or Aerospace Engineering., • Experience in aircraft structural design, UAV airframe development, or aerospace testing., • Hands-on experience with structural testing, modal analysis, or composite modeling., • Exposure to CAD software (NX, SolidWorks) and PLM tools (Teamcenter or similar). Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: As a member of the Software Autonomy team, you will be responsible for creating and maintaining all of control and autonomy algorithms within the VBAT code base. This is a full lifecycle development opportunity with algorithm development, software design and coding, unit tests, component tests, flight software qualification and flight test support. You will also be responsible for helping update and validate the simulation models as required. Required qualifications: * Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 2 years and a Master’s degree; or a PhD. * Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.. * Excellent problem-solving and analytical skills, with a focus on delivering user-centric software solutions. * Experience working with control systems, specifically unmanned aerial systems and/or robotics to include * Outer loop path planning / trajectory synthesis * Integrating software in a hierarchical environment Preferred qualifications: * Familiarity with continuous integration / delivery and test-driven development * Strong C++ and Python coding experience * Simulation model development, verification and validation * Controls knowledge with experience in * Linear system analysis * Gain/Phase margin analysis * Time response * Filter development and verification / validation * First order filters * Kalman filters * Bandpass filters #LI-SM1#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Title: Software Development Engineer Summary: Salient Global Technologies CORP has multiple openings for the position of Software Development Engineer which requires at least a U.S. Bachelors in Computer Science or Computer Engineering or a related field and four years of experience in software development life cycle, programming in C, Python, CI/CD pipelines, cloud platforms such as AWS. Location: Full-Time Position (40 hours/week) Schedule: Monday Friday Location: Dallas, TX Applicants must be authorized to work in the United States. To apply, please submit your resume by mail or email: Mail: Human Resources Salient Global Technologies Corp 11252 Leo Lane Dallas, TX 75229 Email: Duties: • Involve in designing, development and deploying various JCL, SQL, VSAM interfaces by interpreting technical and business requirements., • Design the whole backend API for mainframe, provide unit test cases, api documentation., • Responsible for acting as a domain expert for mainframe and work with other developers who will interface with RAN and Front End Applications., • Install and configure various products from IBM in lab, test, pre-prod environment., • Written SQL Server applications to migrate data from one format and application to another., • Develop applications using MEAN Stack., • Involve in a role of DB2 Server administration., • Work with various source control and version control tools like clearcase, svn and GIT., • Create high level diagrams and reviewed with project architect., • Create monitoring scripts to monitor applications and databases, • Develop and direct testing software to validate APIs, • Develop and deploy Containerized applications in Redhat Openshift Kubernetes, • Troubleshoot and analyze call flow from application through Kubernetes, baremetal, network and to mainframe back end, • Modify existing software to correct errors, adapt to new protocols and hardware, upgrade APIs to improve performance, • Prepare reports concerning to project specifications, activities and status., • Work with end users, other programmers, systems architects and project managers in solution delivery.

Job Description Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale. We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS‑ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments. In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production‑grade, governed, multi‑agent systems. You will apply leading GenAI frameworks and LLM platforms — including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases—while operating across the full Agentic SDLC. P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role. We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers. Requirements Client Advisory & Product Vision • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology., • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human‑in‑the‑loop checkpoints, and escalation logic., • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions., • Design and implement multi‑agent architectures using modern GenAI tooling, including:, • Planner, executor, reviewer/critic, and supervisor agents, • Tool‑calling and function‑calling agents, • Memory‑enabled agents (conversation, semantic, episodic, and structured memory), • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow., • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control., • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event‑driven agent workflows., • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:, • Agent design specifications and behavior contracts, • Prompt, policy, and tool versioning, • Simulation environments and offline evaluation, • Automated testing of agent flows and guardrails, • Controlled rollout, telemetry‑driven optimization, and continuous learning, • Build production‑grade AI services primarily using Python, integrating:, • LLM providers such as Anthropic (Claude), OpenAI, and open‑source models, • Retrieval‑Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate), • Implement CI/CD pipelines for agent code, prompts, and policies., • Implement agent observability including tracing, decision logging, tool usage, and failure analysis., • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring., • Design feedback loops incorporating human‑in‑the‑loop review and reinforcement., • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:, • Auditability and traceability of agent decisions, • Model and prompt explainability, • Data privacy and security controls, • Resilience and fail‑safe mechanisms, • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures., • Provide technical leadership and mentorship to consulting delivery teams., • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets., • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.