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Senior AI Engineer - Google AI & Generative Intelligence Job Number: 26-00855 Ready for a rewarding opportunity in the Financial Services Industry? ECLARO is looking for a Senior AI Engineer - Google AI & Generative Intelligence for our client in Paramus, NJ. ECLARO's client is a market-leading insurance company, providing property, casualty, and specialty insurance services within the United States. If you’re up to the challenge, then take a chance at this rewarding opportunity! Position Overview: A highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI. Brings 10–15 years of broad software engineering experience, with the last 4 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices. Responsibilities: Large & Small Language Model Engineering: Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks. Work with open-source/self-hosted LLMs including Mixtral (Mistral AI). Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments. Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA. Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development. Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks. Google AI & Workspace Integration: Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse. Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK). Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping. Utilize Google Cloud Platform (GCP) services including: Vertex AI for ML model training, tuning, and deployment GKE (Google Kubernetes Engine) for container orchestration Cloud Run for serverless deployment Cloud Functions for event-driven AI tasks Vertex AI Vector DBs for semantic search and retrieval Design & Planning: Lead requirements gathering using Confluence for documentation and team collaboration. Create detailed system architecture diagrams and AI workflows using Lucidchart. Design UI/UX prototypes in Figma for AI-powered application interfaces. Manage project delivery and sprint planning using Jira. Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows. Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing. Leverage Hugging Face Model Hub for model comparison, selection, and download. Development Frameworks & Tools: Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph. Build multi-agent systems with Semantic Kernel, and LangGraph. Manage and optimize prompts using LangSmith and PromptLayer. Deploy models locally with Ollama or at scale with vLLM for efficient inference. Track experiments, metrics, and results with MLflow or Weights & Biases. Manage code and data versioning with Git. Vector Databases & Semantic Search: Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB. Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval. Backend Development: Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js). Manage and secure APIs using Mulesoft, Apigee. Frontend Development: Build modern user interfaces using React or Angular. Utilize Material-UI for consistent, accessible, and modern UI components. Prototype and plan UI/UX workflows using Figma. Development Tools & Code Quality: Write and debug code in VS Code with Python and GitHub Copilot extensions. Leverage GitHub Copilot for AI-assisted code suggestions and productivity. Manage source code with GitHub or GitLab. Enforce code quality and standards using SonarQube, ESLint, and Pylint. Testing & Quality Assurance: Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation. Use LangSmith Evaluators for prompt testing and hallucination detection. Write and execute unit tests using pytest. Ensure output quality and reliability using LangChain Evaluators and custom metrics. Deployment & Infrastructure: Orchestrate containers at scale with Kubernetes (K8s), and Google GKE. Automate CI/CD pipelines using GitHub Actions or GitLab CI. Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference. LLM Monitoring & Observability: Monitor LLM performance and usage with LangSmith and Weights & Biases. Track and optimize AI infrastructure costs using OpenMeter and custom dashboards. Set up continuous evaluation pipelines to ensure ongoing model quality and reliability. Monitor application and model performance end-to-end with LangSmith observability tools. Required Qualifications: 10–15 years of overall software engineering experience. 5 years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems. Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations. Proficiency in Python (primary) and familiarity with Node.js. Strong background in cloud-native development on GCP. Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks. Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices. Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph. Preferred Qualifications: Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect). Contributions to open-source AI/ML projects. Experience with edge AI deployments and hybrid cloud-edge inference. Familiarity with synthetic data generation pipelines. Prior experience mentoring junior engineers or interns in AI/ML domains. If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Henry Zuniga henry.zuniga@eclaro.com 2122582147 Henry Zuniga | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Job DescriptionTitle: Collibra DeveloperLocation: WeehawkenRank: Associate Director Role: Collibra lead developer / SME working in the Data Governance function reporting directly to the Delivery Manager in Weehawken.Your responsibilities would include: -Understanding the current Data Governance in house application-Working with our DMO counterparts in the business to come up with a Collibra MetaModel -Providing input to the overall design for Collibra-Setup relevant environments-Implementation of the new metamodel-Collibra Application configuration-Develop workflows-Creation of roles, responsibilities and permissions-Engineer integration capabilities from Collibra to external systems using MuleSoft, Collibra connect.Team: The Data Governance pillar is a global team spanning the US, UK, Romania, Poland and Switzerland with stakeholders also occupying a global presence. The group sits within the wider Reference Data Function.The Collibra team is relatively and we are looking to build it with experienced developers and analysts to drive the Data Governance vision that has been created by IT (us) and our counterparts in the business DMO (Data Management Office)Experience and Skills: -Knowledge of Data Governance, Data Lineage and Data Management.-Experience leading multiple Collibra implementations-Experience with metamodel design-Experience with Workflow Development-Creation of Roles, responsibilities, permissions and controls.-Experience working Collibra Connect and MuleSoft-Certified Collibra Ranger - Preferred but not required-Knowledge of Regulatory drivers within BCBS 239, GDPR, CCAR

Job Description oXya is an independent provider of cloud and managed services, specializing in SAP technical services and cloud solutions. We support midsize and global enterprises in increasing the efficiency, stability, and flexibility of their mission-critical IT systems. Our dedicated teams of experts operate as an extension of our clients’ IT organizations, delivering hands-on technical expertise and long-term partnerships. As an independent advisor, we help clients select the most appropriate technical solutions for their business needs — and manage those solutions end-to-end. oXya runs SAP and related systems across a variety of environments, including private cloud, AWS, Microsoft Azure, and Google Cloud, ensuring secure, reliable, and high-performing operations. About the Role As part of our growth, we are seeking a SAP BTP Integration Specialist responsible for designing, implementing, and managing SAP Business Technology Platform (BTP) solution to support our client’s digital transformation efforts. KEY RESPONSIBILITIES · Analyze client business and technical requirements to design tailored SAP BTP solutions that support enterprise integration and digital transformation initiatives. · Design and implement end-to-end integration architectures between SAP and non-SAP systems using SAP BTP services. · Configure and customize applications, integrations, and extensions using SAP BTP capabilities including Integration Suite, Extension Suite, and SAP HANA Cloud. · Demonstrate deep expertise in SAP Integration Suite, including Cloud Integration (CPI), API Management, Open Connectors, Event Mesh, and B2B/EDI integrations. · Define and implement integration governance frameworks, architectural standards, and reusable integration templates within SAP BTP to ensure consistency, scalability, and best practices. · Enable hybrid cloud and on-premise integrations while building secure APIs and event-driven architectures using SAP API Management and Event Mesh. · Build and manage integrations between SAP S/4HANA, SAP ECC, SuccessFactors, Ariba, Concur, and third-party platforms such as Salesforce, Workday, and ServiceNow. · Design scalable, resilient, and secure architectures leveraging modern DevOps practices including CI/CD pipelines, automation, and cloud deployment strategies. · Monitor, troubleshoot, and optimize integrations and applications using SAP BTP monitoring tools, ensuring high performance, reliability, and cost-efficient cloud workloads. · Stay current with SAP BTP platform innovations, roadmap developments, and industry best practices to continuously enhance client solutions. · Collaborate with SAP BASIS, Network, DevOps, application teams, and other technical stakeholders to ensure seamless solution delivery and operational excellence. · Partner with the Sales and Pre-Sales teams to support client engagements, including solution architecture discussions, technical presentations, proposal development, and effort estimation for SAP BTP opportunities. PROJECT / CHANGE MANAGMENT · Manage the full lifecycle of SAP BTP solutions, from design and architecture through deployment and support. · Lead delivery of SAP BTP solutions in project-based environments while ensuring timelines, quality standards, and budgets are met. · Develop project documentation including architecture designs, integration plans, and operational guides. · Support change management efforts by providing training and transition support for clients adopting SAP BTP solutions. · Participate in Agile or Scrum-based delivery environments when applicable. COMMUNICATION / PRESENCE · Serve as a subject matter expert for SAP BTP across the organization. · Act as the technical liaison between internal teams, clients, and external partners. · Mentor and guide team members on SAP BTP technologies and integration best practices. · Conduct workshops and knowledge-sharing sessions to strengthen internal expertise. ADDITIONAL ROLE SPECIFIC REQUIREMENTs Industry Experience (Preferred) · Experience working with SAP BTP solutions within industries such as manufacturing, retail, or financial services is considered a plus. Integration and Middleware Tools (Preferred) · Experience with middleware or iPaaS platforms such as MuleSoft, Boomi, or Azure Integration Services is beneficial. EDUCATION/EXPERIENCE REQUIREMENTS · Bachelor’s degree in computer science, Information Technology, or a related field. · Minimum 6+ years of SAP experience, including 3–5 years of hands-on SAP BTP experience. · Proven experience delivering complex SAP BTP implementations including integration, extension development, or analytics solutions. · Strong expertise in SAP Integration Suite, API Management, and BTP services. · Experience with SAP Fiori/UI5 development, SAP HANA Cloud, and cloud-native technologies such as Kubernetes or Docker is preferred. · Familiarity with DevOps practices including CI/CD pipelines, automation, and modern deployment strategies. · Understanding of SAP cloud security and compliance standards. · SAP BTP certification or related certifications are highly desirable. Why Join Us Build Real-World Expertise: Gain hands-on experience working in complex, enterprise-grade SAP environments that power global business operations. Learn from the Best: Collaborate with a diverse and experienced team of SAP professionals committed to mentoring and sharing knowledge. Work with Modern Technologies: Engage with cutting-edge cloud platforms and infrastructure solutions (e.g., AWS, Azure, SAP BTP, SAP HANA) that are shaping the future of enterprise IT. Accelerate Your Career: Lay the foundation for long-term success in SAP and IT by developing skills that are in high demand across industries. All qualified applicants will receive consideration for employment without regard to race, color, religion, place of origin, ethnic origin, national origin, ancestry, age, sex, sexual orientation, gender identity, transgender status, genetic information, mental or physical disability, marital status, pregnancy, veteran status, or any other characteristic protected by applicable national, state, or local law.

Job Description Job Title: Senior Product Manager – API Integrations & Technical Support Location : Hybrid Compensation : 50-60$/Hr on C2C/1099 Work Authorization: GC, USC Position Summary We are seeking a Senior Product Manager to lead the strategy, design, and execution of enterprise API integrations and technical support solutions across our healthcare payer ecosystem. This individual will play a key role in enabling secure, scalable, and standards-based interoperability between internal systems, provider networks, third-party platforms, and regulatory agencies. This role demands a deep understanding of API lifecycle management, healthcare data standards (e.g., HL7, FHIR, X12), and enterprise integration strategies, combined with strong leadership and cross-functional collaboration skills. The ideal candidate will have experience delivering technical solutions in complex healthcare payer environments, with a focus on performance, reliability, and supportability. Key Responsibilities · Lead the product lifecycle for API integration capabilities — from strategy and roadmap definition through development, deployment, and ongoing support. · Define and maintain API product specifications, data models, standards, and usage documentation to enable secure and consistent integrations across payer platforms. · Partner with engineering, architecture, data governance, and business stakeholders to map source systems and data requirements to external and internal integration needs. · Drive alignment between business requirements (e.g., provider access, claims integration, eligibility checks) and technical delivery, ensuring APIs meet the performance, security, and compliance needs of a healthcare organization. · Collaborate with technical support teams to define and evolve API error handling, monitoring, versioning, and issue resolution protocols. · Lead technical support strategy for APIs, ensuring partners and developers have the tools, documentation, and guidance needed for successful integration. · Work with analytics and engineering teams to analyze API usage patterns, identify performance issues or opportunities, and define KPIs for platform reliability and customer satisfaction. · Facilitate cross-functional planning and agile execution, including backlog grooming, sprint prioritization, and go-to-market readiness. · Support enterprise interoperability and compliance initiatives (e.g., CMS Interoperability Rule, TEFCA) by managing APIs and integrations aligned with regulatory requirements. Required Qualifications · 7+ years of experience in product management or technical product leadership, including 3+ years specifically focused on APIs and system integrations in a healthcare payer or similarly complex, regulated environment. · Strong understanding of payer business domains, including claims processing, eligibility and enrollment, provider systems, and EHR/EMR integration. · Proven ability to write or review API specifications and documentation (e.g., Swagger/OpenAPI), data models, and integration guides. · Experience with data mapping, source-to-target documentation, and working with enterprise data teams to align API functionality to source systems. · Deep familiarity with RESTful API design, API lifecycle management, and platforms like Apigee, Mulesoft, AWS API Gateway, or equivalent. · Strong understanding of FHIR, HL7, X12, and other healthcare interoperability standards. · Ability to analyze and report on technical issues, usage trends, and integration KPIs. · Excellent collaboration and communication skills; ability to interface effectively with engineers, business teams, and external partners. · Hands-on experience supporting technical troubleshooting and resolution for partner or internal developer API issues. Education · Bachelor's degree in Computer Science, Information Systems, Healthcare Administration, or a related field required. · Master’s degree or certifications in Product Management, Healthcare IT, or Cloud/Integration Platforms preferred. Preferred Experience · Experience working with or integrating provider portals, clearinghouses, or EHR platforms (e.g., Epic, Cerner). · Knowledge of CMS interoperability regulations, ONC guidelines, and payer data exchange requirements. · Familiarity with service-level management for APIs, including uptime SLAs, support tiers, and incident response. · Prior involvement in modernizing legacy systems or leading digital transformation initiatives in payer environments.

Deloitte is seeking a high-impact Senior Consultant to help accelerate the growth of our strategic alliance with Salesforce across Data Foundation and Cyber/Security offerings, including Informatica, MuleSoft, Data 360, and Data Cloud.This role is a unique opportunity to operate at the center of all

Job DescriptionSenior Gen AI EngineerJob at a Glance • Title: Senior Gen AI Engineer, • Location: Paramus,NJ / Hybrid, • Contract: W2 only, 6-12 month contract with potential for extension or conversion to full time with either the client or CEI, • Pay: $90-95/hour + optional medical, dental, vision, 401(k) matchOverview We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI. The ideal candidate brings 10–15 years of broad software engineering experience, with the last 4+ years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem — including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI — alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices. Key Responsibilities • Large & Small Language Model Engineering Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks. Work with open-source/self-hosted LLMs including Mixtral (Mistral AI). Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments. Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA. Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development. Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks., • Google AI & Workspace Integration Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse. Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK). Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping. Utilize Google Cloud Platform (GCP) services including: Vertex AI for ML model training, tuning, and deployment GKE (Google Kubernetes Engine) for container orchestration Cloud Run for serverless deployment Cloud Functions for event-driven AI tasks Vertex AI Vector DBs for semantic search and retrieval., • Design & Planning Lead requirements gathering using Confluence for documentation and team collaboration. Create detailed system architecture diagrams and AI workflows using Lucidchart. Design UI/UX prototypes in Figma for AI-powered application interfaces. Manage project delivery and sprint planning using Jira. Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows. Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing. Leverage Hugging Face Model Hub for model comparison, selection, and download., • Development Frameworks & Tools Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph. Build multi-agent systems with Semantic Kernel, and LangGraph. Manage and optimize prompts using LangSmith and PromptLayer. Deploy models locally with Ollama or at scale with vLLM for efficient inference. Track experiments, metrics, and results with MLflow or Weights & Biases. Manage code and data versioning with Git., • Vector Databases & Semantic Search Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB. Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval., • Backend Development Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js). Manage and secure APIs using Mulesoft, Apigee., • Frontend Development Build modern user interfaces using React or Angular. Utilize Material-UI for consistent, accessible, and modern UI components. Prototype and plan UI/UX workflows using Figma., • Development Tools & Code Quality Write and debug code in VS Code with Python and GitHub Copilot extensions. Leverage GitHub Copilot for AI-assisted code suggestions and productivity. Manage source code with GitHub or GitLab. Enforce code quality and standards using SonarQube, ESLint, and Pylint., • Testing & Quality Assurance Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation. Use LangSmith Evaluators for prompt testing and hallucination detection. Write and execute unit tests using pytest. Ensure output quality and reliability using LangChain Evaluators and custom metrics., • Deployment & Infrastructure Orchestrate containers at scale with Kubernetes (K8s), and Google GKE. Automate CI/CD pipelines using GitHub Actions or GitLab CI. Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference., • LLM Monitoring & Observability Monitor LLM performance and usage with LangSmith and Weights & Biases. Track and optimize AI infrastructure costs using OpenMeter and custom dashboards. Set up continuous evaluation pipelines to ensure ongoing model quality and reliability. Monitor application and model performance end-to-end with LangSmith observability tools.Required Qualifications, • 10–15 years of overall software engineering experience., • 5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems., • Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations., • Proficiency in Python (primary) and familiarity with Node.js., • Strong background in cloud-native development on GCP., • Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks., • Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices., • Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.Preferred Qualifications, • Google Cloud Professional certifications (Professional ML Engineer, Professional Cloud Architect)., • Contributions to open-source AI/ML projects., • Experience with edge AI deployments and hybrid cloud-edge inference., • Familiarity with synthetic data generation pipelines., • Prior experience mentoring junior engineers or interns in AI/ML domains. About CEI: As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements. #ZR #INDGEN

MuleSoft AnyPoint platform (MuleSoft Certified Developer Level 1 certification preferred). As an AVIO MuleSoft Senior Developer you will be part of a team delivering MuleSoft based solutions for our clients. You will be responsible for delivering components of a MuleSoft based solution by leveraging

MuleSoft Certified Integration Architect - Level 1 certification Required. MuleSoft, API-led connectivity Architecture, REST, SOAP. Everlight Solar is seeking a skilled MuleSoft Developer who will design and code functional API’s and applications, producing fully functional middleware applications

As a MuleSoft Solutions Architect, you will be responsible for designing and implementing integration solutions using MuleSoft’s Anypoint Platform. Solution Architect & Mulesoft projects. Strong expertise in MuleSoft Anypoint Platform (Mule 3.

MuleSoft Certified Developer (Level 1 or 2) and/or MuleSoft Certified Integration Architect. Design and deliver scalable, reusable MuleSoft APIs and integrations while ensuring alignment with business needs and technical standards. Define and enforce MuleSoft development best practices, coding stand

MuleSoft Developer and/or Architect certifications (preferred). Gurobi Optimization, you will be critical in designing, developing, and implementing integration solutions using the MuleSoft Anypoint Platform. You will be responsible for the day-to-day administration of the MuleSoft platform

As a Data Foundation AE, you own both MuleSoft and Informatica as part of your portfolio. By unifying MuleSoft's connectivity, Informatica's data management depth, and Salesforce Data Cloud's scale, you empower CIOs to move past simple chatbots and deploy AI agents that actually act across the entir

Mulesoft Lead/Architect Location: (Remote Work) with 50% Travel. Architect large scale MuleSoft and IIB implementations.

A leading tech company is seeking a Mulesoft Lead/Architect who will be responsible for architecting large-scale MuleSoft and IIB implementations.

Bachelor's Degree Desired Skills/Experience: Knowledge of Salesforce/MuleSoft product and platform features, capabilities, and best use Experience negotiating complex multi-year services contracts * Experience with an enterprise CRM or customer service applications Leadership Qualitie

Responsible for selling Canon's hardware and software technology-based solutions within an assigned account list.This role requires you to live within a reasonable commuting distance to.Develops strategies to penetrate accounts with the key decision makers within assigned account list.The focus is o

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.Experts contribute directly to how A

Walmart is expanding its massive workforce, and American Career Guide is here to help you explore available roles at the retail giant.Positions are open across multiple departments, offering career paths for both entry-level talent and experienced professionals.Join the Walmart team and help provide

This opportunity is only for candidates currently residing in the specified country.Your location may affect eligibility and rates.We believe in using the power of collective intelligence to ethically shape the future of AI.The Mindrift platform connects specialists with AI projects from major tech

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption.Brillio, renowned for its world-class professionals, referred to as "Brillian

Semgrep, the leader in code security for builders, empowers invention without friction.Teams catch, flag, and fix real issues before they ship, powered by security that learns as they build.Semgrep secures code as it’s written and provides guardrails that pave the road for developers to move fast

This is a fully remote opportunity based in the US.At EngFlow, we help developers save time by accelerating software builds and tests.Our cloud-based, distributed service optimizes developer workflows through remote execution and caching, improving efficiency, productivity, and product quality.Backe

Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster.We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that wil

As a Mid-Market Account Executive specializing in Specialty Contractors at Clearstory, you’ll play a critical role in driving revenue growth by identifying, engaging, and closing new business opportunities.You’ll manage the full sales cycle—from initial outreach to signed contracts—while del

Age of Learning® is the leading developer of engaging and effective Pre-K through 5th grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning.The company’s research-based curriculum, developed by education experts, includes the aw

Liquibase is the leader in the database release automation segment of the DevOps market.Downloaded more than 75 million times, the open-source software enables DevOps teams around the globe to accelerate the software delivery process by automating database updates.At Liquibase, you can expect to rev

Orb is transforming how modern AI and software companies monetize at scale.We've built the next-generation billing infrastructure that turns complex usage-based pricing into competitive advantage.Our developer-first approach powers companies like Vercel, Pinecone, and Replit, delivering real-time bi

We are an applied AI lab building end-to-end software agents.We’re the makers of Devin, the first AI software engineer.Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.Our t

Cinder provides a cutting-edge platform to protect the internet.Trust & Safety teams at the world’s most influential companies need powerful solutions that allow them to innovate and adapt as quickly as the threats they face.Companies rely on our software to make policies, label, moderate, enforce

GitLab is the intelligent orchestration platform for DevSecOps.GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.More than 50 million registered users and more than 50% of the Fo

LaunchDarkly is specifically looking for product oriented, customer focused, sales-oriented individuals to play a significant role in the expansion of our Mid Market Account Executive team.This role will work directly with a manager, sales engineers, and other resources to help customers successfull

We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software.Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the i

As an Account Executive for Spotify Backstage, you will be responsible for driving revenue growth by building strong relationships with clients and understanding their technical needs related to Backstage.You’ll work with businesses across various industries, helping them adopt and integrate Backs

United Imaging is a leading global medical device developer and supplier with a diversified portfolio of advanced medical products, digital healthcare solutions, and intelligent solutions that cover the entire process of imaging diagnosis and treatment.From our North American HQ in Houston, we are p

We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software.Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the i