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Pay Rate: up to $63/hr on W2 (No C2C or 3rd parties) Location: Hybrid schedule with 2-3 days onsite in Newark, NJ • Work as a Project Staff Engineer in the Customer Energy Solutions organization, utilizing a broad knowledge of business and energy engineering principles and practices acquired through progressive field and academic experience., • Job is to provide engineering support for energy efficiency projects for various energy efficiency programs, with a focus on energy savings estimates., • This includes the technical evaluation of investment grade audits conducted by third parties, the technical evaluation of engineering design documents and energy models for projects, and technical review of projects during and after construction to ensure projects are achieving estimated savings., • The position will be responsible for reviewing technical designs and estimate savings of multimillion-dollar projects based on technical resource manuals, and sound energy engineering principles., • Position will also be responsible for reviewing, overseeing, QA/QC of small and mid-sized projects, as well as overseeing models and processes to ensure that projects are cost effective. Job Responsibilities • Interface with our client's associates, vendors, customers, and outside consultants to assure the program rules and requirements are maintained, the projects are cost effective, and the information needed for management and regulatory reporting is accurate and timely., • Identify, assess, examine, and standardize complex energy savings analysis within the various Commercial & Industrial and Multifamily programs., • Utilize a broad knowledge of business and engineering principles and practices, including financial and cost management, acquired through progressive experience., • Develop technical documentation and engineering calculators to streamline technical reviews and improve on quality of deliverables. Required Qualifications: • B.S. in Engineering, • Minimum of 2 years of experience related to Energy Efficiency Projects or Project Management of construction, HVAC or mechanical projects in Industrial & Commercial sectors., • Must be knowledgeable of Commercial & Industrial and Multifamily energy savings measures and techniques., • Familiarity with applicable industry standards (ASHRAE, NJ Technical Reference Manual, etc.), building codes and best practices., • Applicant must have effective problem-solving, analytical thinking, decision-making skills, strong planning and organizing skills, must be adaptable and be results-oriented., • Clear and concise writing and verbal (oral and written) communications skills are essential., • Possess demonstrated leadership skills on critical projects or initiatives., • Strong attention to detail., • Demonstrated proficiency with Microsoft Office (Excel & MS Word), • Valid driver's license and ability to travel within our client's territory to conduct meetings with customers and constituents and manage relationships with contractors., • Candidate must foster an inclusive work environment and respect all aspects of diversity. Successful candidate must demonstrate and value differences in others' strengths, perspectives, approaches, and personal choices., • Ability to work independently. Desired Qualifications: • Certified Energy Manager (CEM) from AEE, • LEED Certification, P.E. License, Lean Six Sigma Certification, • Advanced skills in Excel such as complex formulas and VBA Macros, • Experience with building simulation and code compliance software (i.e. eQUEST, Client, TRACE 3D, etc.), • Familiarity with energy saving methodologies for advanced building controls.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Mechanical Engineer (Data Centers) - Hybrid/Remote This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $150,000 per year A bit about us: Award-Winning Engineering Consulting Firm specializing in Design/Build Mission Critical Projects, Hyperscale Data Centers, and Healthcare Facilities. For over 40 years we’ve built a team of innovative Engineers & Architects devoted to principles of design excellence and exceptional service. Our leadership remains actively involved in every project, guiding planning, design, management, and implementation. Over the years, our practice has expanded to include a diverse, multidisciplinary staff with expertise across a wide range of project types. This blend of technical depth and industry diversity enables an innovative, holistic approach to each engagement. With experience spanning Mission Critical Facilities, Data Center, Healthcare, and Research & Technology, we are constantly evolving with the latest advancements to deliver forward-thinking solutions and a strong commitment to client services. Why join us? We can offer you the opportunity to work on State-of-the-Art Projects including Hyper Scale Data Centers Competitive Base Salary Competitive Bonus 401K Matching Contribution Benefits Package Comprehensive Benefits Package (Health/Dental/Vision) Accelerated Career Growth & Professional Development Flexible Work Schedule and Paid Time Off Job Details Mechanical Engineer (Data Centers) - Hybrid/Remote We are actively seeking a Mechanical Engineer with expertise in Computational Fluid Dynamics (CFD) modeling to support Data Center systems. The ideal candidate will bring 3-5+ years of CFD analysis experience using Cadence software, along with a strong understanding of data center cooling systems, airflow analysis, and thermal optimization. This role offers the opportunity to work on both interior white space and exterior infrastructure modeling, directly contributing to improved cooling performance, energy efficiency, and overall environmental behavior of data center facilities. Requirements: Bachelor’s Degree in Mechanical Engineering or a related field. 3 - 5+ years of Mechanical Systems Design experience for Data Center or Healthcare Projects. Experience in Computational Fluid Dynamics (CFD) Modeling for Data Center Systems. Experience using CFD tools, preferably Cadence. Experience with Data Center cooling technologies including IT equipment, emergency generators, air-cooled/water cooled chillers, cooling distribution units, cooling towers, adiabatic coolers, CRAH/CRAC units, liquid cooling systems, and containment solutions. Strong understanding of thermodynamics and fluid mechanics as applied to HVAC and Data Center systems. Proficiency in interpreting engineering drawings, equipment specifications, and facility layouts. Ability to manage multiple CFD modeling tasks with strong attention to detail and accuracy. Strong communication skills, with the ability to present complex technical findings to non-technical stakeholders. Knowledge of industry standards relevant to Data Center design. Preferred, Not Required Engineer-in-Training (EIT) or Professional Engineer (PE) License – Preferred, Not Required Experience supporting design optimization for high-density or mission-critical Data Center environments. Duties: Develop CFD Models (Air and Liquid) of Data Center white space and outdoor infrastructure. Simulate airflow, heat transfer, and pressure distributions to evaluate cooling performance, containment strategies, and equipment layouts. Analyze interior and exterior Data Center conditions to optimize airflow, thermal behavior, and environmental performance. Evaluate exterior environmental conditions including wind loading, heat island effects, and outdoor air intake behavior. Interpret simulation results to identify risks, inefficiencies, and opportunities for design improvement. Collaborate closely with the Architectural/Electrical/Mechanical design teams to support Data Center system design decisions. Prepare technical reports and presentations summarizing modeling assumptions, methodologies, results, and design recommendations. Support design optimization for cooling systems, containment solutions, and equipment placement. Maintain and refine CFD simulation libraries, including equipment models, boundary conditions, and environmental templates. Ensure CFD modeling and design recommendations comply with ASHRAE TC 9.9 and internal Data Center Design standards. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. 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Process Engineer Job Duties: Oversees and assesses existing processes and workflows. Assembles reports to document process status and changes. Utilizes process simulation software to test and find the

An innovative photonics company in Hoboken, NJ, is seeking a Senior Engineer for Photonic Integrated Circuit (PIC) design.This pivotal role involves designing, developing, and optimizing photonic devices.The ideal candidate should have a Ph.Responsibilities include managing design simulation, proces

Bachelor's degree or higher in Electrical Engineering, Computer Science, Computer Engineering, Systems Engineering, Physics or related STEM degree with minimum 5 years related experience. Advanced degree in Computer Science/Engineering, Electrical Engineering, Physics or equivalent. As a Senior Soft

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations. We're backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As an Agent Engineer at Amigo, you'll implement production AI agents using our architecture and verification framework. You'll work directly with clinical teams and enterprise customers to build agents that handle complex, specialized services with measurable reliability. This role requires strong technical implementation skills combined with the ability to translate domain expertise into working systems that maintain perfect compliance in regulated environments. What you'll do * Implement context graphs that enable agents to select the right reasoning mode (lookup, pattern recognition, exploration) based on problem complexity * Build and optimize agent configurations, including static personas, dynamic behaviors, and functional memory systems * Design bounded Operational Patient Domains (OPDs) with explicit inclusions, exclusions, capabilities, and escalation rules * Implement verification loops and simulation-based testing to validate agent performance against customer KPIs * Write Python code for tool integrations and API orchestration within customer environments * Build evaluation suites that gate deployments using customer-specific success metrics * Collaborate with domain experts through structured interviews to capture reasoning patterns and clinical protocols * Support technical power users through git-based workflows for rapid iteration * Implement adversarial testing to systematically identify and prevent failure modes * Ensure agents maintain audit-ready provenance with version pinning and evidence links * Contribute to systematizing implementation patterns across different problem domains What we're looking for * 2+ years of production software engineering experience * Strong Python skills including proper use of typing, and experience building highly reliable systems that interact with external APIs (schema design, retry strategies, error propagation) * Experience with LLMs, prompt engineering, and building on AI platforms * Ability to implement systems with strict reliability requirements * Understanding of testing and verification methodologies * Experience working directly with customers or stakeholders to deliver technical solutions * Familiarity with git workflows and collaborative development * Strong debugging and problem-solving skills for complex systems * Ability to balance theoretical concepts with practical implementation constraints * Clear technical communication for both engineering and non-technical audiences Nice to have * Experience in regulated industries (healthcare, finance, legal) * Background with simulation, synthetic data, or evaluation frameworks * Understanding of distributed systems and service-oriented architectures * Experience with observability and monitoring in production environments * Familiarity with compliance requirements (HIPAA, SOC 2, GDPR) Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $130K - $160K

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs a Software Engineer (Systems) with the Robotics and Automation group at Radical AI, you will work across the software stack. Your work will encompass interfaces to low-level instruments, high-level scheduling and orchestration suites, and system introspection such as telemetry and dashboarding. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Roboticists, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission • Design, implement, and maintain hardware drivers for laboratory instruments, sensors, and peripheral actuators used in automated workcells, • Develop robust, well-defined APIs that expose device and subsystem functionality to higher-level automation software, • Integrate low-level drivers into service-oriented architectures, enabling reliable orchestration as workcells mature and scale, • Write unit tests, e2e simulation-based tests, and hardware cycle-testing scripts, including unit tests, integration tests, and scenario or replay-based validation, • Support incremental rollout of new hardware and services as automated workcells come online, • Create and maintain observability dashboards (e.g., Grafana) to monitor lab health, latency, error rates, and system utilization, • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack, • Bring an attitude of collaboration and openmindedness, to facilitate fearless and creative problem solving that empowers our team to ship world-class technology at an unprecedented speed.About you, • Four+ years of professional software engineering experience, • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, • Strong proficiency in a scripting language like Python as well as systems languages like C++/Go, with experience writing production-quality, hardware-facing software, • Strong CS fundamentals - concurrency, multi-threading & multi-processing, • Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment, • Ability to work independently in a hands-on, development-oriented environment., • Strong communication skills and ability to collaborate across engineering and scientific disciplines.Pluses, • Experience working with industrial or laboratory instrumentation, • Experience with ROS/ROS2 or robotics middleware, • Comfort with a wide variety of industrial protocols - OPC-UA, ModBUS, TCP /IP, • Prior experience deploying software to production robotics or automation environments, • Prior startup experience or ownership of systems from early prototype through productionWhat we offer, • A competitive compensation package also includes the best in benefits., • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking a Senior Control Systems Engineer to work on the design of the control system for the company’s Eos integrated stellarator. This role will define the overall control system architecture, select core technologies, design platforms, and manage technical interfaces between all major control subsystems including plasma control, power supply control, cryogenic control, safety systems, and data acquisition. As a senior technical engineer, this role will work closely with subsystem teams, vendors, and collaborators to ensure that the architecture meets real-time performance, reliability, scalability, and regulatory requirements. This role is pivotal in shaping the next-generation control infrastructure for one of the most innovative stellarator-based fusion pilot plants in development. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. This role will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Lead the definition of the Eos control system architecture (functional, physical, and communication layers)., • Select core technologies for real-time control, SCADA, networking, timing, and data management., • Develop high-level system specifications, interface control documents (ICDs), and system block diagrams., • Oversee integration and coordination of control subsystems., • Ensure consistency across communication protocols (e.g. OPC UA, DDS, Modbus, EPICS)., • Contribute to the selection of PLC/DCS platforms for safety- and mission-critical systems., • Work with the AI/ML and Plasma Control teams to integrate predictive control and digital twin functionality into the architecture., • Support development of conceptual and preliminary design packages, including architecture reviews and validation plans., • Collaborate with systems engineering to ensure alignment with the overall plant functional architecture and TRL maturity goals.Ideal Experience & Skillsets:, • Bachelor’s or Master’s degree in Electrical Engineering, Control Systems, Physics, or related field., • 5+ years of experience in control system design for fusion energy, particle accelerators, large scientific facilities, or similar high-reliability environments., • Strong proficiency with EPICS or TANGO control frameworks, Simulink and MATLAB for system modeling and simulation, SysML/UML for system-level architecture and documentation, and OPC UA, DDS, TCP/IP, PTP/White Rabbit communication protocols., • Experience with high-speed data acquisition, real-time systems, and distributed control., • Knowledge of IEC 61508 / 61511 or other safety-related standards., • Familiarity with PLC platforms (e.g. Siemens, Beckhoff, Allen-Bradley)., • Experience working in multi-disciplinary teams and managing technical vendors., • Hands-on experience with FPGA or embedded systems is a plus., • Previous experience in early-phase fusion device development is highly desirable.Company Benefits:, • Salary range $95,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call.

Job DescriptionCareer Renew is recruiting for one of its clients a Reinforced Learning Engineer - Crypto - this is a fully onsite role in NYC. Salary range: 600-800K USD yearly plus benefits. Job description: * Own and ship an RL-driven trading agent using real capital to increase trading volume and user participation in a memecoin ecosystem. * Design reward functions and policies aligned with product goals while enforcing strict downside risk constraints. * Build evaluation and validation frameworks (simulation, offline analysis) to minimize reliance on live sequential testing. * Safely transition an existing heuristic-based production system toward learning-based approaches. * Take end-to-end ownership and technical leadership as the sole RL expert, from data and modeling through deployment, monitoring, and safeguards. Requirements: * Has already put an autonomous learning system into production that directly controlled capital, pricing, traffic, or resources and can explain what broke and how they fixed it. * Has personally designed and enforced hard risk limits (capital caps, loss bounds, circuit breakers) in a live system, not just talked about “risk-aware objectives.” * Has built a policy evaluation loop from scratch (simulators, replay, counterfactuals, shadow deployments) before trusting live rollout. * Can make and defend uncomfortable tradeoffs (e.g. heuristic > RL, bandit > deep RL) based on empirical results instead of ideology * Has operated as the single owner of a complex ML system in a small team, with no safety net of research orgs, infra teams, or “ML platforms.” Compensation & Package Base Salary + Equity/Tokens

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory. You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission • Architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation, • Design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments, • Collaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes, • Build and maintain APIs and services for scheduling, execution, monitoring, and data capture, • Develop simulation, testing, and validation tools to accelerate development and ensure system reliability, • Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and execution, • Optimize system performance, robustness, and throughput under rapid iteration cycles, • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack, • Mentor junior engineers and help establish engineering standards in a fast-growing organization, • Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed.About you, • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, • Four+ years of professional software engineering experience, with significant work in robotics or automation systems, • Strong proficiency in modern programming languages such as Python and C++, • Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems), • Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testing, • Solid understanding of motion planning, state machines, real-time or near-real-time control systems, • Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment, • Ability to work independently in a hands-on, development-oriented environment., • Strong communication skills and ability to collaborate across engineering and scientific disciplines.Pluses, • Experience deploying autonomous systems in laboratory, manufacturing, or industrial environments, • Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM), • Experience with reinforcement learning and computer vision applied to robotics, • Familiarity with machine learning applied to robotics, experimentation, or optimization, • Prior startup experience or ownership of systems from early prototype through productionWhat we offer, • A competitive compensation package also includes the best in benefits., • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Summary We are seeking a skilled Mechanical Engineer to join our New York office and play a key role in delivering world-class MEP design projects. As a leading MEP design firm in the architectural engineering consulting industry, we’re looking for a technically proficient professional with leadership skills and project management experience. The ideal candidate is passionate about engineering and architecture and is committed to designing high-performance, sustainable, and iconic buildings. Key Responsibilities * Develop and conceptualize mechanical HVAC systems and present design solutions to clients and stakeholders * Produce high-quality mechanical HVAC construction documents * Design building automation systems (BAS) and sequences of operation * Prepare detailed technical specifications for mechanical systems * Manage project schedules, budgets, and deliverables * Establish and maintain strong client relationships * Deliver technical presentations to clients, project teams, and industry audiences * Mentor and train junior engineers and team members * Oversee quality control for engineering deliverables and ensure design accuracy Key Skills & Competencies * Proven leadership and team development abilities * Strong analytical and creative problem-solving skills * Proficiency in Microsoft Office, AutoCAD, and Revit * Experience with HVAC engineering calculations and performance simulation tools Qualifications * Bachelor’s degree in Mechanical or Architectural Engineering * Minimum of 3+ years of relevant industry experience

Job DescriptionAbout Us: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. Why Join us? At Voyant, you’ll help build some of the world’s most complex silicon photonics chips, reimagined for high-performance 3D sensing. Our chips are at the heart of our LiDAR systems, and your work has a direct impact on our core product and roadmap. As a Senior Silicon Photonics Engineer, you’ll play a key role in defining photonic architecture and developing new passive and active components. In your first year, you’ll own simulations, and design system PICs, working hands-on from concept through implementation. You’ll join a small, fast-growing team that collaborates tightly across photonics, systems, packaging, and electronics. The role offers both deep technical ownership and real growth potential — from leading component design to eventually overseeing full tapeout efforts across disciplines. If you're excited by cutting-edge technology and meaningful challenges, this is a rare opportunity to shape a core system in a company that’s bringing photonics innovation to market. Key Responsibilities: * Design and simulate photonic components and system-level functionality and performance * Design schematics, draw layout, as well as work with layout engineers to create photonic systems and component test structures. * Own and drive complex tapeouts to completion on time * Work closely with external manufacturing partners to inform component design, process integration, and performance monitoring. * Develop component and system-level optical testing plans and collaborate with the test team to develop optoelectronic testing setups, perform hands-on photonic component and optical system-level testing. * Work with the product team to transition/scale testing for performance evaluation. * Collaborate with cross-functional teams to integrate our photonic chips into the LIDAR system and evaluate their performance * Contribute to the expansion of our IP portfolio through patent filing Qualifications: * Ph.D. with research in silicon photonics with 2+ years’ experience * Proven track record leading one or more successful silicon photonics foundry tapeouts * Strong understanding of planar waveguide optics, both passive components such as waveguides, multiplexers/demultiplexers, tapers, couplers and active such as waveguide detectors, lasers and optical amplifiers * Strong understanding of photonic system-level design concerns * Strong understanding of photonic component-level design concerns * Experience in photonic fabrication * Good understanding of CMOS manufacturing process steps and constraints on the design of photonic devices * Proficient with mainstream photonic components and systems simulation packages such as Lumerical, Tidy3D and COMSOL * Proficient with complex optoelectronic lab testing techniques and equipment, necessary to validate designs, including high speed detectors, oscilloscopes, spectrum analyzers, precision positioning setups * Collaborative in a multi disciplinary startup environment, ability to work both with local and remote team members as well as with our manufacturing partners * Independent, analytical thinker, comfortable in a fast-paced dynamic frontier technology environment Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionReinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation: Competitive Our client is an elite development firm and a high-growth software company responsible for building the infrastructure behind the world’s largest crypto social networks and digital asset launchpads. Operating at the frontier of decentralized finance, the organization is composed of a mission-driven group of builders who prioritize speed, technical excellence, and talent density. The organization is seeking a Reinforcement Learning (RL) Engineer to take end-to-end ownership of an RL-driven trading agent. This individual will manage real capital to increase trading volume and user participation within a high-velocity memecoin ecosystem. This is a high-stakes role designed for a "single-owner" expert who can bridge the gap between sophisticated modeling and live financial production. The successful candidate will transition existing heuristic-based systems toward learning-based approaches while enforcing rigorous risk parameters in a 24/7 global market. Key Responsibilities • Autonomous Agent Development: Own the design, shipment, and iteration of an RL-driven trading agent that utilizes real capital to drive ecosystem engagement., • Objective Function Design: Design reward functions and policies that align strictly with product goals while implementing and enforcing absolute downside risk constraints., • Validation Frameworks: Build robust evaluation and validation frameworks, including simulation and offline analysis, to minimize reliance on live sequential testing., • System Transition: Manage the safe transition of existing heuristic-based production systems toward advanced learning-based approaches., • Technical Leadership: Serve as the sole RL expert within a small, high-caliber team, maintaining responsibility for the entire lifecycle—from data modeling and deployment to monitoring and safety safeguards. Interview Process • Recruiter / HR Call: Initial screening to discuss professional background, risk management philosophy, and cultural alignment., • Technical Interview: A deep-dive assessment into RL architecture, simulation frameworks, and live production experience., • Production Experience: Proven track record of deploying autonomous learning systems into production environments that directly controlled capital, pricing, traffic, or resources. Candidates must be able to demonstrate a deep understanding of system failures and subsequent remediation., • Risk Management: Hands-on experience designing and enforcing hard risk limits, such as capital caps, loss bounds, and circuit breakers, within a live financial or resource-based system., • Evaluation Loop Mastery: Experience building policy evaluation loops from scratch, including simulators, replay, counterfactuals, and shadow deployments, prior to live rollout., • Empirical Judgment: Ability to make and defend pragmatic technical tradeoffs (e.g., opting for heuristics over RL or bandits over deep RL) based on empirical results rather than theoretical preference., • Operational Independence: Demonstrated experience as the primary owner of a complex ML system within a lean environment, operating without the support of dedicated research organizations or external ML platforms., • High-Stakes Autonomy: Unmatched ownership over an RL agent managing real-world capital and massive user traffic., • Scale Exposure: Direct involvement with systems operating at the absolute edge of crypto and financial technology scale., • Elite Talent Density: Opportunity to collaborate with a mission-driven group of engineers who value first-principles thinking., • Immediate Impact: The ability to ship fast and see real-world results and market reactions instantly., • Compensation: A competitive package including Base Salary plus Equity/Tokens. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Position Description A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Quantum Information Theory and Network Security. This role is critical in building a secure data path for our quantum networking products. You will responsible for using theoretical quantum principles and photonic hardware to create deployment-ready software for Quantum Key Distribution (QKD), Quantum Zero-knowledge Proof (QZEK-P), Quantum Physical Unclonnable Functions (QPUF), and secure entanglement distribution. Responsibilities • Design and implement high-performance C++ software for real-time quantum cryptographic protocols, including entanglement-based polarization and time-energy QKD., • Develop efficient algorithms for classical post-processing in quantum-secured systems, specifically focusing on Error Correction (Information Reconciliation), Privacy Amplification to maximize secure key rates, and quantum authentication/confirmation., • Architect the Hardware Abstraction Layer (HAL) for distributed quantum networking nodes (Alice/Bob), interfacing with single-photon detectors, polarization controllers, and time-tagging electronics., • Optimize the full cryptographic stack for latency and throughput, ensuring seamless integration between quantum key generation, quantum authentication/confirmation, and the key management entity.., • Collaborate with optical physicists and FPGA engineers to deliver new features and provide updates as existing hardware is upgraded over time., • Develop simulation tools to model channel loss, noise sources, and the statistical performance of quantum protocols. Required Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Physics, or Mathematics is required., • 6+ years of experience in software engineering with a focus on systems, security, or embedded devices., • Strong proficiency in C++ and Python., • Deep domain knowledge of Quantum Key Distribution (QKD) protocols (e.g., BB84, E91, BBM92) and their implementation requirements., • Experience implementing Error Correction codes (e.g., LDPC, Cascade, Winnow) or Forward Error Correction (FEC) specifically for noisy communication channels., • Understanding of Quantum Information concepts, including entanglement distribution, Bell state measurement, and qubit polarization encoding., • Familiarity with high-speed data acquisition and processing protocols (e.g., PCIe, DMA, UDP/TCP)., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang). Preferred Qualifications • Knowledge of classical cryptography standards (AES, RSA, ECC) and PKI infrastructure., • Familiarity with Post-Quantum Cryptography (PQC) algorithms (Lattice-based, Hash-based)., • Experience with network security protocols (IPsec, TLS/SSL) and how QKD integrates into the OSI model., • Background in Information Theory and statistical analysis for security proofs. Preferred Education • Master’s or Ph.D. in Quantum Information Science, Physics, or Cryptography is highly preferred. Skills C++, Python, Quantum Key Distribution (QKD), Error Correction, Cryptography, Network Security, Entanglement, Polarization, High Performance Computing, Linux, Algorithms. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job Description Electrical Power Studies Engineer - New York, NY / remote also available Our client is a Engineering Design Company that is a leader in the data center space. They provide design, consulting and management expertise in Data Center / Mission Critical Facilities Space with the mindset to provide reliability, energy efficiency, sustainable design when providing these consulting services for Enterprise, Colocation, and Hyperscale Data Center Projects. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. This challenging and unique role will have the opportunity to partner with all levels of engineering and design staff to develop power studies for projects once design has been completed. Design projects are primarily focused around critical power systems for new data centers and expansions to existing data centers in the hyperscale / colocation markets. They will have experience and in-depth knowledge of Electrical Power Distribution System design and installation. This person will work as part of the Engineering Team and interact closely with organizational leadership to complete Power Systems Studies. Working and communicating with internal team and clients effectively while following company's guidelines with company's goals, objectives and values in mind. Responsibilities: • Autonomous in day-to-day work with being given high level instruction on projects or assignments, • Execute and lead design teams and designs of complex scope, and coordinate activities of other personnel as needed, • Mentor engineers and assist with training and development to create a learning and growing environment, • Lead Power Systems Studies focused in the mission critical data center industry, • Independently perform Power System Studies for mission critical data center projects, • Evaluate Equipment: Assess equipment capabilities, ratings, and conditions (transformers, circuit breakers, capacitors, etc.); Determine if Equipment meets system requirements, • Lead efforts: proposal development, training / mentoring, and development of standards / automations to improve deliverables, • Conduct Power Systems Studies and produce reports along with final deliverables including breaker settings tables, TCC's, and arc flash labels, • Load Flow Studies: Analyze current and future system load to ensure power delivery without overloading components, • Short Circuit Analysis: Evaluate potential fault conditions to determine the system's response and ensure that equipment ratings are not exceeded, • Protection Coordination: Study the settings of protective devices such as relays, circuit breakers, and fuses to ensure they coordinate correctly and provide optimal protection, • Arc Flash Analysis: Conduct studies to determine potential arc flash hazards, calculate incident energy, and recommend safety practices and protective equipment, • Transient Stability Analysis: Evaluate the power system's ability to maintain synchronism after large disturbances, such as faults or sudden changes in load, motor starting, etc., • Develop proposals including project scope, schedule and budget, • Effective time management of project design team including forecasting resources and resource coordination, • Identify potential project scope changes; aid in development of strategies to minimize impact and changes from estimated costs and project deadlines, • QA/QC peer reviews for projects which candidate is not the engineer, • 5-10+ year's Electrical Engineering experience, • Bachelor's Degree in Electrical Engineering or similar engineering degree, • Licensed PE / EIT a Plus, • Possess advanced knowledge of electrical topologies associated with mission critical facilities, • Experience designing electrical power systems for complex data center/mission critical facilities, • Experience with Protective Devices: relays, circuit breakers, and fuses with knowledge of how they function, what versions and device settings, • Understand ratings, capabilities, and conditions of various power system equipment, • SME of industry and safety standards related to power systems, with emphasis related to arc flash hazards and other safety-related matters, • Understand effects and requirements of connecting new generation or loads to existing systems, • Power system simulation software with one of the following: ETAP, PSS/E, SKM, Easy Power, • MS Office Suite (Excel, Word, Outlook, PowerPoint, Teams), • Skilled at reviewing design drawings and equipment submittals, • Perform code analysis including selection of equipment, wiring, etc. to meet code requirements, • Conduct code analysis and possess advanced knowledge of electrical codes, • Analyze and prepare documents, reports and correspondence, • Client facing experience and at times serve as primary point of client contact on various projects, • Ability to successfully work independently; Self Starter and should prioritize well, • Effective communicator - both oral and written form (tech and non-tech), • Proactive, resourceful, and a multitasker, • Exceptional organizational skills with an attention to detail, • Skilled in completing assignments accurately and in a timely manner, • Previous experience in the Military / Military Veterans a huge plus! After applying, if you have further questions, you may call 973-895-5200 and ask for Iggy. You can also submit via our career portal and take a look at other Critical Facility openings we are working on at, If this job is not for you, feel free to forward this along. WE PAY FOR REFERRALS!! Company offers competitive salaries and benefits package including medical insurance, a 401(k) plan EOE/AA Employer M/F/D/V Pkaza LLC is a third-party employment firm. All fees assessed by Pkaza LLC will be paid by our employer that we represent and not by the candidate

Job Description Position Description: A client of AlphaStaffHCM is seeking a new FPGA Design Engineer to join our Hardware team. You will work directly with a diverse team of experts including quantum scientists, optical, nanofabrication, hardware, FPGA, and embedded engineers. Together, you’ll develop prototypes and photonic-based products across multiple application areas including quantum computing, quantum intelligence, quantum remote sensing, quantum bio-imaging, and quantum cybersecurity. This is a unique opportunity to participate in the architecture design of multiple new FPGA projects in the pipeline, and to work closely with some of the brightest scientists and engineers in lithium niobate, photonic-based quantum technologies. If you enjoy the excitement of solving complex problems, creating realistic application quantum benefits, and working in a fast-paced, innovative environment, this could be the perfect role for you! Duties and Responsibilities: Develop,Design and implement real-time computational and digital algorithms and systems using FPGAs. Develop RTL code for use within multiple projects. Analyze and enhance efficiency, scalability, and stability of the system resources . Integrate multiple FPGAs and off-the-shelf hardware devices into our next generation quantum device architecture. Collaborate with cross-disciplinary teams to design and customize quantum systems with customers requirements/feedbacks Design, implement, simulate, and test the operation of the FPGA logic and systems Document architectures, test results in addition to source code Required Skills and Experience: 3-5 years of industrial experience in FPGA design Practical experience using HLS in FPGA design would be a HUGE plus. Expertise in Verilog/System Verilog Proficiency in RTL simulation (ModelSim,xSim etc.), and building testbenches to verify your design. Experience with Altera(Intel) or Xilinx(AMD) FPGAs and associated development tools Experience working with lab equipment such as oscilloscopes and logic analyzers. Experience/familarity in/with digital hardware circuit design is preferred. Excellent communication skills (written and verbal) Collaborative teammate who is supportive of co-workers and contributes to problem solving Ability to work well in a fast-paced professional office environment and manage simultaneous tasks and deliverables Bachelor of Science in Electrical Engineering or Computer Engineering Required Masters of Science in Electrical Engineering or Computer Engineering Preferred Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job Description:\n\nAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.The Opportunity At Phaidra, security is the bedrock of trust for our customers operating the world's most critical infrastructure. We are looking for a Senior Product Security Engineer to partner directly with our Agentic AI department. This team is at the forefront of our mission, building autonomous agents responsible for optimizing the operational fabric of AI factories. These agents don't just chat; they act. They make real-time decisions to optimize power usage, cooling efficiency, and hardware health, creating a more stable and efficient environment for massive-scale compute. This is a high-stakes environment where the integrity and security of AI-driven decisions are paramount. You will tackle the unique security challenges of deploying autonomous agents that interact directly with physical control systems. Security failures here don't just mean data leaks; they could mean operational downtime or physical degradation of critical hardware. We need a security expert who thrives working hand-in-hand with AI researchers and engineers. Your role is to embed security into the DNA of our Agentic platform, ensuring that as our agents learn and explore, they do so within unbreakable safety boundaries. We are seeking a team member located in the following areas: UK or US (central and eastern time preferred)ResponsibilitiesChampion Secure Agentic AI Development: Drive the adoption of Phaidra's Secure AI/ML Development Lifecycle (SAIDL) within the Agentic AI team. Adapt security practices to fit the iterative and experimental nature of Reinforcement Learning and agent development.Agentic Threat Modeling: Partner with researchers to model threats specific to autonomous agents. Beyond standard AI risks, you will analyze risks unique to agents, such as goal misalignment, reward hacking, infinite looping, and insecure tool execution (e.g., an agent executing a command that exceeds safety limits).Secure Agent Architecture & Safety Boundaries: Design secure-by-default architectures for autonomous agents. Crucially, this involves defining deterministic safety guardrails that sit between the probabilistic AI model and the physical hardware controls. Ensure "Zero Trust" applies to the agent—it should only have the minimum permissions needed to adjust specific parameters.Secure Agent Tools & Memory: Architect security controls for the "tools" the agent uses (APIs to read sensors or change settings) and the agent's long-term memory. Ensure the agent cannot be manipulated into using a tool to perform unauthorized actions or "poisoned" via its memory context.MLSecOps for RL Pipelines: Secure the training and simulation pipelines used for Reinforcement Learning. Ensure the integrity of the simulation environments (Digital Twins) used to train agents, preventing attackers from influencing agent behavior during the training phase.Adversarial Testing & Red Teaming: Lead AI Red Teaming exercises focused on behavioral manipulation. Can you trick the agent into making a suboptimal decision? Can you manipulate the observations the agent receives?Incident Preparedness: Develop incident response playbooks tailored for autonomous systems, focusing on "Kill Switches" and rapid rollback capabilities in the event of rogue agent behavior.Cross-Functional Partnership: Build strong relationships with the Agentic AI researchers, SREs, and Data Scientists. Act as an enabler who helps them deploy powerful agents safely, rather than a blocker.Key QualificationsAgentic AI & RL Security: Proven understanding of the security risks associated with Reinforcement Learning, Autonomous Agents, or automated decision-making systems.AI Partnership: Demonstrated experience working embedded with AI system developers and researchers. You understand the difference between "probabilistic" (AI) and "deterministic" (Code) and how to secure the bridge between them.Core Experience: 5+ years of work experience in product security, application security, or a closely related security engineering role.Safety Engineering Mindset: You understand that in physical systems, "Availability" and "Safety" often outrank "Confidentiality." You are familiar with concepts like fail-safes and human-in-the-loop controls.Technical Depth:Strong programming experience, ideally with Python (essential for ML/AI ecosystems) or Go.Familiarity with agent frameworks (e.g., LangChain, AutoGPT) or RL libraries (e.g., Ray RLLib).Proven experience securing Cloud infrastructure (GCP) and Kubernetes.Deep understanding of Authentication & Authorization (specifically non-human identities/workload identity).Advanced MLOps: Direct, hands-on experience securing MLOps tooling (e.g., Kubeflow, MLflow) and deep understanding of securing complex data and model-training pipelines.Preferred Skills & ExperienceIndustrial / OT Context: Experience working with systems that interface with the physical world (IoT, Robotics, ICS/OT). Understanding of the "IT/OT convergence."Formal Verification for AI: Experience using mathematical methods to prove that an AI model or agent will not violate specific safety constraints.Sim-to-Real Security: Experience securing simulation environments (Digital Twins) and managing the security risks of transferring policies from simulation to the real world.Protocol Fuzzing: Ability to test industrial protocols (e.g., Modbus, BACnet) for robustness against automated or adversarial inputs.AI Governance: Familiarity with emerging standards like the NIST AI RMF or ISO 42001.Critical Systems: Experience securing "closed loops" or control systems where latency and reliability are critical.Certifications: Relevant advanced certifications, such as GICSP (Global Industrial Cyber Security Professional), ISA/IEC 62443 Cybersecurity Expert, NVIDIA Agentic AI, OSEP (Offensive Security Experienced Penetration Tester), CISSP, or OSCP.Our StackAI/ML: PyTorch, TensorFlow, Ray (RL), LangChain, Gemini/OpenAI/Anthropic models.Languages: Python, Go.Infrastructure: Docker, Kubernetes, Terraform.Cloud: GCP (GKE, PubSub, BigTable)Onboarding In your first 30 days — (Foundation and AI Landscape Familiarization)Understand the Mission: Deep dive into "Building AI for AI Factories." Understand the specific physical parameters (power, cooling, airflow) our agents are optimizing.Build Trust: Sit with the Agentic AI researchers to understand their workflow. How do they train agents? How do they simulate environments?Initial Review: Conduct a high-level review of the current "Safety Layer" that sits between the Agent and the control systems. In your first 60 days — (Threat Modeling & Guardrails):Agent Threat Model: Lead a detailed threat modeling session for a specific Agentic workflow. Focus on the Interface between the Agent and the Physical Hardware.Guardrail Implementation: Propose and begin implementing technical controls (guardrails) that enforce deterministic safety rules, ensuring the AI cannot exceed operational limits regardless of its intent.Secure the Tools: Review the security of the internal APIs (Tools) that the agents use to sense and act on the environment. In your first 90 days — (Strategy & Automation):Reference Architecture: Publish a "Secure Agent Reference Architecture" for future agent development.Driving Initiatives: Drive the implementation of the secure reference architectures and remediation of key findings from the threat modeling exercises.Demonstrable Impact: Showcase measurable improvements in the security of the AI/ML pipeline (e.g., implementation of runtime monitoring for anomalous model behavior, reduction of AI-specific vulnerabilities).Strategic Contributions: Establish yourself as the key security partner and expert for the Agentic AI Department.General Interview Process All of our interviews are held via Google Meet, and an active camera connection is required.Meeting with People Operations team member (30 minutes)Meeting with Hiring Manager (30 minutes)Technical Interview with our Senior Product Security Engineer (60 minutes)Meeting with Agentic AI team member (45 minutes)Culture fit interview with Phaidra's co-founders (30 minutes)Base Salary US Residents:Tier 1 (Largest highest-cost metros): 146,200 USD - 199,600 USDTier 2 (Other major metros): 138,640 USD - 189,370 USDTier 3 (Mid-sized metro areas): 131,080 USD - 179,140 USDTier 4 (All other locations): 123,520 USD - 168,910 USD UK Residents:Tier 1 (London): 95,200 GBP - 142,000 GBPTier 2 (Manchester, Birmingham, Edinburgh, Bristol): 89,600 GBP - 134,400 GBPTier 3 (Other areas): 84,000 GPB - 126,000 GBP In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & PerksFast-paced, team-oriented environment where your work directly shapes the company's direction.We are a 100% remote company. Competitive compensation & meaningful equity.Outsized responsibilities & professional development.Training is foundational; functional, customer immersion, and development training.Medical, dental, and vision insurance (exact benefits vary by region).Unlimited paid time off, with a required minimum of 20 days per year.Paid parental leave (exact benefits vary by region).Flexible stipends to support your workspace, well-being, and continued professional development.Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns.On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking a Power Electronics Engineer to design and develop the HTS magnet power supply systems for the company’s Eos integrated stellarator. This role focuses on building a high-current AC-DC converter for HTS magnets, requiring precision current regulation, high reliability, and scalable architecture. This role will be responsible for power stage design, topology selection, control algorithm interface, and protection systems, as well as thermal and mechanical integration. This is a high-impact engineering role with hands-on prototyping, testbed validation, and cross-functional collaboration with embedded systems and instrumentation teams. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. This role will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Lead the topology selection, component specification, and schematic design of the HTS Magnet PSU., • Design modular power converters with potential for arrayed operation and independent control., • Analyze and simulate power converter behavior (steady-state, dynamic, fault response) using PLECS, LTspice, or Simulink., • Integrate with embedded control hardware and firmware, ensuring proper current regulation, fast feedback, and fault handling., • Define and implement magnet protection mechanisms, including overcurrent shutdown, fast discharge, and crowbar circuits if needed., • Design thermal management systems, including heat sink layout, forced air/water cooling, and temperature monitoring for continuous operation., • Design PCB layout and support mechanical integration, cabling, and in-house assembly., • Develop test plans and perform hardware bring-up, debugging, and parameter optimization under staged load conditions.Ideal Experience & Skillsets:, • Bachelor’s or Master’s degree in Electrical Engineering, Power Electronics, or a related field., • 5+ years of hands-on experience designing and testing power converters, preferably in high-current or magnet power supply applications., • Proficiency in power stage design for DC/DC converters, buck/boost, full-bridge, or current-regulated linear stages., • Strong simulation and modeling skills using tools such as PLECS, LTspice, PSIM, Simulink, or Simplorer., • Experience with IGBTs, MOSFETs, SiC/GaN devices, and high-current busbar and interconnect layout., • Familiarity with current sensors, signal conditioning, and analog control circuits., • Experience with magnet power supplies, fusion, accelerator, or industrial high-current systems., • Knowledge of quench detection, crowbar protection, and superconducting magnet interface requirements., • Experience with thermal design and integration of cooling solutions in power electronics., • Exposure to EMI/EMC mitigation strategies and compliance testing., • Familiarity with FPGA- or DSP-based digital control systems., • Simulation: PLECS, LTspice, PSIM, Simulink., • CAD: Altium Designer, OrCAD., • Measurement: Oscilloscopes, Power Analyzers, Electronic Loads., • Communication: CAN, RS-485, Modbus., • Thermal: Flotherm, SolidWorks for mechanical integration.Company Benefits:, • Salary range $95,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call.

Job Description Summary We are seeking a Mechanical Design Engineer to join our New York office and contribute to cutting-edge, sustainable design projects. As a leading MEP design firm in the architectural engineering consulting space, we’re looking for a collaborative and communicative professional who thrives in a team-oriented environment and is eager to develop innovative, high-performance building solutions. This role is ideal for engineers passionate about architecture, sustainability, and iconic building design. Key Responsibilities * Complete assigned tasks accurately and efficiently with minimal supervision * Prepare detailed project documentation and deliverables * Interpret and analyze plans, specifications, and design criteria * Collaborate closely with internal teams, clients, and consultants * Apply building codes, industry standards, and best practices in design * Estimate probable construction costs for mechanical systems * Conduct site visits and generate field reports * Design and document HVAC and plumbing systems using AutoCAD and Revit * Perform mechanical engineering calculations and assist with equipment selection * Edit and write project specifications as part of the documentation process * Use simulation tools to analyze building performance and optimize system designs * Support implementation of the project quality management plan (QMP) Key Skills & Competencies * Strong understanding of mechanical systems and MEP design fundamentals * Excellent problem-solving, communication, and organizational skills * Detail-oriented with a focus on accuracy and quality * Proficiency in Microsoft Office, AutoCAD, and Revit * Familiarity with mechanical engineering software for calculations and performance analysis Qualifications * Bachelor’s degree in Mechanical or Architectural Engineering * Minimum of 3+ years of relevant industry experience * Engineer in Training (EIT) certification * LEED Accreditation (preferred)

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What you'll be working on * Generate qualified pipeline through cold outbound and manage inbound interest * Drive top-of-funnel growth through targeted multi-channel outreach (phone, LinkedIn, email) * Advance opportunities through strategic discovery and qualification * Continuously expand and refine outbound strategy through prospecting and list curation by researching, testing, and prioritizing accounts * Partner with AEs to seamlessly advance qualified leads through the sales cycle * Act as Clarion's first voice to the market by representing our mission with credibility and empathy Requirements * 1+ years of experience in sales development, with a proven ability to drive cold outreach, run outbound campaigns, and consistently generate pipeline * Exceptional communicator with strong verbal and written skills, able to craft compelling messaging and confidently engage executives from day one * Gritty and self-motivated, with a bias toward action, persistence under pressure, and comfort navigating ambiguity in a fast-paced environment * Detail-oriented and metrics-driven, constantly focused on execution * Healthcare interest or experience: You're curious about healthcare workflows and challenges; experience selling into healthcare orgs is a strong plus * Sales tools fluency: Proficient with CRMs, outreach platforms, Sales Navigator, and other sales enablement tools * Excited to work from our NYC office 5 days a week You are a good fit if * You're naturally curious and creative, always asking sharp questions and thinking critically about how AI can improve healthcare operations * You're relentless, pushing through roadblocks with resilience and a solutions-first mindset * You're meticulous and organized, managing your pipeline with precision and never letting details slip * You're a systems thinker, constantly analyzing and improving what works to drive scalable results * You bring focused energy and genuine enthusiasm, showing up motivated by the mission every single day What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (20 min) [Virtual]: Quick conversation about your sales experience and passion for healthcare transformation. * Outreach Simulation (30 min) [Virtual]: Live role-play where you'll pitch Clarion to a "healthcare executive" and handle objections. * Take-home Exercise: Create a targeted outreach sequence for a specific healthcare segment demonstrating your research and messaging skills. * Team Day (3 hours) [In-Person]: Visit our New York office to shadow live sales calls, meet the team, and present your outreach strategy. If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $80K - $120K

Job Description Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it! About the Role As a Product Enablement Data Engineer at Cato Networks, you will design, generate, and manage realistic data feeds that power our cloud-managed networking and security platform. This role focuses on creating synthetic yet highly realistic traffic, attack simulations, and telemetry pipelines that replicate real-world customer environments. Your work will enable compelling demos, proof-of-value engagements, and hands-on lab experiences that showcase the full capabilities of the Cato platform. You will collaborate closely with lab engineers, content developers, product management, engineering, and sales engineering teams to deliver scalable and reliable data-driven enablement solutions. Responsibilities * Design and build realistic SaaS traffic simulations and network behavior scenarios * Develop repeatable traffic generation frameworks for demos, labs, and validation environments * Simulate network conditions such as latency, packet loss, jitter, and bandwidth constraints * Create and execute attack simulations aligned with frameworks such as MITRE ATT&CK * Model intrusion techniques including lateral movement, command-and-control traffic, and data exfiltration * Build modular, programmatic attack simulation libraries * Integrate with SaaS platforms via APIs to provision tenants, configure policies, and retrieve telemetry * Deploy and manage cloud-based infrastructure (AWS/Azure) for traffic generation and simulations * Configure VPN connectivity and ensure secure communication between lab and SaaS environments * Build dashboards and monitoring systems to validate telemetry, detection accuracy, and data health * Implement alerting and perform root-cause analysis for data or pipeline failures Requirements * 10+ years of experience in networking or security engineering * 5+ years of experience in data, network, or security engineering * Strong programming skills in Python * Experience working with REST APIs and authentication workflows * Experience building or supporting penetration testing or security simulation workflows * Hands-on experience with Azure (AWS is a plus) * Experience with Infrastructure-as-Code tools such as Terraform * Experience generating network traffic using tools like Scapy, tcpreplay, or iperf * Strong knowledge of Linux environments and networking tools (tcpdump, curl, netstat, etc.) * PowerShell scripting experience for Windows automation and system provisioning * Strong understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, TLS) * Experience configuring VPN clients and secure connectivity * Familiarity with MITRE ATT&CK or similar security frameworks Preferred Qualifications * Networking or security certifications (e.g., CCNA) * Experience building demo or enablement environments * Experience with GraphQL APIs * Familiarity with traffic shaping tools (tc, netem) * Experience with monitoring and observability platforms (Grafana, ELK, Prometheus) * Experience simulating adversary behaviors in controlled environments * Background in cybersecurity, SASE, or networking platforms Why This Role Matters This role ensures that Cato's platform is demonstrated and validated using realistic, high-fidelity data that mirrors real customer environments. Your work will directly influence how effectively customers understand the platform's capabilities, as well as the accuracy of product detection, analytics, and overall performance in real-world scenarios. By building the data foundation behind demos, labs, and proof-of-value engagements, you will play a critical role in showcasing the technical value of Cato's platform. Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. #LI-GG1

Job Description Position Description A client of AlphaStaffHCM is seeking an experienced Senior/Principal Engineer to lead the design, integration, and development of photonic integrated circuits with integrated laser sources. The ideal candidate will have deep expertise in semiconductor laser physics, photonic device design, process integration, and system-level modeling. This role requires a hands-on leader capable of driving projects from concept through fabrication, testing, and qualification, with a strong focus on innovation and performance optimization for next-generation photonic systems. Duties and Responsibilities • Lead the design and modeling of integrated photonic circuits incorporating lasers, modulators, amplifiers, and passive components., • Develop and optimize epitaxial structures for laser integration on photonic platforms (e.g., Thin-film lithium niobate, Si photonics)., • Perform optical and electrical modeling using tools such as Lumerical, COMSOL, FDTD, and Matlab/Python codes., • Drive process integration efforts including mask design, fabrication flow development, and collaboration with foundry partners., • Conduct device characterization, performance analysis, and reliability testing to meet product specifications., • Provide technical leadership in cross-functional teams including epitaxy, process engineering, testing, and reliability., • Support product qualification efforts including wafer acceptance testing, reliability modeling, and failure analysis., • Ph.D. in Optics, Photonics, Electrical Engineering, or a related field., • 10+ years of industrial experience in semiconductor laser design, fabrication, and testing., • Strong background in photonic device modeling (FDTD, FDFD, PWEM, TMM, FEM)., • Proficiency with photonic design and simulation tools (Lumerical, COMSOL, Sentaurus, etc.)., • Experience with III-V semiconductor processes including lithography, etching, deposition, and characterization., • Demonstrated ability to lead technical projects and mentor junior engineers., • Experience with photonic crystal lasers (PCSEL), VCSELs, DFB, EML, or SOA devices., • Knowledge of integrated photonic platforms (Si photonics, InP, heterogeneous integration)., • Proficiency in programming for data analysis and automation (Python, Matlab, SQL, VBA)., • Experience with reliability testing, wear-out modeling, and qualification for high-volume production., • Familiarity with mask design tools (KLayout, L-Edit) and process integration for photonics., • Track record of innovation through patents, publications, or product development., • Experience working in a cross-cultural, multi-site R&D environment. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations. We're backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As an Agent Engineer II at Amigo, you'll independently design and implement production AI agents for healthcare customers. You'll architect context graphs that model complex clinical workflows, design agent personalities that maintain clinical safety, and build evaluation frameworks that catch problems before patients encounter them. This role requires you to make design tradeoffs -- balancing conversation quality, clinical safety, and system reliability -- with minimal oversight. What you'll do * Design context graphs (hierarchical state machines) that model multi-step clinical workflows -- choosing between linear arcs and routing hubs, calibrating state density, and preventing conversation loops * Architect agent identities: background, motivations, expertise, behaviors, and communication patterns that produce clinically safe and engaging conversations * Build dynamic behavior sets that inject contextual instructions at runtime -- designing trigger conditions, choosing override modes, and testing activation patterns * Design user memory systems by defining extraction dimensions that are bounded, orthogonal, and actionable -- preventing the dimension overlap and storage explosion that collapse memory systems * Write tool integration specs that define when tools fire, what parameters they receive, and how results persist in conversation context * Diagnose production conversation failures by reading prompt logs, tracing routing decisions, and identifying root causes across the agent-graph-behavior stack * Design evaluation suites: metrics that resist gaming (Goodhart's Law), personas that represent real patient populations, and scenarios that test edge cases * Run coverage-optimized simulations using frontier and heatmap algorithms to systematically test all reachable states and transitions * Process complex customer feedback -- categorizing issues into agent design problems, context graph flow issues, platform bugs, and knowledge gaps What we're looking for * 2-4 years of production software engineering experience * Strong Python skills including Pydantic models, async patterns, and building reliable systems that interact with external APIs * Experience with LLMs, prompt engineering, or building on AI platforms * Ability to design systems by reasoning about competing constraints -- you understand that boundary constraints matter more than action guidelines, and that quality trumps speed * Experience working directly with customers or domain experts to translate requirements into technical implementations * Debugging skills across multiple system layers -- you can trace a problem from user-visible symptom to root cause across logs, prompts, and configuration * Understanding of testing methodologies -- you think about what to measure, not just whether tests pass * Clear technical communication for both engineering and clinical audiences Nice to have * Experience in regulated industries (healthcare, finance, legal) * Background with state machine design, finite automata, or conversation flow modeling * Experience with simulation frameworks or synthetic data generation * Understanding of distributed systems and observability (Datadog, structured logging) * Familiarity with compliance requirements (HIPAA, SOC 2) * Experience with voice/TTS systems and audio-specific constraints Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $160K - $190K

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.

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