At Leidos, you'll contribute to AI solutions that serve critical national and global missions—ranging from defense and intelligence to healthcare, energy, and space exploration. Our work emphasizes Trusted Mission AI: systems that are transparent, ethical, resilient, and accountable. You’ll collaborate with multidisciplinary teams to transition AI research into operational environments where accuracy, security, and reliability are non-negotiable. Joining Leidos means applying your expertise to solve some of the most complex and meaningful challenges of our time. We are looking for a motivated AI engineer who wants to work on challenging problems in a variety of domains – including enterprise IT, health, defense, intelligence, and energy – to get results that apply and go beyond the state of the art for measurably better outcomes. We apply our knowledge, capabilities, and experience to develop and deploy Trusted Mission AI – AI that deserves to be trusted by system owners, end users, and the public – to be helpful, harmless, and honest. We are looking for a researcher that is expert in envisioning, developing, and securing AI agents using generative AI and LLM-based tools to transform and add value to human workflows. Primary Responsibilities - Collaborate with Agentic AI Scientists to build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover entirely new capabilities. - Support multiple programs with both R&D and customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract. - Create software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems. - Utilize a combination of open-source models, agentic tools, and large proprietary commercial models. - Develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact. - Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles. Multiple openings at various levels with minimum education and experience requirements as follows: - Level 2: Bachelor's degree in Computer Science, Engineering or related field and 2+ years of relevant experience, or a Masters degree with relevant experience - Level 3: Bachelor's degree in Computer Science, Engineering or related field and 4+ years of directly applicable experience, or a Masters degree and 2+ years of directly applicable experience Basic Qualifications - Self-starter with a high degree of intellectual curiosity - Proficiency in applying technical principles, theories, and concepts in the field - Experience developing Agentic AI solutions, including autonomous planning–execution–reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management - Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. - Ability to effectively guide junior engineers in applying standard practices and resolving problems of moderate complexity - Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen - Experience using vector databases (e.g., Pinecone, Weaviate, FAISS) - Proficiency in modern software languages—preferably, Python - Experience with the Software Development Lifecycle (SDLC), including DevSecOps practices - Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) - US citizenship is required and able to obtain a Secret clearance Preferred Qualifications - Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems - Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments - Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems - Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI - Proficiency in scripting with Linux Bash, PowerShell, or equivalent automation tools - Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: February 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $69,550.00 - $125,725.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Build a Safer World. TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. The AI & Automation team at TRM is responsible for designing and building AI-powered applications and agentic solutions that help our internal teams operate at scale. We partner directly with business leaders across the company to identify high-impact opportunities, then design, build, and own end-to-end solutions that meaningfully move key business metrics. We are looking for a Senior AI Engineer (AI Automation) who is excited to work hands-on with modern AI technologies, build custom internal tools, and operate with a high degree of ownership. This role is ideal for engineers who want to stay deeply technical while also shaping what gets built, not just how it’s built. As a member of the AI & Automation team, you will embed closely with business teams (e.g., Intelligence, R&D, Operations, Talent, Finance, Legal, R&D), identify their most critical challenges, and design AI-enabled solutions that drive measurable outcomes. You’ll own these systems end-to-end—from ideation and architecture through delivery, iteration, and long-term maintenance. The impact you’ll have here: - Design, build, and own full-stack, AI-powered internal applications, including backend services, APIs, data storage, and user-facing interfaces. - Develop custom agentic solutions that leverage state-of-the-art AI models (e.g., OpenAI, Anthropic, Gemini) to automate workflows, augment decision-making, and scale business processes. - Embed within internal teams to deeply understand their goals, constraints, and key metrics, then translate those needs into technical solutions with clear success criteria. - Own projects end-to-end, including technical design, architecture decisions, scoping, delivery, iteration, and ongoing support. - Collaborate with non-technical stakeholders to expand their understanding of what’s possible with AI and help shape more ambitious solutions. - Build reliable, scalable systems that are used across the organization and touch critical parts of TRM’s operations. - Continuously evaluate impact, iterating on solutions quarter-over-quarter based on measurable business outcomes. - Contribute to a fast-moving, high-ownership engineering culture that values quality, velocity, and real-world impact. What we’re looking for: - 6+ years full-stack software engineering experience building scalable web applications, services, and APIs - Proficiency in JavaScript/TypeScript and/or Python, and comfort working across the stack including frontend development (React or similar frameworks) - Experience building backend systems, working with various datastores such as (Postgres/pgvector, Pinecone, Redis) and designing APIs. - Demonstrated curiosity and hands-on experience with AI tools and applications - using modern AI models, agentic IDEs, or building AI-enabled workflows or prototypes. - Experience building or experimenting with custom developed agentic systems, workflow orchestration tools (n8n), or Agentic browser automation - A high degree of ownership and initiative, with the ability to operate independently in ambiguous problem spaces - Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences - Experience collaborating cross-functionally and building trust with stakeholders at all levels of the organization Bonus:** - Direct experience integrating automated AI Evaluation/Testing/Observability suites to continuously test model effectiveness leveraging platforms such as DeepEval, Langfuse/LangSmith or similar About the Team: - The team operates on a weekly sprint schedule. Individuals on the team are tasked to lead projects as technical anchors, and given a chance to grow and take ownership according to their level and goals. We work closely with our internal stakeholders to deliver impactful features to our internal customers and the company. - The team’s culture is built on psychological safety wherein team members build rapport and trust-based relationships with teammates, hold each other accountable and to a high bar, collaborate extensively, and have lots of fun along the way. - The team’s timezone is a mix of EST and PST with at least 6 hours of overlap with PST (8 am to 2 pm PST) - On-Call: We have an on-call rotation that is specific to internal tools. In this role, the internal tools engineer is responsible for triaging customer support requests from specific Slack channels pertaining to internal tools. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting financial crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Privacy Policy and Additional Information By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Learn More: Company Values | Interviewing | FAQs

• Design and implement AI applications leveraging Azure services (AKS, Azure Container Apps, Blob Storage). • Develop systems using C#, Python, React, and modern frameworks like Entity Framework Core and FastAPI. • Create applications that are resilient, secure, and optimized for high performance. • Work closely with cross-functional teams, including data scientists and engineers. • Lead the deployment and optimization of applications in Azure environments. • Explore new tools, frameworks, and methodologies in AI and software engineering.

The Opportunity If you've worked alongside hardware teams, you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap. We're building the first AI-powered platform purpose-built for hardware product development, one that listens across the tools teams already use, maintains a structured picture of every program, and proactively coordinates across disciplines when things inevitably change. This is a ground-floor opportunity for a hands-on frontend engineer to shape the user experience of a high-potential product with the support of a parent company leading innovation in engineering and manufacturing. Who We're Looking For We're seeking a frontend engineer who cares deeply about building interfaces that are fast, intuitive, and delightful. The ideal candidate has shipped production React applications and has strong opinions on component architecture and design systems. You should already be using AI coding tools like Cursor, Copilot, or Claude to accelerate your work, with excitement about building the product that finally replaces the spreadsheets and status meetings that hardware teams have been stuck with for decades. This senior engineer will work alongside our engineering team and head of product to build the interfaces through which users manage structured engineering artifacts (requirements, project plans, dependencies), interact with ambient AI agents, and get real-time transparency into project health across disciplines. The role is hands-on - you will be coding daily while contributing to frontend architecture decisions and helping grow the design system as we scale. What You'll Do Your day-to-day responsibilities will include: ● Building production-grade React applications with TypeScript ● Developing and maintaining a shared component library ● Building rich interfaces for structured engineering data: requirements with traceability, phase/gate tracking, dependency graphs, task boards with discipline tags, and version-controlled project plans ● Building interfaces for AI agent interactions including streaming chat, proactive coordination alerts, and AI-generated status summaries and deliverables (proposals, SOWs, reports) ● Implementing portfolio-level dashboards for engineering leaders and executives showing cross-project cost, schedule, and risk ● Writing well-tested code with unit and end-to-end tests ● Collaborating with backend engineers on API integration and client SDK usage ● Contributing to frontend architecture decisions, code reviews, and engineering best practices Technical Requirements Must Have: ● 5+ years building production web applications, with 3+ years focused on React ● Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development ● Expert-level expertise with React, TypeScript, and modern JavaScript ● Strong experience with component-driven development, design systems, and tools like Storybook ● Proficiency with CSS frameworks (Tailwind CSS preferred) and responsive design ● Experience with modern build tools (Vite, esbuild, or similar) ● Understanding of API integration patterns (REST, OpenAPI, generated clients) ● Ability to balance rapid iteration with maintainable, well-tested code Highly Valuable: ● Have worked in early-stage 0 to 1 startup environments ● Familiarity with hardware development, engineering workflows, or project management processes ● Experience building UIs for AI/LLM-powered features (streaming responses, chat interfaces, structured AI output) ● Familiarity with headless component libraries (Base UI, Radix, Headless UI) ● Background in data visualization or dashboard-heavy applications ● Understanding of authentication/authorization patterns (OIDC, JWT) ● Experience with end-to-end testing frameworks (Playwright, Cypress) ● Background in B2B SaaS platforms, project management tools, or technical collaboration products What We Offer Real Impact: The opportunity to build purpose-built tooling for an entire industry that has never had it Customer Access: Direct exposure to hundreds of real hardware projects annually through Re:Build's engineering and manufacturing companies Technical Growth: Hands-on work with cutting-edge AI technologies solving novel technical challenges Autonomy: Backed by Re:Build while operating with startup independence Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend Equity & Growth: Participation in Re:Build's LTIP equity program and opportunity for founder equity in potential spin-out Compensation & Location Location: Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices Compensation: Base salary range of $165,000 to $215,000 with performance bonus and long-term incentive plan offered. Potential equity stake under independent spinout scenario. Please note this role is restricted to US citizens or lawful permanent residents only due to exposure to export controlled information About Re:Build Manufacturing Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We harness deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential. Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complementary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're using their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment. We want to work with people that reflect the communities in which we operate Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason. Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.