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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Forward Deployed EngineerInformation Technology * Somerville, MA; Weirton, WV * Full time * Hybrid - **Company:** Form Energy - **Location:** Weirton, WV, United States - **Experience:** Expert - **Salary:** $147,959.0 - $184,966.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Spreadsheets, Continuous Integration, Data Infrastructure, Relational Databases, Discrete Event Simulation, Integer Programming, Python (Programming Language), PostgreSQL, OpenID, Oracle (Applications), Reference Data, Azure Active Directory, Next.js, Scientific Computating, SQLAlchemy, Systems Integration, TypeScript, Web Application Frameworks, Enterprise Data Management, Jama (Software), Enterprise Software Applications, ReactJS, Snowflake, Backend, Git, Fastapi, Data Layers, Kubernetes, Operational Systems, Software Version Control, Docker - **Published:** August 5, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17986743?backUrl=%2Fcareer%2F17986743%2FStaff-Forward-Deployed-Engineerinformation-Technology-Somerville-Ma-Weirton-Wv-Full-Time-Hybrid-West-Virginia-Weirton ## About the Role * 8+ years building and shipping production software, with a track record of owning complex applications end to end. * Strong full-stack engineering skills: a modern web framework (React / Next.js / TypeScript or similar) and a production back-end language and framework (Python / FastAPI strongly preferred), with solid relational data modeling (PostgreSQL, SQLAlchemy or equivalent). * AI as a force multiplier - required, not optional. A demonstrated command of AI-assisted and agentic development to build faster and better, and a track record of embedding AI / ML into applications and workflows to remove toil and create leverage. You should be energized by driving AI adoption in others, not only using it yourself. * Range and self-direction. A history of walking into unfamiliar domains, getting fluent fast, and shipping - comfortable being the sole or primary engineer on a system and owning the outcome, not just the code. * Ability to model a complex real-world domain in software - translating messy, expert-held knowledge into correct, maintainable systems - and the rigor to enforce invariants in the data layer, not only in application code. * Comfort working directly with non-engineering domain experts, embedded in their environment, translating ambiguous problems into shipped software - and the judgment to push back on the wrong thing and find the right one. * Solid engineering fundamentals: version control (Git), automated testing, CI/CD, and containerized deployment (Docker; Kubernetes a plus). * A pragmatic, ownership-minded bias toward shipping value quickly, paired with the taste to know when something needs to be built to last., * Experience as a forward-deployed, solutions, or embedded engineer - working alongside the users of what you build rather than behind a backlog. * Experience building agentic or AI-automation systems for real operational workflows, and a point of view on where AI does and does not belong. * Experience with operations research / optimization or simulation (linear / mixed-integer programming, discrete-event simulation) - a strong plus for the harder modeling problems you'll meet. * Experience with enterprise data platforms (Snowflake, dbt) and the discipline of read-only vs. writable system boundaries. * Experience integrating with ERP (Oracle), PLM (Arena), MES, or requirements-management (Jama) systems. * Experience with enterprise identity / SSO (Microsoft Entra ID, OIDC). * Fluency in a technical domain adjacent to Form Energy's work - hardware, manufacturing, energy, scientific computing, or laboratory/industrial environments. * Experience in a high-growth technology or first-of-a-kind manufacturing environment. ## Description * Turn expert knowledge into durable software - take the spreadsheets, notebooks, and tribal knowledge that a team runs on and turn them into correct, maintainable, owner-attributed systems that the organization can trust and build on. * Build governed, traceable data models: versioned, append-only revision history with role-based access, so the assumptions and records that drive decisions are defensible and reconstructable. * Integrate with Form Energy's enterprise systems - the Snowflake data platform (read-only reference data), enterprise applications (Oracle, Arena, Jama, and others), and shop-floor / operational systems - respecting each system's authoritative boundary and never writing into systems you don't own. * Ship to production reliably: containerized services, CI/CD, and deployment on Form Energy's internal Kubernetes platform, with the observability, testing, and documentation needed to operate what you build. * Use AI aggressively as a force multiplier in how you build - AI-assisted and agentic development - to deliver more, faster, and at higher quality than a conventional engineering approach would allow. * Work in a fast, prototype-to-product style: get a working thing in front of users quickly, iterate beside them, and harden it into software the team can rely on - without accumulating unmanageable debt. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - 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