Forward Deployed Engineer

Forward Deployed EngineerLocation: Remote (US) | Type: Contract, Full Time | Experience: 4+ yearsAbout the RoleWe're hiring Forward Deployed Engineers to take AI from a promising prototype to something people use every day. You'll scope the problem with the client, write the code, connect it to their systems, and stay with it until it works in production.These are full-time contract engagements with enterprise teams and AI-focused companies in industries like energy, healthcare, financial services, and industrial operations. Some weeks look like backend engineering. Others look like consulting: running a working session with operators, figuring out what the data can actually support, and telling a VP what's realistic.If you've built an agent or RAG system that impressed people in a demo and then watched it stall before launch, this is the job where you get to finish it.What You'll DoSit in discovery with client stakeholders and turn loose business goals into scoped, buildable workBuild LLM applications, agents, and retrieval systems in Python that hold up under real latency, cost, and security limitsConnect models to the systems the client already runs: APIs, data warehouses, internal tools, and MCP servers where they fitWrite evals before calling anything done, and use them to decide what to fix nextDeploy on AWS, Azure, or GCP and own what happens after launchSome of the work is integration and cleanup. Better to say that now than surprise you laterExplain trade-offs to technical and non-technical audiences, in writing and in the roomBring what you learn in the field back to the team so the next engagement starts further aheadQualificationsEngineering4+ years writing production software, with Python as a primary languageShipped at least one LLM-powered system to real users (agents, RAG, tool use, or structured extraction)Comfortable with cloud deployment, APIs, and the unglamorous parts like auth, logging, and CI/CDWorking knowledge of how to evaluate LLM output, beyond eyeballing itClient-FacingExperience in a customer-facing technical role: consulting, solutions engineering, implementation, or a startup where you talked to users directlyYou can run a meeting, write a clear status update, and push back on a bad requirementNice to HaveExperience with MCP, agent frameworks, or orchestration toolingBackground in a regulated industry such as healthcare, finance, energy, or governmentYou use AI tools daily in your own work and have opinions about which ones are worth itWhy Join UsYou'll work alongside engineers and strategists who've delivered AI across a lot of enterprise environments, so you won't be figuring out client work alone. Engagements are scoped around outcomes, not hours of busywork, and you'll have a team behind you that knows how to run them.New engagements open on a rolling basis. Apply once and we'll match you to the ones that fit your background.To apply, click Apply on LinkedIn