[Hiring] Forward Deployed Engineer – Applied AI Focus @Titan AI

Role Description This is the FDE role with an applied AI spike. You'll be the engineer on a client engagement, working on the Titan platform and toolkit to deliver agentic systems that solve real banking workflows. You won't be alone — you'll be supported by senior FDEs and the platform team — but you'll own the build. You'll spend most of your time inside Titan Foundry, our Banking-Reasoning Models, and our Banking Agents framework, configuring and extending to fit each client's specific problem. The growth path is into the senior FDE archetype: more off-platform building, deeper partnership with client engineering teams, broader architectural ownership. What you'll do Build and ship agentic workflows on the Titan platform to solve specific banking use cases (lending, credit, compliance, ops) Configure agents, write integrations, design evals, and wire up the observability that proves things work in production Partner directly with clients — operators, analysts, sometimes their engineers — to gather requirements, demo progress, and absorb feedback Iterate fast: hypothesis, prototype, feedback, refine, ship Capture patterns back into the platform so your next build (and everyone else's) starts ahead Learn the banking domain rapidly through immersion — risk, controls, lending lifecycle, regulatory context Qualifications A builder. Demonstrably. Unconventional paths welcome — and frankly preferred. If you taught yourself to code while working in a different industry because you couldn't stop thinking about the opportunity, we want to talk. Comfortable being client-facing or excited to become so. You don't need years of consulting; you do need to want to be in the room. Hungry to learn banking. Capable of running a small project end-to-end without dropping balls. Requirements Prompt and context engineering experience (e.g., understand the nature of language model responses, able to return equal results out of smaller models with better prompts and context) Full-stack development with a stronger spike in backend (Python is core; TypeScript helpful) Experience building agents with LangChain, LangGraph, DeepAgents, and model-provider SDKs (Claude SDK, OpenAI Agents SDK) — strong side-project experience is fine Familiarity with agent search patterns: agent file search, vector RAG, vectorless RAG Some exposure to AI evals, observability, or training loops — you've at least played with the tooling Awareness of AI security concerns (data controls, gateways, observability) and willingness to learn the rest Process orchestration and workflow automation experience We don't expect a perfect match on every line. We expect that what you don't yet know, you can pick up in weeks, not quarters. Benefits Competitive base salary plus meaningful pre-Series A equity Remote-first with regular client travel (~25–40%, depending on engagement) Unlimited PTO 100% of employee medical, dental, and vision premiums covered by Titan