Forward Deployed Engineer – Applied AI Focus
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Job Description
Forward Deployed Engineer focusing on AI banking workflows at Titan. Collaborate with clients to deliver agentic systems and rapidly learn the banking domain.
Responsibilities:
- 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
Requirements:
- A builder. Demonstrably. We'd rather see a GitHub full of unfinished experiments than a resume full of polished titles.
- 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. You don't need to walk in fluent — you need to walk in curious.
- Capable of running a small project end-to-end without dropping balls.
- 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
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
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