[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