Forward Deployed Engineer – Applied AI Focus

About the role

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'll be supported by senior FDEs and the platform team, but you'll own the build. Most of your time will be spent inside Titan Foundry, our Banking-Reasoning Models, and our Banking Agents framework, configuring and extending to fit each client's specific problem.

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

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.

• Technical foundation: 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

Qualifications

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

Skills

Builder mindset
Client-facing comfort or eagerness to become so
Rapid learning ability
Technical foundation in prompt and context engineering, full-stack development, and AI agent building

Benefits

Competitive base salary plus meaningful pre-Series A equity
Remote-first with regular client travel (~25–40%, depending on engagement)
Unlimited PTO

Pay

$140K - $200K

Schedule

Not specified