Forward Deployed Engineer – Applied AI Focus

Titan AI; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-first

Client travel

Unlimited PTO

Medical, dental, and vision covered

Equity

Job summary

Titan AI in the United States seeks an inventive engineer to own client engagements, building agentic workflows on the Titan platform and toolkit for banking use cases. You’ll configure agents, write integrations, design evals, and wire up observability for production readiness, while partnering with clients and our platform team.

The growth path leads toward senior architectural ownership and off-platform builds, with a remote-first environment and regular client travel.

Qualifications

• Strong background in full-stack development with backend emphasis (Python).
• Experience building agentic workflows and integrations for production.
• Familiarity with LangChain, LangGraph, DeepAgents and AI model SDKs.
• Awareness of AI security, data controls, and observability.

Responsibilities

• Build and ship agentic workflows on the Titan platform for banking use cases (lending, credit, compliance, ops).
• Configure agents, write integrations, design evaluations, and wire observability for production.
• Partner with clients—operators, analysts, and engineers—to gather requirements and demonstrate progress.
• Iterate rapidly from hypothesis to shipped product and capture patterns for future builds.
• Learn banking domain rapidly through immersion in risk, controls, and regulatory context.

Skills

Full-stack development

Prompt and context engineering

Backend focus (Python)

LangChain/LangGraph/Tools

Agent design and evaluation

Observability and AI risk

Process orchestration

Tools

LangChain

LangGraph

DeepAgents

Claude SDK

OpenAI Agents SDK

Job description

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 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

Who you are

• 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.

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

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.

Why Titan

We’re building the AI platform for banking because most of the two million people employed by 4,000+ U.S. banks cannot safely and securely use modern AI tools at work — and none of them are using AI purpose-built for their domain. We’re changing that. Our platform includes:

• Titan Foundry — secure gateway to top AI models for bank employees

• Banking-Reasoning Models — our flagship small language models for financial services, trained by ex-regulators and banking leaders

• Banking Agents — a configurable AI application layer with expertise in lending, compliance, underwriting, and operations

Our team comes from Goldman Sachs, KeyBank, and the Office of the Comptroller of the Currency. We’ve built and sold companies into the top 25 U.S. banks. We’re pre-Series A, small, and shipping.

The path here is: ship on the platform → master the toolkit → grow into off-platform builds and senior architectural ownership. We’re not hiring you to stay where you start.

What we offer

• 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