Titan AI - Principal Forward Deployed Engineer – Applied AI Focus
Requirements
• A senior engineer with real production scars. You've shipped systems that mattered to real users, at meaningful scale or under meaningful constraint. • A senior engineer with real production scars. • A builder above all. Title less interesting than slope. Many of the best people we know took unconventional paths to get here — that's a feature, not an exception. • A builder above all. • A strong client-facing presence. You can hold your own with a bank CTO, push back on a CISO's threat model with substance, and translate between engineers and executives in real time. • A strong client-facing presence. • A systems thinker. You see how a piece fits — and where it doesn't — before you start typing. • A systems thinker. • Hypothesis-driven, opinion-strong, ego-light. You commit to a direction, you ship to test it, and you change course when the data says to. • Hypothesis-driven, opinion-strong, ego-light. • Banking or regulated-industry experience strongly preferred — financial services, insurance, healthcare, defense, energy, or similar. • Banking or regulated-industry experience strongly preferred • Technical foundation • Senior-level full-stack with a strong backend spike — distributed systems, API design, secure integration patterns, infrastructure fluency • Deep experience building production-grade agents using LangChain, LangGraph, DeepAgents, and model-provider SDKs (Claude SDK, OpenAI Agents SDK) • Fluency in agent search patterns — agent file search, vector RAG, vectorless RAG — and the tradeoffs between them • Strong working knowledge of AI security frameworks: observability, data controls, model gateways, prompt and tool-call sandboxing • Hands-on experience designing and running evals; familiarity with training and fine-tuning loops • Process orchestration and automation at scale • Comfort owning architectural decisions across the full stack of a production AI system
Responsibilities
• Lead the technical design and delivery of complex banking AI engagements, including off-platform builds and bespoke integrations into client systems • Partner directly with client engineering, security, and architecture teams — speak their language, respect their constraints, design for their reality • Architect end-to-end agentic systems: data ingress, model orchestration, evals, observability, security, and the production wrapper around all of it • Make the call on what to build on Titan's platform vs. what to build bespoke vs. what to push back into our roadmap • Mentor mid-level FDEs and influence platform direction by codifying what you learn into reusable assets and patterns • Represent Titan's engineering credibility to banking CTOs, CISOs, and their architects
Benefits
• Estimated Base Salary $180K – $220K • Offers Equity • 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 • Titan Foundry • Banking-Reasoning Models — our flagship small language models for financial services, trained by ex-regulators and banking leaders • Banking-Reasoning Models • Banking Agents — a configurable AI application layer with expertise in lending, compliance, underwriting, and operations • Banking Agents • 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. • A senior FDE here is the person we point to when a client's CTO asks "who's actually building this?" — and the answer needs to be unambiguous. • Competitive base salary plus meaningful pre-Series A equity (senior-level grant) • Remote-first with regular client travel (~30–50%, depending on engagement) • 100% of employee medical, dental, and vision premiums covered by Titan
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