Forward Deployed Engineer – Applied AI Focus

Vaga não está no LinkedIn

🕒 Maio 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $160.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Inteligência Artificial

👻 Score fantasma 43%

infoinfo

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Titan AI

1 - 10 funcionários

🎮 Jogos

🥽 AR/VR

🤖 Inteligência Artificial

Gaming • AR/VR • Artificial Intelligence

Construindo jogos de RPG móvel com Companheiros ✨ de IA 🤖. Primeiro jogo: Hell Rush será lançado em julho de 2024.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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