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AI Forward Deployed Engineer

Engineering · Posted 2 months ago

We are looking for a AI Forward Deployed Engineer with 5–8 years of experience to embed directly at a top-tier hedge fund client in NYC and own the full technical deployment of Transient.AI's cutting-edge capital markets platform. This is a high-autonomy, high-impact role for a confident full-stack engineer who thrives...

Way of working
Hybrid
Location
Midtown West, New York City, NY
Pay range
$200,000 to $250,000
Level
Senior
Experience
5 to 8 years
Type
Full time
Visa sponsorship
Not offered for this role
The company
20 to 50 people

Skills that matter here

PythonTypeScriptReactLLMsAgentic AI FrameworksRAG (Retrieval-Augmented Generation)API Design & IntegrationSDLCVector DatabasesEvaluation Suites

The full description

We are looking for a AI Forward Deployed Engineer with 5–8 years of experience to embed directly at a top-tier hedge fund client in NYC and own the full technical deployment of Transient.AI's cutting-edge capital markets platform. This is a high-autonomy, high-impact role for a confident full-stack engineer who thrives in demanding financial environments, can push back under pressure, and ships real production systems — not demos.

What will you be doing?

- Embed 4 days/week at a hedge fund client as the technical lead, customizing and deploying Transient.AI's AI platform into their live production environment

- Build full-stack solutions end-to-end — from backend API integrations to TypeScript/React interfaces used daily by portfolio managers and analysts

- Own the entire SDLC: code review, testing, versioned releases, and documented decisions for systems that real users depend on

- Integrate LLMs and agentic workflows into production, iterating quickly based on direct feedback from traders, analysts, and ops teams

- Navigate stakeholder relationships across business, compliance, and tech leadership — gathering requirements, negotiating scope, and delivering on milestones

Key Requirements

- Strong Python and TypeScript proficiency — must be a true full-stack engineer, not a consultant who codes on the side

- Proven track record building and shipping client-facing production systems with real SDLC and API discipline

- Experience integrating LLMs into production workflows; comfortable with agentic frameworks and hands-on AI engineering

- Confident, polished communicator who can present ideas clearly, push back on unreasonable demands, and hold their own in a high-pressure hedge fund environment

- 5–8 years of production software engineering experience; backgrounds from Palantir, AI-for-finance startups, or boutique consulting firms with heavy client exposure are strongly preferred

Interested in this one?

There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.

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