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Infused Solutions

Forward Deployed Engineer

New York, NY Mid

Role Description

Forward Deployed Engineer

Job Type: Permanent, Full Time

Compensation: Up to $300,000 + Bonus & Equity

Location: New York, Hybrid

Infused Solutions has partnered with a well-funded Series A fintech that is expanding their engineering team in New York.

This isn't a build-and-hand-off role. You'll sit at the intersection of engineering and client delivery - defining problems, designing agentic solutions and owning them end to end. One week you're deep in infrastructure, the next you're in front of a portfolio manager at a top-tier fund.

What they're looking for:

  • You've shipped production agentic AI systems - LangGraph, Claude Code, MCP
  • You can define a customer's problem well enough to actually solve it
  • You're comfortable owning the full stack from infrastructure to client delivery
  • You understand how institutional investors work - buy side, sell side, front office
  • You use coding agents as part of your daily workflow

Small team. High ownership. Real impact.

Please reach out to Harvey Moran for immediate consideration.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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