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Forward Deployed Engineer (AI Data Platform)

Epic Placements | New York City, United States+1 | Today
locations: New York City, United States · San Francisco, United States
$150,000 – $275,000/yr| full-time | on-site | entry | 3–8 years
skills: python, sql, rag, embeddings, ai/llm workflows

Forward Deployed Engineer (AI Data Platform)

SF or NYC (in-office) | $150K–$275K + equity

This is not a typical engineering role

Most engineers build products and hand them off.

This role sits at the edge of the product — where messy, real-world data meets high-stakes decisions.

You’ll work directly with some of the most sophisticated investors in the world — embedding into their workflows, understanding how they think, and building systems that actually get used.

If you like:

  • being close to the customer
  • solving ambiguous, real problems
  • and turning prototypes into production systems

this is that role.

What You’ll Actually Do

This is a mix of builder, problem solver, and technical partner.

  • Build custom solutions on top of customer data (PDFs, Excel, databases — all of it)
  • Connect structured + unstructured data into usable systems
  • Create and run live demos on real customer data (often to senior stakeholders)
  • Work alongside engineers to implement integrations and iterate quickly
  • Sit directly with users, understand workflows, and translate that into product direction
  • Decide what gets productized vs. what stays bespoke

- You’re not just supporting the product — you’re shaping it.

What They’re Looking For

This role is selective — it requires a specific type of engineer.

You likely have:

  • 3–8 years in a technical, customer-facing role (FDE, Solutions Engineer, SWE with customer work)
  • Strong fundamentals in Python + SQL
  • Experience working with messy, real-world data
  • Comfort navigating codebases and building quickly (often with modern AI tools)
  • Strong communication — you can explain complex systems simply

Strong Signals

  • Experience at early-stage or AI-native startups
  • Exposure to data platforms, infrastructure, or developer tools
  • Background working with enterprise customers
  • Familiarity with AI/LLM workflows (RAG, embeddings, etc.)
  • Interest or experience in financial systems

What Makes This Role Different

  • You’ll work directly with founders and early engineers
  • You’ll be embedded with customers — not removed from them
  • The problems are messy, high-stakes, and unsolved
  • You’ll influence what the product becomes, not just how it’s delivered

What This Role Is Not

  • Not a pure SWE role sitting behind a roadmap
  • Not a traditional solutions engineer role with scripted demos
  • Not a place for someone who needs structure or clear boundaries

Why This Role

  • Early-stage company with strong backing and real traction
  • Small team, high ownership, fast iteration
  • Opportunity to define the technical go-to-market function from scratch
  • Direct exposure to customers and real-world impact

Compensation

  • $150K–$275K base
  • Competitive equity
  • In-office in SF or NYC

Benefits

equity
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