Staff Software Engineer

Few&Far

New York (NY)

Hybrid

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Few&Far is seeking a Staff/Principal Software Engineer to drive AI product capabilities in New York City. The role involves architecting and shipping production systems integrated with AI technologies, focusing on customer-oriented solutions.

Ideal candidates will excel in Python and TypeScript, possess strong product thinking, and have a passion for impactful engineering. The position offers a hybrid work model in a competitive salary along with equity participation.

Qualifications

  • Experience in building scalable backend systems and workflows around LLMs.
  • Strong understanding of component-based architecture and distributed systems.
  • Ability to work directly with customers on technical problems.

Responsibilities

  • Architect and ship AI-powered product capabilities end-to-end.
  • Drive engineering standards and mentor other engineers.
  • Move quickly using modern AI-assisted development workflows.

Skills

Python
TypeScript
APIs
Cloud infrastructure

Job description

Staff/Principal Software Engineer (AI Systems / Product Engineering)

NYC / Hybrid | High‑growth AI Startup | Equity Included

We’re partnering with a well‑funded AI startup building infrastructure that transforms how major enterprises make complex operational and financial decisions.

Their platform turns messy, unstructured documents and workflows into trusted, actionable intelligence — helping customers save hundreds of hours of manual analysis and unlock faster, better decision‑making at scale.

This is not an “AI lab” role. You’ll be shipping production systems used by real customers every week. They’re looking for a Staff Software Engineer who thrives at the intersection of product, AI, and systems engineering.

What you’ll do:
  • Architect and ship AI‑powered product capabilities end‑to‑end
  • Build scalable backend systems and workflows around LLMs and structured data extraction
  • Work directly with customers to solve deeply technical, high‑value problems
  • Drive engineering standards, mentor other engineers, and shape technical direction
  • Move quickly using modern AI‑assisted development workflows
Tech environment:
  • Python, TypeScript, APIs, cloud infrastructure
  • LLMs, agentic workflows, retrieval systems
  • Component‑based architecture and distributed systems
  • Heavy focus on product ownership and rapid iteration
What they value:
  • Strong product thinking alongside technical depth
  • Engineers who care about business impact, not just clean abstractions
Compensation:

Highly competitive salary + meaningful equity

If you’re interested in building ambitious AI products with a sharp, low‑ego team solving genuinely hard problems, message me directly.

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