Summary
✨ AI‑Generated
Join an early-stage team as a founding AI engineer and build production-grade LLM and agentic systems from the ground up. You will work hands-on across orchestration, state management, evaluation, failure handling, and reliability while turning real customer problems into scalable AI capabilities.
Highlights
Founding-team opportunity with base salary and equity, hands-on ownership of production AI systems, direct collaboration with leadership, and the chance to turn customer-specific solutions into scalable capabilities.
Description
Founding AI Engineer – LLMs & Agentic AI
Location: New York, NY (Hybrid)
Employment Type: Full-Time (Base Salary + Equity)
Experience: Startup / Early-Stage Experience Preferred
We are looking for a Founding AI Engineer to join an early-stage team and take a hands-on role in building and shipping production-grade AI systems.
This is an opportunity for an engineer who enjoys working directly with the founder, solving complex problems, and turning customer-specific solutions into scalable platform capabilities.
What We’re Looking For
Currently writing production code with a strong hands-on engineering focus.
Your most recent hands-on production/shipping experience should be within the past 12 months.Proven production experience with LLMs and AI agents—not just prompt engineering.
Experience should include agent orchestration, state management, evaluations, failure handling, and production reliability.Comfortable working in a small, founding-team environment with a high degree of ownership and direct collaboration with the founder.Demonstrated public artifacts of agentic AI work, such as:GitHub repositoriesTechnical blog postsConference or meetup talksOpen-source contributions to projects such as LangGraph, DSPy, Inspect, Anthropic SDK, or similar ecosystems.
Experience building Vertical AI solutions, particularly in domains such as:
HealthcareLegalInsuranceFinanceStrong experience working with messy, unstructured, and complex real-world data.Experience transforming custom customer implementations into reusable platform primitives, frameworks, or product capabilities.Previous experience as an early engineer or founding engineer at a startup, ideally in a fast-paced environment where you owned significant parts of the product and technology.
Ideal Candidate
You are a hands-on AI engineer and builder, not someone focused solely on research, strategy, or prompt engineering.
You enjoy taking ambiguous problems from concept to production, building reliable agentic systems, and creating reusable technology that can scale beyond individual customer engagements.
If you have production LLM/agent experience, strong engineering fundamentals, startup experience, and publicly demonstrable AI work, we’d love to hear from you.
