Build LLM-powered full-stack features: vector-backed expert and solicitation indexes, search (OpenSearch/PGVector), APIs and UI. Ship production-quality Python/Go and React code, using AI tools daily, ensure security, reliability, and scalability while iterating rapidly on an AI-first platform.
About Us
The Role
What You'll Do
What We're Looking For
Why Join
Government contracting runs on expertise, yet reaching the right expert at the right moment is still a labyrinth. OnFrontiers is the expert network built to change that. We connect the organizations that win and deliver government work with a vetted network of 17,000+ practitioners who have actually done it. We're also building that expertise into the AI workflows teams already use, so the right person informs the right task at the moment it counts.
We create value for the whole GovCon ecosystem:
- For contractors, we lower the friction of engaging the right subject-matter expert at the right time, turning a labyrinth into a fair, merit-based advantage that rewards what a team knows, not who it knows.
- For experts leaving government, we open a direct path to put hard-won expertise to work, engage with mission-driven companies, and often build a second career.
- For government, we grow an expert ecosystem around public work that gets better solutions into agencies faster and helps keep institutional knowledge from walking out the door.
We're a lean, AI-native team building the infrastructure for how expertise gets deployed. This is a chance to build not just a product, but an industry-defining technology.
As a full-stack engineer on our team, you'll build and ship the next generation of our expert intelligence platform. You'll code every day across the stack, from LLM-powered features to the APIs and interfaces that deliver them, working closely with our engineering lead and the rest of the team to get new capabilities into customers' hands quickly.
This is a hands-on building role on a small, AI-native team. Your work ships fast and matters immediately, and you'll have real ownership of the features you take from idea to production.
- Build LLM-powered systems for expert matching and solicitation intelligence.
- Build and improve our vector-backed indexes of experts and solicitations, and the search that connects them (OpenSearch, PGVector, Go).
- Ship features that accelerate talent mobility by graphing knowledge at the individual work-experience level.
- Build core SaaS platform and API features across the stack (Python, Go, React).
- Take features from idea to production: write clean, tested, maintainable code and own what you ship.
- Work AI-first: pair with Claude and our internal tooling to design, write, test, and review code, and help improve how we build.
- Collaborate directly with the engineering lead, product, and leadership to ship quickly and iteratively.
- Balance startup speed with the things that keep a platform healthy: security, reliability, and scalability.
What We're Looking For
- Proven experience shipping full-stack software in Python, React, and AWS. Go is a plus.
- Hands-on experience with LLMs, LLM orchestration, vector search, or AI-first product development.
- You already build with AI tools daily (Claude, Copilot, or similar) and want to go deeper.
- Startup speed: comfortable with ambiguity, fast iteration, and wearing many hats.
- Solid engineering fundamentals: you write readable, tested code and care about what happens in production.
- Mission-driven, hungry, and eager to own outcomes.
- Comfortable engaging on data security and compliance topics (CMMC / FedRAMP / SOC 2 familiarity a plus, not required).
- Impact: your work will directly shape how $100B+ in government contracting decisions get made.
- Equity upside: a meaningful ownership stake.
- Growth path: join early and grow with the team, with room to take on more scope and seniority as we expand.
- Mission: build AI-first technology that modernizes how government and industry collaborate.
OnFrontiers, Inc. New York, New York, USA Office
149 5th Ave, 9th Fl, New York, NY, United States, 10010
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