Staff AI Engineer
We're looking for someone who's been in the NLP and ML space long enough to have perspective. You've seen the field evolve, you transitioned into the LLM era with a clear understanding of what changed and what didn't, and you have strong instincts for when to prompt-engineer vs. fine-tune, how to build eval systems that actually scale, and how to make pragmatic architecture decisions under real constraints.
As a Staff AI Engineer at Spara, you will:
Go deep on the core engine that powers all of Spara's AI agents: retrieval, ranking, response generation, and the frameworks that tie them together. You'll bring a level of depth and technical judgment here that raises the bar for the whole team.
Design and scale the evaluation approach across the platform as we add new agent types and capabilities.
Bring depth on fine-tuning and training: when it's worth it, how to do it well, and how to make pragmatic tradeoffs as the platform scales.
Make foundational technical decisions that compound. At our stage, the right abstractions and architectural choices have outsized impact.
Collaborate closely with leadership to shape the product and technical roadmap. This is a role with real influence, not just execution.
Ship to production multiple times a day using a modern stack: FastAPI/Python, React/TypeScript, Postgres + pgvector, multiple foundation models (OpenAI, Anthropic), Google Cloud, Docker, GitHub Actions.
What We're Looking For:
7+ years of engineering experience, with significant depth in NLP, search, retrieval, or related ML domains
Experience that predates the current LLM wave. You understand the fundamentals underneath the abstractions.
Track record of designing and deploying sophisticated ML/AI systems in production
Strong opinions on evaluation methodology. You've built eval pipelines before and know what makes them useful vs. theater.
Experience with or strong instincts around fine-tuning: when it's worth it, how to do it well, what the tradeoffs are
Ability to thrive in an early-stage environment. We're seed stage with real enterprise customers and a senior team, moving fast toward our next phase of growth.
Excellent communication skills. You'll be shaping how the team thinks about hard problems, not just solving them alone.
Nice to have:
Advanced degree in ML, NLP, or a related field
Previous startup experience, especially at companies that scaled from early to growth stage
Location & Work Schedule:
Hybrid: 3 days per week in our office in downtown Manhattan (World Trade Center), with the option to work remotely on Wednesdays and Fridays.
Compensation & Benefits:
Health, dental, and vision insurance
Flexible PTO
Collaborative environment with experienced engineers solving hard problems together
Real ownership over product direction and technical architecture
In-office culture in NYC with flexibility for work-life balance