The Role We are looking for a AI Engineer to build intelligent systems that learn from real-world usage. You will work across LLMs, agent architectures, evaluation pipelines, and production AI systems, turning cutting-edge research into reliable products. Some weeks you'll be developing novel AI capabilities and experimenting with new models. Other weeks you'll be shipping production features that help customers build smarter, more reliable AI applications. What you'll do:
Build SOTA agentic pipelines that mine production traces for failures mining, triaging, evaluations, and optimizations
Design and implement large-scale data processing systems that turn production agent traces into signal for evaluation and optimization
Design and run optimization loops that convert evaluation signal into measurable gains in agent behavior
Own the cost and latency profile of our ML systems as trace volume and customer count scale
Push novel evaluation and post-training research into production within weeks
What we look for:
Hands-on experience shipping LLM-powered or agentic systems to real production environments
Strong instincts around evaluation design, post-training methods, and agent triaging
Comfortable working directly with customers and translating their constraints into system decisions
High bar for code quality, modularity, and systems that stay clean as they grow
Ability to move fast in ambiguous territory and turn open problems into clear, executable plans
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Our Core Values:
Customer Obsession - We start with the customer and work backwards. We aim to earn trust through consistent delivery, thoughtful listening, and by obsessing over customers.
Intellectual Honesty - We operate with high trust and low ego. Ideas matter more than titles, and we communicate openly and directly while assuming good intent, even in strong disagreement.
Bias for Action - We set high standards and move quickly to meet them. We prefer building and learning with customers over debating in the abstract, and we iterate based on real feedback.
Extreme Ownership - We take responsibility for outcomes, not just tasks. Ownership means seeing problems through to completion and ensuring solutions truly work in practice.
Benefits and perks
Competitive salary plus meaningful equity package
Comprehensive medical benefits and generous PTO
Flexible work arrangements
Direct impact on company direction and technical decisions
High ownership and the opportunity to make a career-defining impact
Visa sponsorship
As a founding member, you’ll help define the technical foundation of NeoSigma. Your scope will grow with the company, from owning core systems end-to-end to shaping architecture, hiring, and engineering culture. This role has a natural path toward technical leadership or engineering management as the team scales.
Numbers & Facts
Location
San Francisco, California
Skills
Architectural Analysisunmatched
Artificial Intelligence (AI)unmatched
Communication Skillsunmatched
Computer Scienceunmatched
Customer Support/Serviceunmatched
Data Processingunmatched
Engineering Managementunmatched
Large-Scale Systemsunmatched
Mine Productionunmatched
Production Systemsunmatched
Systems Engineeringunmatched
Technical Leadershipunmatched
Website Conversionunmatched
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