Strong experience with large-scale LLM-powered or agentic systems in production environments
Strong research taste in evaluation design, post-training methods, and model improvement workflows
Desire to own problems end-to-end and deliver measurable outcomes
Ability to work directly with customers
Obsession with detail, code quality, and clean, modular system design
Strong ownership mentality and ability to thrive in a fast-paced startup environment
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Responsibilities
Design and implement LLM-powered systems and scalable agentic workflows in production
Build robust data processing pipelines for evaluation datasets and feedback loops
Work closely with customers to understand their workflows and deliver impactful products
Apply novel research ideas to advance self-improving AI systems
Contribute to technical blogs and research implementations to strengthen the technical foundation
Benefits
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 opportunity to make a career-defining impact
Visa sponsorship
Full Job Description
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)
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.
