Applied AI Engineer
Location: San Francisco, CA
Department: Engineering
What you'll do:
- 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 deeply understand their workflows and deliver products that meaningfully impact their systems
- Apply novel research ideas and build production systems that advance the frontier of self-improving AI systems
- Contribute to technical blogs and research implementations that strengthen our technical foundation
What we look for:
- Strong experience building large-scale LLM-powered or agentic systems in production environments
- Strong research taste, especially 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 — listening carefully, empathizing deeply, and understanding how their organizations operate
- 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)
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.
About the Company
About Us
NeoSigma is a product-driven research lab building the intelligence layer that helps close the feedback loop between your customers, products, and AI systems.
We are a small, intensely technical team of researchers and engineers who have trained frontier-scale models and widely used AI products and agents at Parallel Web, Essential AI, MIT, Apple, and Amazon.
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