Posted 6 days ago
Applied AI Engineer
AI Summary
What you'll doDesign and implement scalable infrastructure for custom AI evaluation systemsBuild tools and platforms for agentic workflows and alignment techniquesDevelop data processing pipelines for evaluation datasets and feedback loopsCreate APIs and interfaces for real-world agent deployment and monitoringOptimize performance and cost of cloud-based ML workloadsContribute to open-source projects and research implementationsQualificationsStrong experience building large-scale LLM-powered or
About this role
What you'll do
- Design and implement scalable infrastructure for custom AI evaluation systems
- Build tools and platforms for agentic workflows and alignment techniques
- Develop data processing pipelines for evaluation datasets and feedback loops
- Create APIs and interfaces for real-world agent deployment and monitoring
- Optimize performance and cost of cloud-based ML workloads
- Contribute to open-source projects and research implementations
Qualifications
- 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
- 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
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 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 MIT, Parallel Web, Essential AI, Apple, and Amazon.
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