About Us
We are a small team of researchers and engineers focused on pushing the frontier of what agents are capable of. We believe the next leap in agent performance will come not from bigger general models, but from specialization and continual learning: agents that get better at their specific job the more they do it. We build the systems that make this possible, turning real-world usage into lasting improvement.
Summary
We are looking for a founding style engineer to build the product and service infrastructure behind our platform, which developers use to build, deploy, and continually optimize their agents. You will own systems end to end, from the data layer and APIs to the services customers touch every day. You will work closely with research and infrastructure to turn new methods into reliable product. You will have a large influence on our technical direction.
Responsibilities
Design, build, and operate the backend services and APIs behind our agent platform.
Build the data layer that captures agent traces, feedback, and evaluations, and makes them usable for training.
Own reliability, security, and observability for customer facing services.
Support deployments in customer cloud environments and VPCs, with strong isolation.
Integrate with our training, inference, and evaluation systems so improvements reach customers safely.
Build the internal tools that make the team faster.
Work with customers and the forward deployed team to turn repeated needs into product.
Set engineering standards and mentor other engineers as the team grows.
Qualifications
Strong software engineering experience building and running production systems end to end, ideally at an early stage company.
Strong Python skills. TypeScript, Go, or Rust is a plus.
Experience with cloud platforms (AWS, GCP, or Azure), Kubernetes, and managed data stores.
Experience designing data pipelines and APIs that other teams depend on.
Production experience with LLM applications, agents, or ML systems.
A track record of owning critical systems, including incident response.
Comfortable with ambiguity and able to own large problems end to end.
Nice to Have
Founding or early engineer at a startup.
Experience building developer platforms or infrastructure products.
Experience with LLM observability, evaluation, or tracing systems.
Experience working in regulated or security sensitive environments.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Noeri develops AI-powered solutions for enterprise applications.