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 forward deployed engineering lead to build and run how we work with customers. You will be the technical lead on our design partner engagements, embedding with their engineering teams and building specialized agents that keep improving the more they are used. You will do this hands on at first, then hire and lead the forward deployed team as we grow, and the role can grow into broader engineering leadership. You will work closely with our research team, product, and the co founders, and report to our VP of Engineering.
Responsibilities
Lead technical discovery with customers to understand their workflows, constraints, and success criteria.
Build proofs of concept and production systems inside customer codebases and infrastructure.
Co-design evaluations and reward signals that measure what matters for each customer's business.
Advise on model and training strategy, and run training with customer data alongside our research team.
Own the technical relationship with each customer through production launch and beyond.
Make sure what we promise customers is something research and engineering can deliver.
Find repeatable patterns across customers and turn them into product with our product and research teams.
Hire, grow, and lead the forward deployed team, and define how we run engagements.
Qualifications
7+ years of software engineering, including 2+ years leading customer facing engineering teams or engagements.
A track record of leading customer facing technical work, as an FDE, solutions architect, applied ML lead, or technical founder.
A history of building production software with customers, not just advising them.
Strong Python skills and experience writing and debugging production code.
Production experience with LLMs, including agents, evaluations, and deployment at scale.
Working knowledge of how models are post trained, with hands on RL experience a strong plus.
Experience with cloud platforms (AWS, GCP, or Azure), Kubernetes, and GPU based deployments.
Experience hiring and leading engineers.
Excellent communication. You can run a discovery call, present to a VP, and debug a production issue on the same day.
Willingness to travel and spend time on site with customers.
Nice to Have
Led a forward deployed or customer engineering team at a frontier lab, AI infrastructure company, or Palantir.
Former technical founder.
Experience with inference engines such as vLLM, SGLang, or TensorRT-LLM.
Experience in regulated or security sensitive environments, such as finance, healthcare, or the public sector.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Noeri develops AI-powered solutions for enterprise applications.