• BS or MS in Computer Science or a related field (or equivalent experience).
• 3+ years as a software engineer, ideally with some time in a customer facing role (FDE, solutions engineering, consulting, or similar).
• Strong in Python. Comfortable with at least one of TypeScript, Go, or Rust.
• Hands on experience shipping LLM or ML systems to production: APIs, fine-tuning, evals, RAG, or agents.
• Solid with cloud and infra basics: AWS/GCP/Azure, Docker, Kubernetes, networking, and security.
• Clear communicator who can explain tradeoffs to an engineer and a VP in the same meeting.
• Ownership mindset. You'd rather fix it yourself than file a ticket.
• Bonus: experience with GLiNER, NER, or other information extraction models.
• Bonus: early stage startup experience.
• Willing to travel to customer sites as needed.