Software Engineer, AI
About the role
Open-source, extensible AI gateway with observability and evals. Role focuses on building production-grade AI systems, including evals, prompt optimization, model routing, and AI-powered analysis of traces and logs for Respan.
Responsibilities
- Design and build AI-powered features including eval frameworks and prompt optimization
- Develop LLM-as-judge pipelines for automated quality assessment
- Build and maintain model routing, caching, and fallback systems
- Experiment with new model capabilities and translate them into product features
- Collaborate with customers to understand AI workflow pain points and build solutions
Qualifications
- Strong software engineering skills with Python and TypeScript
- Hands-on experience building with LLMs in production (not just prototypes)
- Deep understanding of prompt engineering, eval methodologies, and model behavior
Skills

About Respan
Self-driving observability, evals, and gateway for AI agents
Respan (formerly Keywords AI) gives teams a unified control plane to trace and evaluate agent behavior without guesswork, automatically surface issues, and fix what breaks faster. Respan connects production observability, automated and human-in-the-loop evaluations, and an adaptive AI gateway to close the loop between detection, decision, and action - so agents improve continuously in production. Respan is trusted by 100+ AI startups and enterprise teams. Today, the platform process 1B+ logs and 2T+ tokens every month, supporting more than 6.5M end users.
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