SECTION I · THE BRIEF
Brief #57882Updated 22 AUG 2026REMOTEYc
Employbl Company Profile

Software Engineer, AI

Respan is hiring a Software Engineer, AI in Remote. Full brief — comp band, interview process, and hiring team — available to Employbl members.

Location
Remote
Company size
—
Posted
1w ago
Via
Yc
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked
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Software Engineer, AI · Respan

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Job title
Software Engineer, AI
Job location
Alameda, CA, US / Remote (IN)
Job listing URL
https://www.ycombinator.com/companies/respan/jobs/9L4xvXt-software-engineer-ai
Job description
**What we’re building**\ [**Respan**](https://www.respan.ai/) is building the self-driving observability and evals platform for AI teams, used by 60+ YC companies and hundreds of AI teams. **The role** You will work on the systems that make Respan intelligent: automated evaluations, prompt optimization, model routing, and AI-powered analysis of traces and logs. This is deeply technical AI engineering, not just API calls. We are looking for someone who understands LLMs from the inside out and can build reliable, production-grade AI systems that thousands of teams depend on daily. **What you’ll do:** * 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 **What you must have:** * 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 **Strong plus:** * Experience with fine-tuning, RAG, or agent frameworks * Background in ML infrastructure or MLOps * Familiarity with observability systems or developer tools * Contributions to open-source AI/ML projects
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