- Design experiments and build eval datasets that reflect real-world distributions, not cherry-picked queries
- Diagnose regressions and argue for architectural decisions with evidence
- Figure out where reasoning should be deterministic vs. LLM-driven
- Debug why retrieval missed and fix the class of failure, not just the instance
Youre a fit if
- You understand LLM pipelines, retrieval systems, and agent architectures well enough to reason about their failure modes
- You can take a vague concern like "the recent version feels worse" and turn it into a measurable question
- You build things for fun and have opinions about AI systems most people get wrong
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Applied AI Engineer (Bengaluru)
🏢 Kimcc Services
📍 Bengaluru
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