Design and ship AI-powered features into client products
Build evaluation harnesses and treat agent quality as a first-class metric
Work across LLM providers (Anthropic, OpenAI) and embedding stacks
Pair with backend engineers on integration, observability, and fallback design
What we look for
3+ years software engineering, with at least 1 year shipping AI systems in production
Solid Python (or TypeScript) and comfort with vector stores, embeddings, RAG patterns
Have built and run evals — not just prompts in a notebook
Honest about model limits; designs with guardrails
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📌 AI Engineer (Bengaluru)
🏢 REVERONIX
📍 Bengaluru
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