AI/ML Engineer(GenAI)
Summary
Design and build production-grade generative AI systems using LLMs, embeddings, and retrieval pipelines, while optimizing for latency, cost, and reliability.
- Build LLM powered systems with retrieval and agents
- Build semantic search with embeddings
- Collaborate with stakeholders to define AI problem statements
- Create data pipelines for context retrieval
- Deploy and monitor AI solutions in production
- Design production grade generative AI solutions
- Engineer prompt and guardrail mechanisms
- Implement evaluation frameworks for reliability and quality
- Optimize latency, cost, and performance
- Translate requirements into engineering standards