Job Description
Key Responsibilities
- Build and maintain backend services and APIs enabling secure access to LLM capabilities
- Develop and optimize Python-based GenAI components, including prompt orchestration, output validation, and evaluation tooling
- Integrate LLMs with enterprise systems, observability tooling, and security frameworks
- Design, implement, and maintain CI/CD pipelines aligned with engineering standards (primarily Azure DevOps)
- Collaborate with platform leads, architects, and SRE teams to ensure reliable production operations
- Support benchmarking, evaluation, and experiment tracking for LLM performance and cost
- Contribute to RAG (Retrieval-Augmented Generation) implementations and enterprise data access patterns
- Help define API standards, reusable patterns, and technical documentation to support platform adoption
- Troubleshoot and optimize performance across distributed systems and cloud serv...
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