Middle AI Engineer

GlobalLogic is seeking a Middle AI Engineer to build an AI-driven SDLC automation platform leveraging AWS Bedrock and advanced AI architectures. This role focuses on implementing production-grade GenAI solutions including RAG pipelines, agent systems, and tool-calling mechanisms with real-world impact beyond experimentation.

• Implement RAG pipelines on AWS Bedrock
• Implement knowledge ingestion pipelines from JIRA, GitHub, Confluence, and S3
• Define chunking, embedding, and retrieval strategies for optimal performance
• Implement vector storage and retrieval architecture
• Architect tool-calling agent systems using MCP or equivalent architectures
• Design and implement structured output agents
• Implement hallucination mitigation strategies and prompt stability solutions
• Build evaluation pipelines for model quality and regression testing
• Optimize token usage and latency across systems
• Implement guardrails and structured validation mechanisms
• Integrate external APIs as agent tools
• Collaborate with DevOps to productionize AI services

• 4+ years of software engineering experience
• 2+ years of hands-on ML/AI engineering experience
• Strong Python proficiency (mandatory)
• Proven production experience with LLM systems beyond notebooks or proofs-of-concept
• Deep understanding of RAG architecture, embeddings, chunking strategies, and retrieval optimization
• Experience with AWS Bedrock
• Experience designing tool-calling LLM systems (MCP or equivalent architecture)
• Experience integrating external APIs as agent tools
• Experience building REST services with FastAPI or similar frameworks
• Experience with vector databases such as OpenSearch or Pinecone
• Experience implementing evaluation frameworks for LLM quality
• Experience mitigating hallucinations and prompt instability
• Strong understanding of token economics, context window constraints, and cost-performance tradeoffs
• Experience integrating with GitHub and JIRA APIs