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GlobalLogic

Lead AI Engineer

Remote Lead $6.8k–$14.5k/moest.

Summary

GlobalLogic is seeking a Lead AI Engineer to architect and implement an AI-driven SDLC automation platform. This role focuses on designing RAG pipelines, agent systems, and tool-calling mechanisms using AWS Bedrock, with responsibility for establishing AI engineering standards and long-term GenAI roadmap.

What you'll do

  • Architect and implement RAG pipelines on AWS Bedrock
  • Design knowledge ingestion pipelines from JIRA, GitHub, Confluence, and S3
  • Define chunking, embedding, and retrieval strategies
  • Design vector storage and retrieval architecture
  • Architect tool-calling agent systems using MCP or equivalent architectures
  • Implement hallucination mitigation strategies
  • Build evaluation pipelines for model quality and regression testing
  • Optimize token usage and latency
  • Define model routing strategies balancing cost versus quality
  • Implement guardrails and structured validation
  • Collaborate with DevOps to productionize AI services
  • Mentor AI engineers and define AI engineering standards
  • Define long-term GenAI roadmap and architecture patterns

Requirements

  • 8+ years software engineering experience
  • 3+ years hands-on ML/AI engineering experience
  • Strong Python (mandatory)
  • Proven production experience with LLM systems beyond notebooks or PoCs
  • 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 (FastAPI or similar)
  • Experience with vector databases (OpenSearch, Pinecone, etc.)
  • Experience implementing evaluation frameworks for LLM quality
  • Experience mitigating hallucinations and prompt instability
  • Deep understanding of RAG architecture, embeddings, chunking strategies, and retrieval optimization
  • Knowledge of token economics and context window constraints
  • Experience integrating with GitHub and JIRA APIs

Conditions

Production-focused role requiring real GenAI experience. Involves mentoring responsibilities and architectural decision-making for company-wide AI engineering standards.

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