Middle AI Engineer $$

GlobalLogic Top Employer

Description

We are building an AI-driven SDLC automation platform leveraging AWS Bedrock, knowledge bases, domain agents, and tool-based orchestration.
We are looking for engineer to implement the AI architecture, including RAG pipelines, agent systems, tool-calling mechanisms (MCP-style architectures), model evaluation, and guardrails.
This role requires real production GenAI experience, not experimentation.

Requirements

  • 4+ years of software engineering experience
  • 2+ years of hands-on ML / AI engineering experience
  • Strong Python (mandatory)
  • Proven production experience with LLM systems
  • Deep understanding of:

โ€“ RAG architecture

โ€“ Embeddings

โ€“ Chunking strategies

โ€“ 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 (FastAPI or similar)
  • Experience with vector databases (OpenSearch, Pinecone, etc.)
  • Experience implementing evaluation frameworks for LLM quality
  • Experience mitigating hallucinations and prompt instability
  • Strong understanding of:

โ€“ Token economics

โ€“ Context window constraints

โ€“ Cost-performance tradeoffs

  • Experience integrating with GitHub and JIRA APIs
  • Production experience beyond notebooks or PoCs

Job responsibilities

  • Implement RAG pipelines on AWS Bedrock
  • Implement knowledge ingestion pipelines (JIRA, GitHub, Confluence, S3)
  • Define chunking, embedding, and retrieval strategies
  • Implement vector storage and retrieval architecture
  • Architect tool-calling agent systems (MCP or equivalent)
  • Define when to use:
  • โ€“ Direct API invocation
  • โ€“ Lambda-based tools
  • โ€“ MCP-based tool integration
  • โ€“ Design and implement structured output agents
  • Implement hallucination mitigation strategies
  • Build evaluation pipelines for model quality and regression testing
  • Optimize token usage and latency
  • Implement guardrails and structured validation
  • Work closely with DevOps to productionize AI services

Required languages

English B2 - Upper Intermediate
Ukrainian Native
Published 25 March
24 views
ยท
2 applications
To apply for this and other jobs on Djinni login or signup.
Loading...