Principal AI Engineer – Multi-Agent Systems & LangChain
GlobalLogic
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Avantages offerts par ce poste
Résumé du poste
GlobalLogic is seeking an AI Systems Engineer to design and build agentic AI systems powering intelligent automation across a broad data ecosystem. You will integrate large language models, data sources, and MCP-based access, shaping scalable, secure agent architectures.
The role emphasizes rapid iteration, collaboration with cross-functional teams, and deployment on AWS Bedrock with production-grade Python services.
Qualifications
- Proficient in Python with production-grade code experience.
- Hands-on with multi-agent orchestration frameworks (LangGraph, LangChain, AgentCore).
- Experience integrating LLMs via APIs (Bedrock, Anthropomorphic APIs).
- Experience connecting data platforms (Snowflake, Iceberg, OpenSearch) and Qlik ecosystems.
Responsabilités
- Design and build production-grade agentic AI systems.
- Develop multi-agent pipelines with routing, memory, and evaluation loops.
- Create REST APIs with FastAPI to expose agent capabilities.
- Integrate agents with data platforms and MCP for real-time access.
Connaissances
Outils
Description du poste
GlobalLogic is seeking an AI Systems Engineer to design and build agentic AI systems powering intelligent automation across a broad data ecosystem. You will integrate large language models, data sources, and MCP-based access, shaping scalable, secure agent architectures.
The role emphasizes rapid iteration, collaboration with cross-functional teams, and deployment on AWS Bedrock with production-grade Python services.
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