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aws python apis llms langchain📋 Description
- Design and build agentic AI workflows using LLMs to reason, plan, and act.
- Architect multi-agent systems integrating with internal services, APIs, and data platforms.
- Collaborate with product/data/ML teams to translate problems into agent-driven solutions.
- Productionize agent workflows with observability, reliability, and performance guarantees.
- Implement evaluation, monitoring, and guardrails for agent behavior, latency, and cost.
- Document architectures and best practices to enable team-wide adoption and scalability.
🎯 Requirements
- Bachelor's or Master's degree in Computer Science, AI, ML, or related technical field.
- 5+ years of experience in full stack Data Scientist, ML engineering, or applied AI roles.
- Hands-on experience with LLMs and agentic systems (LangChain, LangGraph, AutoGen, etc.).
- Strong proficiency in Python and experience building production-grade systems.
- Experience deploying LLM-based systems at scale and integrating with tools, APIs, databases, and workflows.
- Familiarity with cloud-native systems and AWS services (ECS, EKS, Lambda, DynamoDB, S3, SageMaker).
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