Design, develop, deploy AI agents with tool-use, memory, and context in LangChain.
Integrate LLMs with external tools, APIs, knowledge sources, and enterprise systems.
Build retrieval layers (hybrid/vector search, metadata filtering) for LLMs.
Stay up-to-date with Gen AI tech and best practices.

🎯 Requirements

Proficiency in TypeScript and Node.js.
Strong grasp of software design principles and patterns.
Experience with NoSQL and vector DBs (OpenSearch preferred).
Hands-on AI agent workflows with tool-use, memory, context.
Deep understanding of agentic behaviors: planning, retrieval, self-correction.
Deep knowledge of LangChain and LangGraph; production experience preferred.

🎁 Benefits

Competitive compensation and career development.
Experienced team and friendly atmosphere.
Career growth opportunities.
Paid time off: 18 days per year (20 after 2 years).
Sick leave: 4 days (non-documented); 20 days documented.
Family leave: 3 paid days.

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