Design and develop LLM-powered applications and AI agents for real-world use cases
Build and orchestrate agent workflows using LangChain and LangGraph
Implement HITL systems for controlled AI decision-making
Design and optimize RAG pipelines
Advanced retrieval strategies (hybrid search, re-ranking, filtering)
Ensure observability for LLM applications in production (traces, metrics, logs)

🎯 Requirements

3–5 years of experience in AI/ML or backend engineering
Strong Python programming
Hands-on experience with LLMs, NLP, and AI agents
Strong experience with LangChain and LangGraph (must-have)
Experience implementing human-in-the-loop workflows
Solid understanding of RAG systems, including retrieval and chunking strategies

🎁 Benefits

Flexible working hours and agile options
Birthday off and thoughtful personal perks
Comprehensive rewards package
Access to cutting-edge technology and learning opportunities
Inclusive culture with active networks

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