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Tech Stack
Tools & technologiesAWSNeo4j
About the role
Key responsibilities & impact- Develop and maintain chatbots and intelligent agents using Python;
- Design conversational flows and agent architectures, including multi-agent scenarios;
- Work with frameworks such as LangChain, LlamaIndex and CrewAI;
- Integrate solutions with LLM APIs (OpenAI, Anthropic, Gemini);
- Apply prompt engineering techniques and manage conversational context;
- Develop backend APIs using FastAPI and/or Flask;
- Implement integrations via Model Context Protocol (MCP);
- Work with relational and vector databases;
- Ensure quality through automated tests using Pytest;
- Work with Docker, CI/CD and monitoring of production solutions;
- Provide technical contributions to the evolution of architectures and team best practices.
Requirements
What you’ll need- Strong experience with Python backend development;
- Experience developing chatbots and AI agents;
- Experience with LangChain, LlamaIndex, CrewAI or similar frameworks;
- Knowledge of LLM APIs and Generative AI;
- Experience with FastAPI and/or Flask;
- Knowledge of PostgreSQL;
- Experience with vector databases such as Pinecone, Milvus or ChromaDB;
- Experience with Docker and CI/CD pipelines;
- Knowledge of automated testing with Pytest;
- Knowledge of observability and application monitoring.
Benefits
Comp & perks- This position is also open to candidates with disabilities (PwD).
ATS Keywords
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Hard Skills & Tools
Pythonchatbotsintelligent agentsLangChainLlamaIndexCrewAIFastAPIFlaskPostgreSQLPytest
