Job Description: Design, develop, and maintain scalable backend applications and APIs using Python.
\* Design and implement \*\*LLM/GenAI\-based use cases and agentic workflows\*\*.
\* Work on \*\*GraphQL APIs and AWS AppSync integrations\*\*.
\* Develop and maintain \*\*LangChain/LangGraph\-based orchestration workflows\*\* for AI systems.
\* Implement observability, tracing, and monitoring for LLM applications using \*\*Langfuse\*\*.
\* Work with \*\*AWS services including DynamoDB and S3\*\* for scalable storage and data management.
Responsibilities: \#\#\# Required Skills
\* Strong experience in \*\*Python backend development\*\*
\* Experience with \*\*Flask / FastAPI\*\*
\* Strong understanding of \*\*REST APIs, backend architecture, and microservices\*\*
\* Experience with \*\*GraphQL / AWS AppSync\*\*
\* Hands\-on experience with \*\*LLM / Generative AI applications\*\*
\* Experience with \*\*LangChain and LangGraph\*\* for LLM orchestration and workflow management
\* Experience with \*\*Langfuse\*\* for LLM observability, tracing, and monitoring
\* Strong understanding of \*\*agentic workflows and stateful AI systems\*\*
\* Hands\-on experience with \*\*AWS services (DynamoDB, S3\)\*\*
\* Good understanding of \*\*system design and scalable architecture\*\*
\* Experience writing \*\*unit tests using pytest\*\*
\* Strong understanding of \*\*Git, version control, and MR/code review workflows\*\*
Qualifications: Bachelors defree
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