Data Engineer
Skills
About the role
Job Description: Design, develop, and maintain scalable backend applications and APIs using Python.
Build and optimize RESTful APIs and backend services for enterprise-grade applications.
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.
Participate in architecture and system design discussions for scalable and production-ready systems.
Write clean, maintainable, and testable code with proper unit testing.
Perform debugging, troubleshooting, and performance optimization.
Collaborate with cross-functional teams to convert business requirements into scalable technical solutions.
Participate in code reviews and follow engineering best practices.
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
Strong debugging and problem-solving skills
Qualifications: Bachelors defree
Questions about this role
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