Backend Engineer – Python & Generative AI

Job Description

About the Role :

We are seeking a highly skilled Backend Engineer with strong expertise in Python development and experience building Generative AI and Large Language Model (LLM)-based enterprise solutions. The ideal candidate will be responsible for designing, developing, and maintaining scalable backend services, integrating AI-driven applications, and contributing to the architecture of production-grade systems. This role offers the opportunity to work on cutting-edge AI technologies, agentic workflows, and cloud-native architectures while collaborating with cross-functional teams to deliver innovative business solutions.

Key Responsibilities :

– 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.

– Develop and maintain LangChain and LangGraph-based orchestration workflows for AI systems.

– Work on GraphQL APIs and AWS AppSync integrations.

– Implement observability, tracing, and monitoring for LLM applications using Langfuse.

– Leverage AWS services such as DynamoDB and S3 for scalable storage and data management.

– Participate in architecture and system design discussions to build scalable, secure, and production-ready systems.

– Write clean, maintainable, and testable code with appropriate unit test coverage.

– Troubleshoot, debug, and optimize application performance.

– Collaborate with product, engineering, and business stakeholders to translate requirements into scalable technical solutions.

– Participate in code reviews and adhere to engineering best practices and development standards.

Required Skills & Experience :

– 5 to 8 years of experience in backend software development.

– Strong expertise in Python backend development.

– Hands-on experience with Flask and/or FastAPI.

– Strong understanding of REST APIs, backend architecture, and microservices.

– Experience with GraphQL and AWS AppSync.

– Hands-on experience building LLM and Generative AI applications.

– Experience with LangChain and LangGraph for 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, including DynamoDB and S3.

– Good understanding of system design, scalability, and distributed architectures.

– Experience writing unit tests using Pytest.

– Strong knowledge of Git, version control, and code review practices.

– Excellent debugging, analytical, and problem-solving skills.

Preferred Qualifications :

– Experience deploying and managing AI applications in production environments.

– Exposure to cloud-native architectures and containerized deployments.

– Familiarity with CI/CD pipelines and DevOps practices.

– Experience working in Agile development environments.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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