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.

Why Join Us? :

- Work on cutting-edge Generative AI and Agentic AI solutions.

- Build scalable enterprise-grade applications used by global clients.

- Collaborate with highly skilled engineering and AI teams.

- Opportunity to influence architecture, innovation, and product direction.