EXL - 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.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. (ref:hirist.tech)