Technical Architect

Owns end to end solution design Collaborate and work closely with the customer Cisco leader daily basis for review Design and build scalable APIs using FastAPI. Utilize Large Language Models (LLMs) for Generative AI-based application development, applying fine and dynamic prompting techniques to optimize AI responses. Develop and maintain LangGraph Langchain agents to orchestrate complex AI workflows and agentic automation. Implement robust asynchronous event handling and improve system resilience with retries, backoff, and failure recovery patterns. Review and leads developers’ code for best practices and efficiency day to day Set up error handling, monitoring, and logging standards, including observability for LLMs and AI workflows. Implement OAuth2.0 and JWT validation security mechanisms. Deploy and manage code on OpenShift containers, ensuring containerized application scalability and reliability.

Experience in Python (FastAPI). Experience in FAISS ,Vector DB Proficiency in JavaScript for backend and lightweight frontend support (excluding React JS). Strong grasp of RESTful APIs integration and WebSocket communication. Expertise in Large Language Models (LLMs) usage, including fine and dynamic prompt engineering for Generative AI applications. Hands-on experience with LangGraph Langchain agents for building and orchestrating AI workflows. Experience with Redis (cache, streams, pub/sub patterns) for real-time chat handling. Experience with OAuth2.0 / JWT based API security. Good understanding of event-driven architectures and asynchronous programming (async/await). Experience working with relational or NoSQL databases (Teradata, MongoDB, SOLR, etc.). Ability to optimize system performance (scalability, fault tolerance). Familiarity with containerized application deployment on OpenShift, including CI/CD pipelines and automation tools.