Description

You will own end-to-end solution design, lead code reviews, and manage the release pipeline for scalable AI applications.

This role is on-site.

Responsibilities

• Design and build scalable APIs using FastAPI and manage deployments on OpenShift containers.
• Develop and maintain LangGraph and Langchain agents to orchestrate complex AI workflows and agentic automation.
• Implement robust asynchronous event handling, including retries, backoff, and failure recovery patterns.
• Review and lead developer code for best practices, efficiency, and adherence to security standards like OAuth 2.0 and JWT.
• Set error handling, monitoring, and logging standards, including observability for LLMs and AI workflows.

Required Skills

• 10+ years of experience in Python with strong proficiency in FastAPI.
• Hands-on experience with Large Language Models (LLMs), including fine and dynamic prompt engineering for Generative AI.
• Proficiency in JavaScript for backend and lightweight frontend support.
• Experience with LangGraph and Langchain agents for building and orchestrating AI workflows.
• Strong grasp of RESTful APIs integration, WebSocket communication, and event-driven architectures.
• Experience with Redis (cache, streams, pub/sub patterns) for real-time handling.
• Familiarity with containerized application deployment on OpenShift, including CI/CD pipelines.
• Experience working with relational or NoSQL databases such as Teradata, MongoDB, or SOLR.
• Ability to optimize system performance for scalability and fault tolerance.

Preferred Skills

• Experience with FAISS and Vector Databases.
• Strong understanding of OAuth 2.0 and JWT validation security mechanisms.

Key Skills

Education

Bachelor's degree