Shape the future of enterprise solutions by designing, developing, and deploying cutting-edge AI and Generative AI applications. This role offers a unique opportunity to work with advanced technologies such as Large Language Models (LLMs), AI frameworks, APIs, Retrieval Augmented Generation (RAG), and cloud platforms. You will be instrumental in building scalable, production-ready AI applications that address complex business challenges.

This is an exciting hybrid role based in Ahmedabad, offering a chance to innovate and integrate intelligence across diverse enterprise use cases. Join a dynamic team and contribute to building the next generation of AI-driven solutions.

Spearhead the development and integration of AI/GenAI applications leveraging Python and contemporary AI frameworks. Construct sophisticated solutions utilizing LLMs, RAG, prompt engineering, and AI APIs. Engineer and optimize REST APIs and backend services tailored for AI applications. Implement and manage AI workflows with frameworks like LangChain, LangGraph, or LlamaIndex. Integrate vector databases and semantic search capabilities for enhanced knowledge retrieval. Seamlessly connect AI solutions with existing enterprise applications and data repositories. Conduct thorough model evaluation, optimization, testing, and troubleshooting. Foster close collaboration with Data Scientists, Architects, Product Owners, and Engineering teams. Manage the deployment of AI solutions using Docker, Kubernetes, and CI/CD pipelines.

A strong foundation in Python development is essential, complemented by hands-on experience with Generative AI and LLMs. Proficiency in RAG, embeddings, prompt engineering, and vector databases is crucial. Experience with AI orchestration frameworks such as LangChain, LangGraph, or LlamaIndex is required. Demonstrated ability in developing REST APIs using FastAPI, Flask, or similar tools. Solid understanding of SQL and NoSQL databases. Familiarity with cloud AI services from AWS, Azure, or GCP is expected. Knowledge of version control with Git, containerization with Docker, orchestration with Kubernetes, and CI/CD practices is necessary. Excellent problem-solving and communication skills are fundamental for success in this role.