Location: Gota, Ahmedabad (Work from Office)

Experience: 23 Years

Employment Type: Full-Time

Preferred Qualifications
Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field.
Experience building and deploying production-grade Generative AI applications.
Familiarity with MCP (Model Context Protocol), AI evaluation frameworks, observability tools, and MLOps.
Contributions to open-source projects, AI research, or technical publications are a plus.

Role Objective

Design, develop, and optimize cutting-edge Generative AI solutions that solve complex business challenges while delivering scalable, secure, and production-ready AI applications.

Key Responsibilities
Design, develop, and deploy Generative AI and LLM-based applications.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
Develop AI agents and multi-agent workflows using contemporary AI frameworks.
Integrate LLMs with enterprise applications, APIs, databases, and external tools.
Fine-tune prompts and optimize model performance, latency, cost, and accuracy.




Develop scalable backend services using Python, FastAPI, or Flask.
Implement vector search solutions using up-to-date vector databases.
Deploy AI applications using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Collaborate with Product, Engineering, and Business teams to deliver AI-driven solutions.
Mentor junior engineers through code reviews, technical guidance, and best practices.
Evaluate and adopt emerging AI technologies, frameworks, and research.
Ensure AI solutions follow security, scalability, and performance best practices.

Key Skills
Programming: Advanced Python programming and API development.
Generative AI: Robust knowledge of LLMs, Prompt Engineering, RAG, AI Agents, and Agentic AI.
AI Frameworks: Experience with LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or similar frameworks.
LLMs: Hands-on experience with OpenAI, Gemini, Claude, Llama, Mist

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