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 up-to-date 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 modern 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: Strong 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, Mistral, or equivalent foundation models.
- Databases: SQL, NoSQL, and Vector Databases (Pinecone, Qdrant, ChromaDB, Weaviate, Milvus).
- Backend Development: FastAPI, Flask, REST APIs, and microservices.
- Cloud DevOps: Docker, Kubernetes, Git, CI/CD, AWS, Azure, or GCP.
- System Design: Ability to design scalable, production-ready AI architectures.
- Performance Optimization: Experience optimizing AI applications for latency, cost, scalability, and reliability.
- Leadership: Ability to mentor junior engineers and drive technical excellence.
- Communication: Excellent verbal and written English communication skills with the ability to explain technical concepts to clients and stakeholders.
- Problem Solving: Strong analytical thinking, debugging, and decision-making skills.

Disclaimer: This has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 Sr . Generative AI Engineer (Ahmedabad)
🏢 Neura Monks
📍 Ahmedabad