Gen AI Engineer

ob Description: Generative AI / Agentic AI Engineer (5-14 Years)

Job Title: Senior Generative AI / Agentic AI Engineer

Experience: 5-14 Years

Location: Bangalore

Role Overview

We are seeking experienced Generative AI and Agentic AI professionals with 5-14 years of overall IT experience to architect, design, and implement enterprise-scale AI solutions. The ideal candidate should possess strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-based AI services to build intelligent, autonomous, and scalable AI applications.

Key Responsibilities

• Design and develop enterprise-grade Generative AI and Agentic AI solutions.
• Build AI-powered assistants, copilots, chatbots, and autonomous agent workflows.
• Develop and optimize RAG pipelines using vector databases and enterprise knowledge repositories.
• Create multi-agent systems capable of reasoning, planning, task execution, and orchestration.
• Integrate LLMs with internal applications, APIs, databases, and third-party systems.
• Implement prompt engineering, prompt optimization, and AI response evaluation techniques.
• Collaborate with business stakeholders to identify high-value AI use cases and solution architectures.
• Ensure AI security, governance, compliance, and responsible AI practices.
• Monitor, troubleshoot, and continuously improve AI application performance and accuracy.
• Mentor junior engineers and contribute to AI best practices and innovation initiatives.

Required Technical Skills

Generative AI & LLMs

• Hands-on experience with GPT, Claude, Gemini, Llama, Mistral, or similar LLMs.
• Strong understanding of:
• Prompt Engineering
• Fine-Tuning Concepts
• Embeddings
• RAG Architecture
• LLM Evaluation Frameworks

Agentic AI

Experience with one or more of the following:

• LangChain
• LangGraph
• CrewAI
• Microsoft Semantic Kernel
• AutoGen
• LlamaIndex

Programming

• Python (Mandatory)
• REST APIs
• FastAPI / Flask
• JavaScript or TypeScript (Good to Have)

AI & Cloud Platforms

• Azure OpenAI
• Azure AI Foundry
• AWS Bedrock
• Google Vertex AI
• OpenAI APIs

Vector Databases

• Pinecone
• ChromaDB
• Weaviate
• FAISS
• Azure AI Search

DevOps & Deployment

• Docker
• Kubernetes
• Git/GitHub
• CI/CD Pipelines

Required Qualifications

• Bachelor's or Master's Degree in Computer Science, Engineering, AI, Data Science, or related fields.
• 5-14 years of overall software development or engineering experience.
• Minimum 2+ years of hands-on experience in Generative AI, LLMs, or AI application development.
• Experience building production-grade AI applications and integrating them into enterprise environments.
• Strong understanding of Machine Learning, NLP, and software design principles.

Preferred Qualifications

• Experience building AI Agents and Multi-Agent Systems.
• Experience with AI governance, security, and compliance frameworks.
• Exposure to MLOps/LLMOps practices.
• Experience with Azure AI Foundry, Copilot Studio, or enterprise AI platforms.
• Relevant certifications in Azure AI Engineer, AWS Machine Learning, Generative AI, or related technologies.

Must-Have Skills

• Generative AI
• Agentic AI
• LLMs
• RAG
• Prompt Engineering
• Python
• LangChain/LangGraph/CrewAI
• Azure OpenAI/AWS Bedrock/Vertex AI
• Vector Databases

Good-to-Have Skills

• Semantic Kernel
• AutoGen
• Copilot Studio
• AI Foundry
• MLOps / LLMOps
• Fine-tuning & Model Evaluation
• Multi-Agent Architectures