Generative AI / Agentic AI Engineer (Full Stack AI) Experience: 5-15 Years

Location: Hyderabad | Bengaluru | Pune | Chennai | Gurgaon (Hybrid)

Compensation: Open (Best in Industry)

Industry: Consulting | AI Transformation | Digital Engineering About the Role We are looking for passionate Generative AI & Agentic AI Engineers to join a leading Big 4 Technology Consulting Practice. This role is ideal for engineers who enjoy building intelligent applications powered by Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and modern cloud-native architectures. You will work with global enterprise clients to design and implement AI-powered assistants, autonomous agents, enterprise knowledge systems, AI workflows, and next-generation digital experiences that drive measurable business outcomes.

Depending on experience, candidates will be aligned as Senior AI Engineer, Technical Lead, AI Solution Architect, or Engineering Manager. Key Responsibilities

Generative AI Solution Development

Design and develop enterprise-grade Generative AI applications.

Build conversational AI platforms, copilots, virtual assistants, and intelligent automation solutions.

Develop and optimize RAG pipelines using vector databases and enterprise content sources.

Implement prompt engineering, context management, grounding, and response optimization techniques.

Integrate LLMs with enterprise systems, APIs, databases, and business workflows.

Agentic AI Development

Build autonomous and semi-autonomous AI agents capable of planning, reasoning, and executing actions.

Develop multi-agent systems for complex business workflows.

Implement tool calling, memory management, orchestration, and agent collaboration patterns.

Design agent evaluation frameworks and guardrails for enterprise use cases.





Build workflow-driven AI solutions using agent frameworks and orchestration platforms.

AI Engineering & Architecture

Design scalable AI architectures for production deployment.

Develop AI microservices and API-driven integrations.

Build reusable AI components, prompt libraries, and enterprise accelerators.

Ensure security, governance, observability, and compliance across AI solutions.

Client & Consulting Responsibilities

Work directly with business stakeholders to identify AI opportunities.

Conduct discovery workshops and solution design sessions.

Translate business requirements into scalable AI architectures.

Guide clients through AI adoption and enterprise transformation initiatives.

Required Technical Skills

Programming

Python (Mandatory)

JavaScript / TypeScript

REST APIs

Microservices Architecture

Generative AI

OpenAI / Azure OpenAI

Gemini / Claude / Open Source LLMs

Prompt Engineering

Function Calling / Tool Calling

LLM Evaluation

Fine-Tuning Concepts

RAG & Knowledge Systems

LangChain

LlamaIndex

Semantic Search

Embedding Models

Vector Databases

Agentic AI

AutoGen

LangGraph

CrewAI

Semantic Kernel

Multi-Agent Architectures

Agent Orchestration

Databases

MongoDB

PostgreSQL

Vector Databases (Pinecone, Weaviate, ChromaDB, Azure AI Search)

Cloud & DevOps

Azure (Preferred)

AWS / GCP

Docker

Kubernetes

CI/CD Pipelines

GitHub Actions / Azure DevOps

AI Operations

LLMOps

Prompt Management

Monitoring & Observability





Model Evaluation

AI Governance

Responsible AI Practices

Experience-Based Expectations Senior AI Engineer (5-8 Years)

Build and deploy AI-powered applications.

Develop RAG and Agentic workflows.

Integrate LLMs into enterprise systems.

Optimize prompts, costs, and performance.

Technical Lead (8-12 Years)

Lead AI engineering teams.

Define architecture and implementation patterns.

Review solution designs and deployment strategies.

Mentor AI engineers and developers.

AI Solution Architect / Engineering Manager (12-15 Years)

Drive enterprise AI transformation programs.

Architect large-scale AI platforms.

Engage with CXOs and business stakeholders.

Lead presales, proposals, and AI strategy initiatives.

Preferred

Qualifications

B.E./B.Tech/M.Tech in Computer Science, AI, Data Science, or related disciplines.

Experience delivering AI solutions in enterprise environments.

Exposure to Consulting, Big 4, GCC, Product Engineering, or Digital Transformation programs.

Azure AI Engineer, Azure OpenAI, AWS AI, or equivalent certifications are highly desirable.

Experience with Microsoft Copilot, AI Agents, and Enterprise Search platforms is a strong advantage. What You'll Get

✅ Work on cutting-edge GenAI and Agentic AI programs

✅ Exposure to Fortune 500 clients and enterprise-scale AI adoption

✅ Opportunity to design next-generation AI platforms and copilots

✅ Rapid-tracked growth into AI Architect and AI Leadership roles

✅ Collaboration with global AI experts and innovation teams #Hiring #GenerativeAI #AgenticAI #AIEngineer #LLM #RAG #LangChain #LangGraph #OpenAI #AzureOpenAI #SemanticKernel #CrewAI #PythonDeveloper #AIArchitect #ArtificialIntelligence #Big4 #TechnologyConsulting #DigitalTransformation

📌 Generative AI / Agentic AI Engineer (Full Stack AI) (India)
🏢 ZettaMine Labs
📍 India