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

✅ Quick-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