TCS has been a great pioneer in feeding the fire of young techies like you. We are a global leader in the technology arena and theres nothing that can stop us from growing together.

What we are looking for

Role: AI Engineer – AWS/Google Gemini/ Azure (Generative AI / Applied AI)

Experience Range: 4 to 10 Years

Location: Chennai

Interview Date: 05th September 26 (09:00 AM to 12:00 PM)

Interview Venue: Gate 04, TCS Siruseri Campus,Plot No. 1, G‑1, SIPCOT Information Technology Park

Near Siruseri Special Economic Zone (SEZ), Navalur Post, Siruseri, Chennai – 603103, Tamil Nadu

Note-While coming for Walkin:-

· Please carry 2 or more copies of updated resume, 2 Passport size photo along with Govt ID proof(Xerox 2 copies)

· Please do not bring personal laptop or electronic gadgets to TCS premises.

Must Have:

Generative AI & LLMs

- Large Language Models (LLMs)
- Generative AI Applications
- Prompt Engineering
- Prompt Chaining
- Fine Tuning
- AI Agents & Autonomous Workflows
- Multimodal AI
- Model Evaluation & Optimization
- AI Safety & Governance

Google Gemini
- Google Gemini Models
- Vertex AI
- Gemini APIs
- Agent Builder
- Grounding & Knowledge Integration

Azure AI
- Azure OpenAI Service
- Azure AI Studio
- Azure Cognitive Services
- Azure AI Search
- Azure Machine Learning

AWS AI Services
- Amazon Bedrock
- Amazon SageMaker
- AWS Lambda
- API Gateway
- Amazon Kendra
- AWS AI/ML Services

RAG & Vector Databases
- LangChain
- LlamaIndex
- RAG Architecture
- Pinecone
- ChromaDB
- FAISS
- Weaviate
- Vector Search Optimization

Programming
- Python
- FastAPI
- Flask
- REST APIs
- SQL / NoSQL Databases
- Git & CI/CD

Positive to Have:





- Experience with OpenAI GPT Models, Claude, Gemini, Llama, Mistral.
- Knowledge of AI Agents, Agentic Frameworks, CrewAI, AutoGen, LangGraph.
- Experience in MLOps and LLMOps.
- Kubernetes and Docker expertise.
- Experience in data engineering and cloud-native architectures.
- Exposure to Responsible AI practices and model governance frameworks.

Essential:

- Design and develop Generative AI applications using OpenAI, Google Gemini, Azure OpenAI, and AWS Bedrock services.
- Build scalable AI/ML solutions leveraging foundation models and large language models (LLMs).
- Develop and optimize RAG-based architectures using vector databases and knowledge retrieval frameworks.
- Create intelligent chatbots, AI copilots, virtual assistants, and document processing solutions.
- Implement prompt engineering, prompt tuning, and model optimization techniques.
- Integrate AI services with enterprise applications, APIs, databases, and cloud platforms.
- Develop and deploy AI solutions using cloud-native services across AWS, GCP, and Azure.
- Fine-tune and evaluate foundation models for domain-specific use cases.
- Ensure AI applications meet performance, scalability, security, and governance requirements.
- Collaborate with business stakeholders, architects, data engineers, and development teams for AI adoption.
- Monitor model performance, hallucination rates, and AI system reliability.
- Stay updated with advancements in Generative AI, multimodal AI, agents, and autonomous workflows.

Minimum Qualification:

- 15 years of full-time education
- Minimum percentile of 50% in 10th, 12th, UG & PG (if applicable)

📌 AI Engineer – AWS/Google Gemini/ Azure (Generative AI / Applied AI) 05th Sep 26 Walkin Chennai
🏢 Tata Consultancy Services
📍 Chennai