Gen AI Engineer

Tata Consultancy Services; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services in India is seeking a GenAI Engineer to design and deploy cutting-edge LLM-based applications. You will build RAG pipelines, optimize latency, and fine-tune models with LoRA/PEFT while managing vector stores like FAISS or Pinecone.

Ideal candidates have strong Python, ML frameworks, and experience with LangChain, embeddings, APIs, and microservices. This role emphasizes security, cost efficiency, and collaboration across teams.

Qualifications

• Degree in Computer Science, AI, or related field.
• 26 years of AI/ML experience

Responsibilities

• Design and build GenAI applications using LLMs.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Develop prompt engineering strategies.
• Fine-tune models using LoRA/PEFT techniques.
• Manage vector databases (FAISS, Pinecone).
• Optimize performance, latency, and cost.
• Ensure security and compliance.
• Collaborate with cross-functional teams.
• Strong Python skills.
• Knowledge of Transformers and LLMs.
• Experience with PyTorch/TensorFlow.
• Familiarity with LangChain/LlamaIndex.
• Understanding of embeddings and semantic search.
• Experience with RAG pipelines.
• APIs and microservices.
• Fine-tuning LLMs.
• Multi-modal AI models.
• ML Ops / CI-CD pipelines.
• GPU optimization.

Skills

Python skills

Transformers/LLMs

PyTorch/TensorFlow

LangChain/LlamaIndex

Embeddings/semantic search

RAG pipelines

APIs & microservices

ML Ops / CI-CD

GPU optimization

Cross-functional collaboration

Education

Bachelor's degree in CS/AI or related

Tools

FAISS

Pinecone

Azure OpenAI

Docker

Kubernetes

FastAPI

HuggingFace

Job description

Job Requirements*

• Design and build GenAI applications using LLMs
• Implement Retrieval-Augmented Generation (RAG) pipelines
• Develop prompt engineering strategies
• Fine-tune models using LoRA/PEFT techniques
• Manage vector databases (FAISS, Pinecone)
• Optimize performance, latency, and cost
• Ensure security and compliance
• Collaborate with cross-functional teams

Python, FastAPI, Hugging Face, LangChain, FAISS, Azure OpenAI, Docker, Kubernetes

Key Responsibilities*

• Strong Python skills
• Knowledge of Transformers and LLMs
• Experience with PyTorch/TensorFlow
• Familiarity with LangChain/LlamaIndex
• Understanding of embeddings and semantic search
• Experience with RAG pipelines

• AWS / Azure / GCP (Azure OpenAI preferred)
• Docker & Kubernetes
• APIs and microservices

• Fine-tuning LLMs
• Multi-modal AI models
• ML Ops / CI-CD pipelines
• GPU optimization

• Degree in Computer Science, AI, or related field
• 26 years of AI/ML experience