GenAI Engineer
Tata Consultancy Services · Remote · onsite · Posted 28d ago
About a minute. You'll make an account on the way through.
About this role
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
- 6 years of AI/ML experience
Sourced from naukri
Skills
About TCS

Tata Consultancy Services
IT Services & Consulting
608.0k+
employees
1968
58 years old
Mumbai, Maharashtra
India
About
Industries
Employee ratings
1,14,115 reviews
Culture
3.2
Career growth
2.3
Work-life
3.5
Employees rate it well for
Find them on