Position: AI Engineer

Experience: 5-10 Years

Location: Bangalore

Notice Period: Immediate Joiner / Up to 30 Days

Job Summary :

We are seeking a highly skilled AI Engineer with hands-on experience in Python, Agentic AI, Generative AI, RAG (Retrieval-Augmented Generation), Machine Learning, and Large Language Models (LLMs) on any major cloud platform. The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI solutions leveraging modern GenAI technologies.

Key Responsibilities :

- Design and develop AI/ML solutions using Python and modern AI frameworks.
- Build and implement Agentic AI systems leveraging LLMs and autonomous workflows.
- Develop and optimize RAG-based applications integrating vector databases and enterprise knowledge sources.
- Deploy and manage AI solutions on cloud platforms such as Azure, AWS, or GCP.
- Fine-tune, evaluate, and optimize Large Language Models for business use cases.
- Integrate GenAI solutions with enterprise applications and APIs.
- Work closely with cross-functional teams to translate business requirements into AI-driven solutions.
- Ensure scalability, security,



and performance of AI applications.
- Stay updated with emerging trends in GenAI, Agentic AI, and Machine Learning technologies.

Required Skills :

- Solid programming experience in Python.
- Hands-on experience with Generative AI, Agentic AI, and RAG architectures.
- Solid understanding of Machine Learning concepts and model development.
- Experience working with LLMs such as OpenAI, Claude, Gemini, Llama, Mistral, etc.
- Knowledge of vector databases like Pinecone, ChromaDB, FAISS, or Weaviate.
- Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
- Hands-on experience with Azure OpenAI, AWS Bedrock, Vertex AI, or any cloud-based AI platform.
- Experience in API development and integration.
- Good understanding of prompt engineering and AI model evaluation techniques.

Preferred Skills :

- Experience with MLOps and AI model deployment pipelines.
- Knowledge of Kubernetes, Docker, and CI/CD for AI workloads.
- Familiarity with NLP, embeddings, and semantic search technologies.

📌 AI Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru