Artificial Intelligence Engineer

Tata Consultancy Services; Pune District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tata Consultancy Services is seeking an AI Developer to join our Pune, India team. The role focuses on designing, developing, and deploying AI/ML and Generative AI solutions, with hands-on work on systems that leverage LLMs and AI frameworks.

You'll build applications using REST APIs, prompt engineering, LangChain, PyTorch, and cloud platforms, while collaborating with cross-functional teams to deliver scalable, production-ready solutions. Minimum 2 years of experience is required.

Qualifications

• 2+ years hands-on AI/ML development experience.
• Proficient in Python and ML fundamentals.
• Experience with LLMs, RAG, and vector databases.
• Familiar with LangChain, LlamaIndex, PyTorch or TensorFlow.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build applications using LLMs, prompt engineering, and AI frameworks.
• Develop REST APIs and integrate AI services into enterprise apps.
• Collaborate with cross-functional teams to deliver scalable, production-ready solutions.

Skills

Python

AI/ML fundamentals

LLMs & Prompting

RAG & Vector DBs

Cloud platforms

Communication

Tools

LangChain

LlamaIndex

PyTorch

TensorFlow

Hugging Face

Job description

We're looking for a talented AI Developer to join our growing team in Pune, India.

Key Responsibilities:

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build applications using Large Language Models (LLMs), prompt engineering, and AI frameworks.
• Develop REST APIs and integrate AI services into enterprise applications.
• Work with Python and popular AI/ML libraries (PyTorch, TensorFlow, LangChain, Hugging Face, etc.).
• Collaborate with cross-functional teams to deliver scalable, production-ready solutions.

Required Skills:

• At least 2 years of practical, hands-on experience in AI/ML and Generative AI development.
• Strong proficiency in Python and machine learning fundamentals.
• Hands-on experience with LLMs, RAG, vector databases, prompt engineering, and AI frameworks such as LangChain or LlamaIndex.
• Experience with cloud platforms (Azure, AWS, or GCP) is an advantage.
• Strong analytical, problem-solving, and communication skills.

Experience: Minimum 2 years of practical experience in AI Development.