GEN AI Engineer

About TATA Consultancy Services (TCS)

Tata Consultancy Services (TCS) (BSE: 532540, NSE: TCS) is a digital transformation and technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce of over 607,979 consultants in 55 countries and 180 service delivery centres across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients – helping them emerge as perpetually adaptive enterprises. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to Artificial Intelligence today.

TCS sponsors 14 of the world’s most prestigious marathons and endurance events, including the TCS New York City Marathon, TCS London Marathon and TCS Sydney Marathon with a focus on promoting health, sustainability, and community empowerment. TCS generated consolidated revenues of US $30 billion in the fiscal year ended March 31, 2025.

Kindly visit For more details.

Position: GEN AI Engineer

Work Location: Irving, TX / Tampa, FL / Edison, NJ (Onsite)

Yrs of Exp: 5+ Yrs.

Role: Full time / Permanent role

Job Description

Must Have Technical/Functional Skills

- Strong hands-on Python knowledge

- Hands-on experience in developing API Development in Python using FastAPI/ Flask framework

- Working experience in Data Processing, AI enabled workflows using python

- Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI.

- Basic knowledge of Hybrid prompting technique

- Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

Good to have:

- Working experience with Gemini LLM

- Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras

- Hands-On knowledge on NLP

- Understanding of model deployment and containerization (Docker).

- Understanding of version control systems (Git).

- Awareness of AI compliance, data privacy, and responsible AI principles

Roles & Responsibilities

- AI workflow development

- Prompt engineering

- Deployment and maintenance of AI models across all environments including Production.

- Code review, testing and documentation

- Continuous learning in Generative AI related fields