AI Engineer

AI Engineer.

Role: AI Engineer

Experience: 5 years to 10 years

Location: PAN India

Note-Virtual Interview on 13-Nov-2025

Interested candidates can send their resume on below mail ID along with below details-

geethanjali.u@tcs.com

Please share below details-

Full Name:

Email:

Contact Details:

Total Experience:

Current location:

Preferred location:

Relevant Experience:

Notice Period:

Current CTC:

Expected CTC:

Current Company Name:

Education or career gap (if any):

EP Reference Number (if already registered with TCS) –

Highest Qualification:

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Key responsibilities

1. Develop applications and systems that can help organizations increase efficiency, cut costs, increase profits, and make better business decisions.
2. Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
3. Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
4. Fine tuning the existing generative AI models for improved performance, scalability, and efficiency.
5. Knowledge about various fine-tuning methods.

Facilitate the development and deployment of proof-of-concept machine learning systems

Key skills

1. 5+ years of experience in implementation of AI (Gen AI) project.
2. a strong foundation in computer science, knowledge of machine learning algorithms, proficiency in programming languages like Python and scripting languages like SQL, NoSQL, Shell / PowerShell
3. and experience in data management and analysis.
4. Having experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
5. Having knowledge in Chat GPT, Open AI, Vector Database(Natural Language Processing),
   Prompt Engineering, RAG, Responsible AI, AI Guardrails , AI Observability
6. GenAI Frameworks

LangChain, LlamaIndex, DsPy, LangGraph

1. Backend Frameworks

Django REST, FastAPI

1. Hands on with cloud-based platforms and services, such as AWS, GCP, or Azure.
2. Cloud Knowledge

AWS, Azure Application and AI Services

(Azure Function App, API Management (APIM), Cosmos DB, PostgreSQL, Azure AI Foundry, Azure