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Posted 17 June, 2026

Agentic AI Engineer

Tata Consultancy Services
Bengaluru, KA, IN Full Time
Reference: cbeccb70f7d0921d

Job Description

Dear Candidates,

Greetings from TCS!!!

TCS is looking for Agentic AI Engineer

Experience: 5-10 years

Location: PAN India


Required Technical Skill Set: AWS GenAI Engineer (Prompt engineering, Python, Bedrock)


MUST HAVE SKILLS:


  • Deep learning techniques such as GPT, VAE, and GANs.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
  • Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong programming skills in Python, Java, or C++.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Solid understanding of data structures, algorithms, and statistics.
  • Proficiency in model development, training, and evaluation.
  • Familiarity with deep learning, NLP, and computer vision.
  • Experience with data preprocessing, feature engineering, and model deployment.


GOOD TO HAVE:

Knowledge of Generative AI, LLMs, and transformer architectures.


ROLES AND RESPONSIBILITIES:


  • Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE (Variational AutoEncoders), and GANs (Generative Adversarial Networks).
  • Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
  • Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
  • Optimizing existing generative AI models for improved performance, scalability, and efficiency.
  • Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
  • Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
  • Contributing to the establishment of best practices and standards for generative AI development within the organization.
  • Providing technical mentorship and guidance to junior team members.

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