Role & responsibilities
Develop end-to-end scalable, optimized enterprise AI solutions.
Engage in prompt engineering and fine-tuning of AI/ML models, including Generative AI (GenAI) and Large Language Models (LLMs), as well as building and managing multi-agent systems.
Implement practical hands-on fine-tuning, transfer learning, and optimization of Transformer architecture-based deep learning models.
Proficient in Agentic AI, GenAI, and LLM technologies, with experience in NLP tools such as Word2Vec, NLTK, SpaCy, BERT, GloVe, Autogen, Semantic Kernel, Lang chain, and Langraph.
Hands on development experience with development of AI agents.
Robust programming skills in Python,



with experience in frameworks such as Flask for lightweight applications and FastAPI for API development.

Preferred candidate profile
Experience with NoSQL, SQL, and vector databases.
Solid understanding of statistical methods and experimental design.
Familiarity with MLOps practices for continuous integration and continuous deployment (CI/CD) in machine learning.
Experience in prompt fine tuning and performance optimization .
Experience using Python Memory management tools like Scalene or Filprofiler or similar.
Experience in any of the Frameworks like Langchain, Langraph etc

📌 Ai & Gen Ai Engineer Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru