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.
Strong 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