AI & Gen AI - Engineer

Job description

**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. - Strong 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