G5 - AI Engineer

Key Responsibilities :

- Develop end-to-end scalable and optimized enterprise AI solutions.

- Perform prompt engineering and fine-tuning of AI/ML models, including Generative AI (GenAI) and Large Language Models (LLMs).

- Build and manage multi-agent AI systems.

- Implement hands-on fine-tuning, transfer learning, and optimization of Transformer-based deep learning models.

Tech Stack :

- AI/ML : Word2Vec, NLTK, SpaCy, BERT, GloVe, AutoGen, Semantic Kernel, LangChain, LangGraph

- Programming : Python (Flask, FastAPI)

- Infrastructure : Docker, Kubernetes, Cloud (Azure/AWS/GCP)

- Data : SQL, NoSQL, Vector Databases

- Tools : Scalene, Filprofiler, Python-pptx, PyMuPDF

Requirements :

- Strong expertise in Agentic AI, GenAI, and LLM technologies.

- Experience in development of AI Agents and Multi-Agent Systems.

- Knowledge of MLOps, CI/CD, and ML deployment practices.

- Understanding of statistical methods and experimental design.

- Hands-on experience integrating OpenAI GPT models with Python applications.