AI Engineer

Requirements

Must have:

- Masters degree in Computer Science or a related field - 5+ years of experience in Python and ML/data processing libraries (e.g., Pandas, Scikit-learn, PyTorch, Transformers) - 5+ years of experience with cloud platforms (preferably Azure), APIs, and microservices architecture - Proven experience building production-ready GenAI applications (e.g., LangChain, Semantic Kernel, Haystack) - Strong understanding of LLM integration, vector databases, and retrieval-augmented generation - Exposure to financial services is a plus - Team player with strong communication skills - Autonomous, pragmatic, and delivery-oriented mindset - Ability to multi-task and work in a fast-paced environment

Responsibilities:

- Build and deploy Generative AI applications using frameworks such as RAG pipelines, agentic workflows, and prompt engineering - Develop and maintain robust, scalable, and secure AI systems integrated into ...