Experience: 5+ years of professional experience in software development. 2+ years working with AI/ML, Generative AI, or intelligent automation solutions. Financial services experience preferred.
Programming: Strong proficiency in Python, SQL; Java is a plus.
AI/ML Expertise:
Experience working with Generative AI and LLM-based applications.
Knowledge of Prompt Engineering, RAG, embeddings, vector DBs, and agentic frameworks.
Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
Experience utilizing OpenAI, Azure, Anthropic, Gemini, Bedrock, or equivalent platforms.
Understanding of machine learning fundamentals and model evaluation technique.
Data Engineering: Experience designing and supporting data pipelines and data integration workflows.
Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges.
Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
Platforms: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Domain – Finance preferable
Collaboration – Able to collaborate within and across teams and organizations