Job Description:
• 5+ years of experience in AI/ML development, including expertise in GenAI, LLMs, and agentic AI frameworks.
• Strong proficiency in Python, LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, Pydantic, n8n, or similar agentic AI tools.
• Experience with LLM fine-tuning, prompt engineering, model deployment and evaluation techniques.
• Hands-on experience with RAG architectures, vector databases (Pinecone, Weaviate etc), and embeddings.
• Proficiency in cloud AI services (GCP, Azure, AWS) and MLOps frameworks for scalable deployment.
• Understanding of banking/financial services AI applications, compliance, and risk management considerations.
• Strong problem-solving skills, ability to work in cross-functional teams, and a passion for AI innovation
Preferred Qualifications/Experience:
• Design and Development of Agentic AI Systems: Develop and implement agentic AI frameworks, including planning, reasoning, and action execution, to solve complex business problems.
• Machine Learning and Deep Learning: Apply machine learning and deep learning techniques to enhance agentic AI capabilities and improve model performance.
• Experience with building and deploying production-ready agentic AI systems.
• Create new tools, agents and provide reference implementations for various AI agentic patterns
• Solid understanding of MCP and must have built and used tools conforming to this standard
Any Graduate