Description

Design, build, and deliver agentic AI systems for complex financial workflows.

This role is hybrid.

Responsibilities

• Architect and implement multi-agent orchestration for investment, risk, and compliance workflows.
• Build LLM-powered pipelines using advanced RAG, tool routing, and orchestration graphs.
• Develop Python-based microservices leveraging LangChain, Hugging Face, PyTorch, and FastAPI.
• Integrate systems with financial data sources (Bloomberg, Refinitiv) and risk engines.
• Implement trust, safety, and compliance guardrails for regulated environments.

Required Skills

• 10+ years of experience in AI architecture and engineering.
• Expert proficiency in Python and relevant frameworks.
• Deep knowledge of LLMOps and MLOps practices.
• Strong understanding of financial instruments, risk modeling, and regulatory controls.
• Proven ability to ship complex AI systems end-to-end.
• Experience with LangChain, Hugging Face, PyTorch, and FastAPI.
• Expertise in cloud-native deployment strategies.
• Ability to translate technical complexity to business clarity for senior stakeholders.

Key Skills

Education

Any Graduate