Overview
Hybrid
Depends on Experience
Full Time
Skills
RAG
LangChain
Hugging Face
PyTorch
FastAPI
Python
Job Details
This role combines deep technical execution with strategic communication you ll code, prototype, and lead conversations with senior stakeholders.
What You ll Do:
- Archite
ct and implement multi-agent orchestration for investment, risk, and compliance workflows. - Build LLM-powered pipelines with advanced RAG, tool routing, and orchestration graphs.
- Develop Python-based microservices using LangChain, Hugging Face, PyTorch, FastAPI.
- Integra
te with financial data sources (Bloomberg, Refinitiv) and risk engines. - Impleme
nt trust, safety, and compliance guardrails for regulated environments. - Lead client workshops, executive briefings, and solution roadmaps translate technical complexity into business clarity.
Must-Have:
- Expert in Python frameworks, LLMOps/MLOps, and cloud-native deployment.
- Strong knowledge of financial instruments, risk modeling, and regulatory controls.
- Proven ability to ship complex AI systems end-to-end and communicate with leadership.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.