AI/ML Lead Engineer
Core
Design and implement multi-agent systems and AI platforms for financial advisors to simplify work, generate portfolio insights, and automate workflows within a monitored, auditable architecture.
Role type
Senior IC AI/ML Lead Engineer (Multi-Agent Systems)
Builds
Scalable multi-agent platform, advisor-facing AI tools, and workflow automation agents for asset management
Domain
Financial Services / Asset Management / Generative AI
Deliverable
production ML models | product features
Required skills
Python, distributed systems, LLM/GenAI production deployment, agent frameworks (LangChain, tool calling), vector databases (Pinecone, FAISS), RAG architectures, observability, fault tolerance
Preferred skills
Financial services domain knowledge, AI evaluation frameworks, multi-agent system scaling, model serving, containerization (Docker/Kubernetes), cloud platforms (AWS/Azure/GCP)
Technologies
LangChain, OpenAI function calling, Pinecone, FAISS, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Design and implement production-grade multi-agent systems; Build agent workflows integrating context retrieval, reasoning, and compliance checks; Develop distributed services with strong observability; Embed AI agents and chatbots into client-facing platforms; Establish evaluation frameworks for reasoning accuracy and hallucination mitigation; Optimize systems for latency, cost, and reliability
Seniority
Senior, hands-on IC with leadership responsibilities