AI/ML Lead Engineer
Core
Design and implement production-grade multi-agent systems and agentic platforms for financial advisors to simplify work, generate portfolio insights, and automate client servicing workflows.
Role type
Senior IC AI/ML Lead Engineer (Multi-Agent Systems)
Builds
Scalable multi-agent platform, advisor-facing AI tools, and automated workflow agents for asset management.
Domain
Financial Services / Asset Management / Generative AI
Deliverable
production ML models | product features
Required skills
Python, distributed systems/microservices, LLM/GenAI/agent-based systems, multi-agent frameworks (LangChain, tool orchestration), vector databases (Pinecone, FAISS), RAG architectures, observability/monitoring, fault-tolerant systems.
Preferred skills
Financial services domain (asset management/wealth management), AI evaluation frameworks (hallucination mitigation, groundedness), multi-agent systems at scale, model serving, containerization (Docker/Kubernetes), cloud platforms (AWS/Azure/GCP).
Technologies
LangChain, OpenAI function/tool 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 for agent execution with strong observability; Embed AI agents and chatbots into client-facing platforms; Establish evaluation frameworks for multi-step reasoning accuracy and financial correctness; Optimize systems for latency, cost efficiency, and reliability.
Seniority
Senior, hands-on IC