Job
Core
Build AI-powered operational systems and agentic applications to improve efficiency, automation, and decision-making across the organization.
Role type
BizOps AI Developer (hands-on IC)
Builds
Production-grade AI agents, RAG pipelines, agentic workflows, backend services, and internal tools
Domain
Financial technology / Business Operations
Deliverable
production ML models
Required skills
Full-stack or backend development, RAG pipelines, LLM orchestration, agent frameworks (LangChain, LangGraph, Semantic Kernel), tool calling, structured outputs, cloud environments (Azure), system design
Preferred skills
Multi-agent systems, evaluation frameworks for LLM systems, vector databases, event-driven systems, BizOps domain knowledge
Technologies
LangChain, LangGraph, Semantic Kernel, Azure, Cursor, Claude Code
Responsibilities
Design, build, and deploy AI agents and applications end-to-end; Develop RAG pipelines including data ingestion, embeddings, and retrieval; Implement agentic workflows with tool-calling and multi-step reasoning; Build backend services and APIs; Contribute to frontend/internal tools embedding AI; Monitor and optimize systems for reliability and cost efficiency
Seniority
Mid-level, hands-on IC
