Senior AI Engineer
Core
Design, build, and maintain production-grade agentic AI systems, multi-agent orchestration, and tool integrations to offer compliant refund solutions at the point of purchase.
Role type
Senior AI Engineer (Agentic Systems & Infrastructure)
Builds
Agentic layer on top of platform APIs, MCP servers, RAG pipelines, and AI infrastructure
Domain
Fintech / Insurance / Embedded Refunds
Deliverable
production ML models
Required skills
Python, Backend Engineering (Django), Agentic AI Systems (LangGraph, LangChain), LLM Integration (Anthropic, OpenAI), RAG Pipelines, Vector Search, Model Context Protocol (MCP), LLM Evaluation Frameworks, AWS Infrastructure
Preferred skills
Compliance-sensitive industry background, High-volume LLM operations, Model fine-tuning, Open-source AI contributions
Responsibilities
Design and build multi-agent orchestration and specialist agents; Develop MCP servers and tool integrations; Orchestrate LLMs and manage prompt strategies; Build RAG pipelines for policy grounding; Implement compliance guardrails; Build evaluation frameworks for agent performance; Operate AI infrastructure on AWS with observability; Contribute to backend services and APIs in Python.
Seniority
Senior, hands-on IC
