Senior Applied AI Engineer
Core
Design, build, and ship customer-facing AI features end-to-end, including RAG systems and agentic workflows.
Role type
Senior Applied AI Engineer (LLM/RAG/Agentic)
Builds
Customer-facing LLM-based features and AI agents
Domain
Fintech / Business Spend Management
Deliverable
production ML models | product features
Required skills
Python, RAG system design, agentic workflows, LLM production deployment, evaluation pipelines, observability, data fluency, agent engineering
Preferred skills
AWS Bedrock, OpenAI APIs, Langfuse
Technologies
Python, RAG, LLMs, Claude Code, GitHub Copilot
Responsibilities
Design and implement RAG systems (chunking, embedding, retrieval, re-ranking); deploy LLM features to production; build evaluation and observability pipelines; reason about retrieval architecture; develop guardrails and verification layers for AI agents; mentor team members and share patterns.
Seniority
Senior, hands-on IC