Applied AI Engineer
Core
Build and ship end-to-end AI agents and intelligent product capabilities that automate complex finance workflows for mid-sized businesses.
Role type
Senior Applied AI Engineer (Product Engineering)
Builds
Production-ready AI agents, backend integrations, and customer-facing product features for finance teams.
Domain
Fintech / Financial Services
Deliverable
production ML models
Required skills
Python or Java, Agent orchestration (LangGraph, LangChain, LlamaIndex, Google ADK), RAG and context engineering, AI evaluation and observability, Backend API design, SQL and vector search, Cloud AI platforms (GCP, Vertex AI)
Preferred skills
Experience with MCP and knowledge graphs, Human-in-the-loop control design, Integration of ML models into production systems
Technologies
Google ADK, LangGraph, LangChain, LlamaIndex, RAG, MCP, Knowledge Graphs, Gemini, OpenAI, Anthropic, Llama, Mistral, Kafka, PostgreSQL, BigQuery, Vertex AI
Responsibilities
Design and build agents that automate complex finance workflows; Integrate agents deeply with backend services, APIs, and data models; Build systematic evaluations for agent quality and business impact; Apply context-engineering techniques like RAG and knowledge graphs; Collaborate with data scientists to integrate ML models into production systems.
Seniority
Senior, hands-on IC