AI Engineer

About the Role

We need an AI Engineer who ships production AI systems — not prototypes. You'll build AI-powered backend services, autonomous agents, and intelligent integrations that directly impact lending decisions and operational efficiency.

What You'll Do

Build AI Systems

• Deploy AI agents for lending workflows — document verification, bureau analysis, risk assessment, customer communication
• Build MCP servers and tool integrations extending AI across internal systems
• Implement RAG pipelines over lending policies, regulatory docs, and knowledge bases
• Develop function-calling and tool-use patterns for safe LLM interaction with databases and APIs
• Build evaluation and guardrail frameworks to catch hallucinations and enforce compliance

Engineer the Backend

• Architect scalable services using Java, Spring Boot, and Python for production AI features
• Design schemas using SQL and NoSQL databases optimized for AI workloads
• Build RESTful APIs serving model inference at low latency and high throughput
• Integrate with credit bureaus, banking partners, and payment gateways

Code reviews for AI patterns and security, optimize token costs and latency, establish AI observability, and drive AI-assisted development (Cursor, Copilot) across the team.

Review and validate AI-generated code for correctness, security, and project standards. Build test suites, guardrails, and eval frameworks for prompts and agent behaviors — with continuous benchmarks, drift detection, and human-in-the-loop review before production.