AI Engineer

**The Role:**We're looking for **AI Engineers** who can help us build and scale intelligent agents from the ground up. You’ll join our team as one of our earliest hires. You'll work directly with the founders (ex-Google) and own key technical decisions from day one.**You’ll be**● **Designing and Deploying LLM-Powered Agents**Build agentic systems using LLMs and RAG to automate complex credit workflows.

This includes prompt design, tool use, orchestration logic, and system evaluation.● **Working Directly with Customers**Partner with technical and non-technical stakeholders at major credit firms to understand workflow pain points and co-develop AI solutions that directly tie to ROI.● **Owning Production Infrastructure**Architect and maintain backend systems and APIs that connect to data sources and customer platforms. Ensure high availability, performance, and observability.● **Evaluating and Optimizing Systems**Balance accuracy, latency, reliability, cost, and explainability in our agentic systems. Lead rigorous experimentation and improvement cycles.● **Contributing to Core Platform Design**Define technical architecture, build reusable infrastructure for agent deployment, and shape the foundation of Obin’s AI engineering best practices.● **Setting Culture and Standards**Help define Obin’s engineering culture, hiring bar, and long-term technical roadmapWe believe great AI Engineers come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence.**Experience Required:**● 5–10 years of software engineering experience● Hands-on experience building LLM-based agents and/or RAG systems in production● Logging, evaluating, optimizing AI applications● Proficiency in Python and experience with modern AI/ML frameworks and cloud infrastructure (GCP preferred)● Experience with cloud infra (preferably GCP) and APIs● Hunger to move fast, own outcomes, and build something enduring● Strong intuition around system architecture, performance, and scaling● Clear communication, especially in ambiguous, high-stakes problem spaces**Bonus:**● Experience with human-in-the-loop systems, feedback loops, and long-horizon agentic task execution● Background in financial systems, risk modeling, or decision automation● Familiarity with PydanticAI, LlamaIndex, Google ADK, Claude Agent SDK, or similar frameworks● You’ve built or contributed to an internal AI platform or reusable LLM toolingLocation \*Years of experience \*Rate your familiarity with Claude code (1 - 4 with 1 being lowest) or other AI coding agents and explain. \*Single sentence description of your last project in building AI agents \* #J-18808-Ljbffr