Forward Deployed AI Engineer

The RoleWe'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 among a team if high caliber engineers and help some of the largest customers in Private Equity, Private Credit and Insurance in solving complex engineering challenges. You will own key technical decisions from day one.You’ll beDesigning and Deploying LLM-Powered AgentsBuild 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 CustomersPartner 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 InfrastructureArchitect and maintain backend systems and APIs that connect to data sources and customer platforms. Ensure high availability, performance, and observability.Evaluating and Optimizing SystemsBalance accuracy, latency, reliability, cost, and explainability in our agentic systems. Lead rigorous experimentation and improvement cycles.Contributing to Core Platform DesignDefine technical architecture, build reusable infrastructure for agent deployment, and shape the foundation of Obin’s AI engineering best practices.Setting Culture and StandardsHelp 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 Required5–10+ years of software engineering experienceHands-on experience building LLM-based agents and/or RAG systems in productionLogging, evaluating, optimizing AI applicationsProficiency in Python and experience with modern AI/ML frameworks and cloud infrastructure (GCP preferred)Experience with cloud infra (preferably GCP) and APIsHunger to move fast, own outcomes, and build something enduringStrong intuition around system architecture, performance, and scalingClear communication, especially in ambiguous, high-stakes problem spacesBonusExperience with human-in-the-loop systems, feedback loops, and long-horizon agentic task executionBackground in financial systems, risk modeling, or decision automationFamiliarity with PydanticAI, LlamaIndex, Google ADK, Claude Agent SDK, or similar frameworksYou’ve built or contributed to an internal AI platform or reusable LLM toolingIn addition to the Base salary, this position is also eligible for a annual performance bonus and comprehensive benefits.