AI Engineer

Location: New York

*
* 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 roadmap

We 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, Llama Index, Google ADK, Claude Agent SDK, or similar frameworks
● You’ve built or contributed to an internal AI platform or reusable LLM tooling

Location  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  
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