Forward Deployed AI Product Builder

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 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.

Responsibilities

• Build agentic systems using LLMs and RAG to automate complex credit workflows. This includes prompt design, tool use, orchestration logic, and system evaluation.
• 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.
• Own production infrastructure, architecting and maintaining backend systems and APIs that connect to data sources and customer platforms. Ensure high availability, performance, and observability.
• Evaluate and optimize systems balancing accuracy, latency, reliability, cost, and explainability in our agentic systems.
• Lead rigorous experimentation and improvement cycles.
• Contribute to core platform design, defining technical architecture, building reusable infrastructure for agent deployment, and shaping the foundation of Obin’s AI engineering best practices.
• Set culture and standards, helping define Obin’s engineering culture, hiring bar, and long-term technical roadmap.

Requirements

• 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

Qualifications

• 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 tooling

Skills

• Deep curiosity
• Pragmatism
• Engineering excellence

Benefits

In addition to the Base salary, this position is also eligible for a annual performance bonus and comprehensive benefits.