Principal AI Engineer

Obin AI; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Obin AI is seeking AI Engineers to help build and scale intelligent agents from the ground up, with early-stage exposure and direct collaboration with founders (ex-Google). You’ll own key architectural decisions, design agentic systems with LLMs, and work with major credit firms to tie AI outcomes to ROI.

Production infrastructure and platform design are in scope. Ideal candidates have 10-15+ years of software engineering and 5-8+ years building AI/ML systems; strong Python, cloud, and

Qualifications

• 10-15+ years of software engineering experience.
• 5-8+ years hands-on experience building AI/ML systems, LLM-based agents, or RAG systems in production.
• Logging, evaluating, optimizing AI applications.
• Architect for agentic AI systems across products; solve ambiguous problems in non-deterministic environments.
• Proficiency in Python and modern AI/ML frameworks; cloud infrastructure experience (GCP preferred).
• Experience with cloud infra and APIs.
• Ability to move fast, own outcomes, and build enduring solutions.
• Strong system-architecture intuition for performance and scaling.
• Clear communication in ambiguous, high-stakes spaces.

Responsibilities

• Own agentic AI strategy across the product suite and set governance standards for evaluation, safety, and autonomy.
• Be a recognized technical authority in multi-agent systems; publish blueprints and architectures; represent the company externally.
• Design and deploy LLM-powered agents.
• Build agentic systems using LLMs and RAG to automate complex credit workflows, including prompt design and orchestration.
• Collaborate with customers and stakeholders at major credit firms to co-develop AI solutions tied to ROI.
• Own production infrastructure; architect and maintain backend systems and APIs with high availability and observability.
• Evaluate and optimize systems; balance accuracy, latency, reliability, cost, and explainability; lead experiments.
• Contribute to core platform design; define architecture and reusable deployment infra; shape engineering practices.
• Help define Obin’s engineering culture, hiring bar, and long-term technical roadmap.

Skills

Python

LLM agents

RAG workflows

AI/ML systems

System architecture

GCP

Cloud infra

Cross-functional

Job description

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

• Owning agentic AI strategy across the company's product suite; sets governance standards for agent evaluation, safety and autonomy.


• Recognized technical authority in multi-agent systems; publishes reusable blueprints/reference architectures; represents the company externally (conferences, open source, technical publications).


• 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:

• 10-15+ years of software engineering experience


• 5-8+ years of hands‑on experience building AI/ML systems/frameworks , LLM-based agents and/or RAG systems in production


• Logging, evaluating, optimizing AI applications


• Sets architecture for agentic AI systems across products; solves ambiguous problems inherent to non-deterministic systems (context pollution, runtime state handoffs, safety).


• Expert in agent-to-agent (A2A) orchestration protocols, self-correcting agent loops, prompt-routing middleware; drives AI safety/reliability practices and evaluation standards; mentors senior engineers.


• 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 tooling