Agentic AI Engineer

Obin AI; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Obin AI is seeking AI Engineers to help build and scale intelligent agents from the ground up in New York. You will work directly with the founders and own key technical decisions from day one.

You will design LLM-powered agents, work with customers to map ROI-driven AI solutions, and own the production backend that connects to data sources and customer platforms. This role emphasizes architecture, experimentation, and building reusable infra.

Qualifications

• 5+ years software engineering experience.
• 1+ years building LLM-based agents and/or RAG systems in production.
• Experience logging, evaluating, and optimizing AI applications.
• Proficiency in Python and experience with AI/ML frameworks and cloud infrastructure (GCP preferred).
• Experience with cloud infra (preferably GCP) and APIs.
• Hunger to move fast and own outcomes with strong system-architecture intuition.
• Clear communication in ambiguous, high-stakes spaces.

Responsibilities

• Design and deploy LLM-powered agents and RAG-based systems.
• Collaborate with customers to translate workflows into AI solutions.
• Own production infrastructure and maintain backend APIs.
• Balance accuracy, latency, cost, and explainability; run experiments.
• Contribute to core platform design and reusable deployment infra.
• Help define engineering culture, hiring bar, and long-term roadmap.

Skills

LLM Agents

Python

GCP

System Architecture

Production Systems

API Design

Tools

PydanticAI

LlamaIndex

Google ADK

Claude Agent SDK

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

• 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+ years of software engineering experience
• 1+ years of 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 tooling