Senior AI Engineer

Obin AI; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Obin AI is hiring AI Engineers to build and scale intelligent agents from day one. You’ll work directly with the founders to own technical decisions and craft production-ready backend systems that connect to customer platforms.

The role emphasizes designing LLM-powered agents, multi-agent orchestration, and performance optimization, with close collaboration with credit-firm customers to tie AI solutions to ROI.

Qualifications

• 6-10+ years of software engineering experience.
• 1-2+ years building LLM-based agents and/or RAG systems in production.
• Experience with multi-agent orchestration and LLM latency optimization.
• Proficiency in Python and cloud infrastructure (GCP preferred).
• Experience with cloud infra and APIs.

Responsibilities

• Designing and deploying LLM-powered agents.
• Working with customers to identify ROI-driven AI solutions.
• Owning production backend systems and APIs for data sources and platforms.
• Balancing accuracy, latency, and cost with rigorous experimentation.
• Defining core platform architecture and reusable infra for deployment.

Skills

LLM orchestration

System architecture

Python programming

Cloud infrastructure

Communication skills

Tools

GCP

Vector DB

LlamaIndex

Claude Agent SDK

APIs

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:

● 6-10+ years of software engineering experience

● 1-2+ years of hands-on experience building LLM-based agents and/or RAG systems in production

● Builds multi-agent orchestration (agent-to-agent handoffs), RAG systems and vector DB routing; optimizes LLM latency and inference cost; contributes to eval/guardrail frameworks. 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

PIe9fb6245af4c-37528-41579818