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Open nowPosted 259 days ago

Agentic AI Engineer

Obin AI19 open roles

Where
NYC-Metro
Work mode
Hybrid
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Your applicationOpen nowAgentic AI EngineerObin AI · NYC-Metro

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 259 days ago

The posting

The Role:

We're looking for AI Engineers who can help us build and scale intelligent agents from the ground up. 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:

● 3-5+ 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

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