Forward Deployed AI Engineer

Obin AI; New York (NY); On-site; USD 125,000 - 160,000; Full time

Benefits offered by this job

Annual performance bonus

Comprehensive benefits

Job summary

Obin AI in New York is seeking AI Engineers to build and scale intelligent agents. As an early hire, you will design and deploy LLM-powered agents, own production infrastructure, and collaborate directly with customers. Ideal candidates have 5-10 years of software engineering experience, hands-on experience with LLM-based systems, and proficiency in Python. The role offers a competitive base salary, annual performance bonus, and comprehensive benefits.

Qualifications

• 5-10+ years of software engineering experience.
• Hands-on experience building LLM-based agents and/or RAG systems.
• Proficiency in Python and experience with cloud infrastructure.

Responsibilities

• Design and deploy LLM-powered agents.
• Work directly with customers to co-develop AI solutions.
• Architect and maintain backend systems and APIs.

Skills

Software engineering experience

LLM-based agents and RAG systems

Proficiency in Python

Cloud infrastructure (GCP preferred)

System architecture intuition

Clear communication

Tools

Modern AI/ML frameworks

APIs

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 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.

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:

● 5–10+ 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

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

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

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