Agentic AI Engineer

Nyc-Metrofull-timemid

OtherMachine Learning EngineerDataAgentic Ai Engineer

4 views0 saves0 applied

Apply Now

Quick Summary

Overview

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

Technical Tools

OtherMachine Learning EngineerDataAgentic Ai Engineer

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

Base compensation range:

$150,000 - $180,000

Plus Annual Bonus + Equity

Location & Eligibility

Where is the job

Nyc-Metro

Hybrid, some on-site time required

Who can apply

Same as job location

About this job

Pay per year: $150,000–$180,000 a year; 21% below the $210,000 median for Machine Learning Engineer jobs on Jobera (888 salaries).
Posted: 256 days ago
Employer: has 18 open jobs on Jobera.