Machine Learning Engineer, AI Agents

Job Title: Machine Learning Engineer, AI Agents (Senior, Staff, & Principal level)

Compensation: $225,000 - $265,000 base salary + meaningful equity

Location: US Remote

Company Overview

A venture-backed technology platform building next-generation AI systems for complex, high-value workflows. The company operates across multiple product lines, applying generative AI to automate decision-making, streamline operations, and enhance user experiences in a large, data-rich industry. Backed by top-tier investors and led by experienced founders, the organization combines startup velocity with proven execution and a strong track record of building and scaling AI-driven products.

Role Summary

You will own the design and deployment of production AI systems end-to-end. This includes building multi-agent systems, designing orchestration frameworks, and developing scalable infrastructure for real-world applications.

This is not a research or experimentation role. You will be responsible for shipping reliable, observable systems that power user-facing products in production.

What You’ll Do

* Build and scale multi-agent systems powering copilots and workflow automation

* Design end-to-end AI architectures across retrieval, reasoning, tool use, and validation

* Develop orchestration frameworks, including memory, state management, and tool routing

* Own evaluation frameworks focused on reasoning quality, hallucination reduction, and correctness

* Deploy and maintain distributed, low-latency AI systems in production

* Contribute to platform-level decisions across model serving, infrastructure, and system design

What You’ll Bring

* Proven experience shipping LLM-powered or AI products into production environments

* Strong experience with multi-agent systems and orchestration frameworks

* Deep understanding of RAG, memory systems, and tool-calling architectures

* Hands-on experience with post-training techniques (LoRA, DPO, GRPO, or similar)

* Strong Python and distributed systems engineering background

* Experience building and operating systems in cloud production environments

* Ability to operate autonomously in a fast-paced, low-structure environment

Tech Stack

* Python, distributed systems, cloud infrastructure

* LLMs, RAG pipelines, agentic frameworks

* Vector databases, retrieval systems, orchestration layers

* Model fine-tuning (LoRA) and post-training optimization (RLHF variants)

Why Join?

* High ownership: direct impact on a core AI platform, not a single team or feature

* Builder environment: lean team with no separation between research and engineering

* Real-world impact: production systems solving complex, high-value problems

* Strong upside: meaningful equity with long-term growth potential

* Flexible scope: opportunity to shape both technical direction and platform architecture

About People In AI

People In AI is a specialist recruitment partner focused on connecting exceptional AI talent with leading-edge organizations. We operate with a commitment to excellence, transparency, and long-term partnership for both candidates and clients.