Artificial Intelligence Engineer

Developers Incorporated
United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$90,000.0 - $130,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Programming Tools Distributed Systems Python (Programming Language) Reinforcement Learning Large Language Models Backend AI Platforms Machine Learning Operations Data Pipelines

Job description

  • Build and scale backend infrastructure powering a next-generation AI platform.
  • Design and optimise distributed systems and cloud infrastructure.
  • Develop AI and data pipelines that support frontier machine learning workflows.
  • Work directly with the founders to shape technical priorities and product direction.
  • Build internal tooling that improves scalability, reliability and engineering efficiency
  • Solve complex systems and infrastructure challenges in a fast-moving environment
  • Help establish engineering best practices as the company grows.

Tech Stack:

  • Python
  • AWS / GCP
  • Distributed Systems
  • AI/ML Infrastructure
  • LLM Tooling & Model Harnesses
  • Reinforcement Learning

Requirements

  • 3-8 years’ experience in a highly technical software engineering environment.
  • Strong backend engineering and distributed systems experience.
  • Experience building and scaling cloud infrastructure.
  • Exposure to AI/ML infrastructure or developer tooling.
  • Strong Python development experience.
  • A genuine passion for the rapidly evolving AI ecosystem.
  • The ability to work independently with a high level of ownership.

Experience from high-growth product companies, AI startups or large-scale technology organisations would be particularly valuable.

Benefits & conditions

Why Join?

  • Join as one of the earliest engineering hires with genuine influence over technical direction.
  • Work on challenging engineering problems at the forefront of AI infrastructure.
  • Collaborate directly with experienced founders in a small, high-calibre engineering team.
  • Build technology used by organisations operating at the cutting edge of artificial intelligence.
  • Join a business experiencing exceptional commercial growth with strong backing from world-class investors.

Package

  • $90,000-$130,000 base salary (flexible for exceptional candidates)
  • Equity options
  • Opportunity to shape the future of a rapidly growing AI business
  • Small, highly collaborative engineering team
  • Significant technical ownership and autonomy

If you’re excited by solving complex infrastructure challenges, love building scalable backend systems, and want to help define the future of AI, I’d love to speak with you.

About the company

I’m working with a well-funded AI startup that’s building infrastructure at the forefront of generative AI. Backed by leading venture capital firms, they’ve already achieved impressive commercial traction and are partnering with some of the world’s most advanced AI organisations

They’re now looking to hire a Founding Engineer who wants to help shape both the product and the engineering culture from the ground up.This is an opportunity to join early, work directly with the founders and solve complex engineering challenges across AI, distributed systems and large-scale data infrastructure.

The Opportunity

As one of the first engineering hires, you’ll have significant influence over technical direction, architecture and engineering standards while building systems that operate at the cutting edge of

AI. You’ll work across backend infrastructure, AI tooling and distributed systems, taking ownership of critical platform components and shipping quickly in a highly autonomous environment.

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:52 min

Structuring and scaling the backend engineering team

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Choosing between managed AI platforms and custom governance

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Applying software engineering environments and testing to data pipelines

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Using artificial intelligence to reimagine developer experience

Alexander Trusheim Alexander Trusheim +1 · World Congress 2025

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Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Choosing TypeScript for complex backend applications

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