Applied AI Engineer

Applied AI Engineer

Part-time / Contract · Remote

Before You Apply

We do not care much about your résumé, degree, title, or traditional career path.

What matters is whether you have real technical depth, strong ownership, curiosity, and the ability to figure things out independently.

If you’re interested, email hr@devable.ai with just two things:

• A short overview of your experience: what you’ve worked on, what you’ve built, and the kind of technical problems you’ve handled.
• A short introduction explaining why you think you would be a strong fit for this role.

That’s it.

We care much more about what you’ve actually done and how relevant your experience is than a polished application.

High Agency Matters

This is probably the most important part of the role.

We don’t want someone who waits for a detailed brief before starting.

If we give you a company, product, or technical area, you should be able to understand it, research the ecosystem around it, try it yourself, identify what is technically interesting, notice where the market is moving, propose ideas we haven’t thought of, and independently push the work forward.

We want someone who naturally explores.

Someone who sees a new model, framework, research result, or developer workflow and thinks:

What changed here? Why does it matter? What can we build with it? What should developers know about it?

About Devable

Devable works with AI-native developer tools, infrastructure companies, and technical platforms on developer growth, technical content, and distribution.

We work closely with companies building across AI infrastructure, models, agents, developer tools, search, and emerging AI systems.

We’re looking for an Applied AI Engineer who can strengthen the technical layer behind that work.

The Role

This is not a traditional content role.

We need someone who is technically strong enough to understand complex AI products quickly, work hands-on with them, stay close to what is changing across the AI ecosystem, and help us identify technically interesting ideas worth building, testing, and talking about.

You’ll work alongside our content and growth team, but your responsibility is the technical depth behind the work.

That could mean understanding a new inference system one week, testing an agent framework the next, reviewing a client’s technical material, or proposing a small project that demonstrates something genuinely useful to developers.

What You’ll Do

• Deeply understand the products, APIs, infrastructure, research, and developer tooling of the companies we work with.
• Test products, SDKs, models, APIs, repositories, and developer workflows rather than relying only on documentation.
• Build small prototypes, demos, experiments, and technical projects where they help demonstrate a client’s technology.
• Review technical content and make sure the underlying reasoning, architecture, terminology, and claims are accurate.
• Work with our team to identify technically strong angles, developer use cases, experiments, and project ideas.
• Stay consistently up to date with what is happening across AI engineering: models, inference, agents, evals, developer tools, infrastructure, open source, and emerging technical patterns.
• Understand what developers are currently experimenting with, discussing, struggling with, and adopting.
• Bring those observations back into our client work and proactively suggest opportunities we should explore.
• Join conversations with client engineers, researchers, or technical teams when deeper context is needed.
• Help our content team understand complex technical subjects without needing constant founder involvement.

What We’re Looking For

We’re looking for someone with strong hands-on engineering experience, ideally across applied AI, ML engineering, AI infrastructure, or developer tooling.

Years of experience alone are not the bar. Technical judgment, ownership, and what you have actually built matter much more.

You should be comfortable with:

• Python and modern AI development
• LLMs and open-source models
• model APIs and SDKs
• agents and tool use
• RAG, search, and evaluation systems
• inference and serving concepts
• cloud and developer infrastructure
• quickly understanding unfamiliar technical systems

Experience with GPU infrastructure, distributed systems, Kubernetes, model serving, or AI infrastructure is a strong plus.

Writing

Strong writing is a plus, but it is not a requirement.

We already have a content team that handles writing, editing, structure, and distribution.

What matters much more is that you can communicate technical ideas clearly enough for the team to work from your thinking.

Your value is the engineering depth, technical judgment, curiosity, and original thinking behind the work.

Engagement

This is a part-time contractual role, not a full-time position.

We’d like to start with a focused engagement and see how we work together before expanding the scope.

The role will involve ongoing technical support across a small number of technically demanding client projects.

We care much more about ownership and quality of work than tracking hours.