AI Developer job description.
An AI Developer designs, builds, and deploys artificial intelligence and machine learning applications, from model development through integration into production systems. They work with data scientists and engineers to translate business problems into functional AI-driven solutions and maintain model performance over time.
The AI Developer job description · $29
The full editable .docx — role summary, 8 worked responsibilities, qualifications, and skills, formatted for your letterhead. Delivered to your inbox within 24 hours — usually instantly.
Role: AI Developer Reports to: Engineering Manager or Head of AI
An AI Developer designs, builds, and deploys artificial intelligence and machine learning applications, from model development through integration into production systems. They work with data scientists and engineers to translate business problems into functional AI-driven solutions and maintain model performance over time.
- Design, build, and train machine learning and AI models
- Integrate AI models into applications and production systems
- Collaborate with data scientists and engineers on data pipelines and features
What's inside the document.
One-paragraph plain-English explanation of the role's outcome and scope.
8 responsibilities phrased the way the work is actually done.
4 qualifications a candidate must have to perform on day 30.
3 qualifications that would make a candidate excellent in year two.
5 skill chips you can copy directly into your ATS.
Engineering Manager or Head of AI
A complete document set.
- Word document (.docx) — fully editable
- PDF — signature-ready
- Google Docs — one-click copy to your Drive
- 12 months of updates to this document
- Commercial-use licence for internal and client work
The work, not the title.
- Design, build, and train machine learning and AI models
- Integrate AI models into applications and production systems
- Collaborate with data scientists and engineers on data pipelines and features
- Evaluate and select appropriate algorithms and frameworks for use cases
- Monitor deployed models for performance, drift, and accuracy
- Write clean, testable, and well-documented code
- Stay current with advances in AI/ML tools and techniques
- Communicate technical findings and tradeoffs to non-technical stakeholders
Required — and what would make a candidate excellent.
- Bachelor's degree in computer science, data science, or related field
- 3+ years of experience building AI/ML applications
- Proficiency in Python and common ML frameworks (TensorFlow, PyTorch, etc.)
- Understanding of model evaluation, deployment, and monitoring practices
- Experience with large language models or generative AI
- Cloud platform experience (AWS, Azure, GCP)
- Master's degree or equivalent research experience
Eight steps from download to publish.
- 01Open the AI Developer job description in Word or your one-click Google Docs copy.
- 02Replace placeholders for company name, reporting line, and location with your specifics.
- 03Tighten the summary to one paragraph that names the team's outcome, not just the role.
- 04Edit the responsibilities to match the actual scope of the seat — aim for 6 to 8 items, not 12.
- 05Separate required qualifications from preferred. Required is what a candidate must have to do the work on day 30; preferred is what would make them excellent in year two.
- 06Add salary range guidance using BLS, Payscale, or your own band data — do not copy generic figures.
- 07Have the hiring manager and one peer read it. Cut anything that wouldn't survive a candidate question.
- 08Publish to your ATS, intranet, and external careers page.
The right document at the right moment.
Use this AI Developer job description any time you are opening or reopening a seat at this level. The mid band sets the calibration — copy the document, tighten it to your specific scope, and circulate to the hiring panel before the first interview.
The reporting line (Engineering Manager or Head of AI) and skills list are starting points. Override either if your org structure or stack differs from the norm — the template is a draft, not a contract.
Honest answers before you download.
- Is an AI Developer the same as a Machine Learning Engineer?
- The roles overlap significantly; AI Developer is often a broader title covering model development and application integration, while ML Engineer can emphasize production infrastructure.
- What experience level is typical for this role?
- Most postings target candidates with a few years of hands-on AI/ML development experience, though requirements vary widely by company size and product maturity.
Other documents in this neighbourhood.
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Machine Learning Engineer
A machine learning engineer designs, builds, and deploys models and systems that enable software to learn from data.
Software Engineer
A Software Engineer designs, builds, and maintains software systems.
This AI Developer job description is a professionally drafted starting point for your hiring process and is not legal advice. Hiring practice varies by jurisdiction (e.g. pay-transparency laws differ across US states and AU jurisdictions). Adapt this document for your specific location and have employment counsel review any clauses you add before publishing. Salary varies by region, employer type, and experience. Reference BLS or current industry surveys for ranges. Full disclaimer.