An AI developer is a specialized engineer who designs, builds, and deploys artificial intelligence systems through machine learning and data-driven algorithms. They transform raw data into intelligent applications that can recognize patterns and automate decision-making across industries.
In this guide, you’ll find a ready-to-use AI developer job description template plus expert guidance on each section. You’ll learn how to highlight the right skills and structure requirements that attract qualified candidates. So, let’s get started!
Here’s a comprehensive template you can adapt for your AI developer job listing. It includes all core sections: company overview, role summary, detailed responsibilities, technical requirements, and application guidelines.
Each section contains flexible placeholders marked with {{ }} so you can adapt the content to match your specific AI developer role.
Job title: {{ Junior / Middle / Senior / Lead }} AI developer
Location: {{ Remote / Hybrid / Office-based in State/Country }}
Salary range: {{ $XX,000–$YY,000 }} annually {{ gross / net }}
Contract type: {{ Full-time / Part-time / Freelance }}
About the company
{{ Provide a 3-4 sentence overview of your organization with your industry focus, core products or services, team size, and mission. }}
AI developer job description summary
We’re looking for an experienced AI developer to {{ build / deploy / improve }} {{ AI-driven applications / machine learning models }} using {{ Python / R / Java / C++ }} and AI frameworks. You’ll join our {{ department }} team and work with {{ data scientists / software engineers / product managers / other roles }} to {{ deliver production-ready AI solutions / other role objective }}.
AI developer responsibilities
▪ Design and develop AI models, algorithms, and applications
▪ Implement machine learning and deep learning algorithms using {{ TensorFlow / PyTorch / scikit-learn / Keras }} frameworks
▪ Preprocess and analyze large datasets to prepare high-quality training data
▪ Integrate {{ AI components (e.g., NLP or computer vision modules) }} into {{ existing systems / products }}
▪ Fine-tune and optimize models for performance and accuracy
▪ Test and validate AI models to ensure reliability in real-world conditions
▪ Document code, algorithms, and processes for maintainability
▪ Collaborate with {{ team members }} to align AI solutions with business goals
AI developer requirements
▪ {{ x }}+ years of professional experience in software development or data science, including {{ x }}+ years working on AI or machine learning projects
▪ Strong Python programming skills and familiarity with {{ Java / C++ / R }}
▪ Hands-on experience with machine learning and deep learning frameworks (e.g., {{ TensorFlow / PyTorch / scikit-learn / Keras }})
▪ Strong understanding of core AI domains (neural networks, computer vision, natural language processing, etc.)
▪ Experience in data processing and analysis using SQL and {{ Pandas / NumPy / R }}
▪ Familiarity with cloud platforms ({{ AWS / GCP / Azure }}) for deploying AI solutions
▪ Familiarity with Git-based version control and CI/CD pipelines for model deployment
▪ {{ Strong problem-solving skills / Other soft skills expected in your team }}
Preferred skills
▪ {{ Bachelor’s / Master’s / PhD }} degree in {{ Computer Science / Engineering / Mathematics / related field }}
▪ Experience with big data technologies
▪ Familiarity with MLOps and containerization tools
▪ Track record in applying AI solutions in {{ your industry, e.g., healthcare, finance, etc. }}
Perks and benefits
▪ Competitive compensation with {{ equity / stock options / performance bonuses }}
▪ Learning and development budget
▪ {{ Health insurance / Medical, dental, vision coverage }}
▪ {{ Unlimited PTO / X days PTO }} policy
How to apply
Submit your resume and {{ GitHub profile / project examples }} to {{ careers@company.com / application portal }}.
Our hiring process includes:
▪ {{ Phone screen }}
▪ Technical assessment ({{ take-home / live coding }}),
▪ Technical interview
▪ Final {{ team fit / hiring manager }} interview
If it’s a match, you’ll get an offer within {{ x }} days after the final interview.
Now that you have the template, it’s time to explore how to customize each section for your specific needs. First of all, a well-crafted job description for AI developer positions should follow a specific flow:
Let’s break down some of the most essential customizable sections that help you attract the right AI talent.
Start your AI developer job description with a concise paragraph about your organization. Focus on your industry, core product or service, company size, and benefits that set your employer profile apart. This structure will help AI developers understand your business culture and the problems they’ll help solve.
{{ Company Name }} is a {{ industry type }} organization developing AI-powered solutions for {{ target market/problem }}. With {{ team size or funding stage }}, we’re building {{ core product/service }} that {{ unique value proposition }}. We maintain a {{ collaborative / remote-first }} culture with opportunities for {{ professional growth / cutting-edge projects }}.
Next, you should outline the AI developer job description summary (or job brief). Here, your main goal is to give candidates an immediate understanding of the role’s focus.
In just 2-4 sentences, you should describe what type of AI work they’ll do, which product development phase they’ll join, which teams they’ll collaborate with, and how their contributions fit into your broader product vision.
For example:
We’re seeking a Senior AI developer to architect and implement machine learning solutions that power our predictive analytics platform. You’ll partner with our data engineers and product teams to deploy models and scale our AI infrastructure to handle growing data volumes.
Moving forward, you need to specify what your AI developer will do on a day-to-day basis. This section should paint a realistic picture of their primary focus areas and ongoing work. Aim for 6-8 bullet points.
Common responsibilities in an AI engineer job description include:
Once you’ve outlined the responsibilities, it’s time to specify the technical foundation candidates need to succeed. Focus on must-have skills that directly impact their ability to contribute within the first few months. Be specific about frameworks, tools, and experience levels. Also, avoid nice-to-have requirements that might discourage qualified candidates.
Essential qualifications for an artificial intelligence engineer job description typically include:
Remember to adjust requirements based on seniority level. A junior AI engineer job description might emphasize learning potential and foundational skills, while senior roles demand architectural experience and team leadership capabilities.
Now that you have mastered the AI developer job description, you might consider the next steps to hire the right match. First of all, explore online communities and technical job boards where AI engineers in your region actively look for opportunities and post your role.
To maximize the chances of the best fit, prepare your screening process to evaluate technical capabilities, communication skills, and cultural fit. If possible, be ready to have your AI/ML Seniors assist you in assessments. This helps to pick the best candidates for your team setup.
But if you don’t have specialized AI recruiting expertise or want access to already vetted experts, DOIT Software can help. Our talent network includes 385+ AI developers across the US, Canada, Europe, and Latin America. Just share your AI specialist job description, and DOIT talent matchers will assist you in hiring the right AI talent for your requirements.
Share your requirements and receive the first relevant CVs within days.
Request CVsAn AI engineer builds and deploys artificial intelligence systems that can perform tasks traditionally requiring human intelligence. They work at the intersection of software engineering and data science, using mathematical and computational techniques with machine learning frameworks and programming languages (e.g., Python).
For example, AI engineers can design algorithms, train models, implement data pipelines, and deploy these models into production.
AI developers need strong programming skills in Python, expertise in machine learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics and statistics. They should understand various AI domains, including computer vision, natural language processing, and deep learning architectures. Additionally, they also require experience with data processing tools and MLOps practices.
AI developers design and implement machine learning models, preprocess and analyze large datasets, and integrate AI components into existing software systems. They optimize model performance, conduct testing and validation, document their work, and collaborate with software engineers to integrate AI features with the existing tech stack.
