Generative AI Engineer Job Description Template

Use this Generative AI Engineer job description template to attract talent skilled in building, fine-tuning, and deploying LLMs, diffusion models, and transformer-based generative systems.
Hire Talent
  • Freelance contractors
  • Full-time roles
  • Global teams
job descriptions
Responsibilities & Skills

If you’re hiring a specific type of engineering roles, you can use this template as a foundation and customize  it to highlight the responsibilities, skills, and qualifications relevant to that role.

Generative AI Engineer Job Description Template

Job Title: Generative AI Engineer

Location: Remote / Hybrid / [City, State]
Job Type: Full-time
Department: AI Research / Machine Learning / Engineering

About the Role

We are seeking a Generative AI Engineer to design, develop, and deploy state-of-the-art generative models across text, image, code, or audio domains. You’ll work with large language models (LLMs), diffusion models, or transformers to create intelligent applications and systems that push the boundaries of creativity, automation, and human-computer interaction.

This role is ideal for engineers passionate about applying deep learning and generative modeling to build tools, products, and workflows with real-world impact.

Key Responsibilities

  • Design, fine-tune, and deploy generative models using architectures such as GPT, Stable Diffusion, or custom transformers
  • Implement and optimize inference pipelines for real-time or batch generation (text, image, code, audio)
  • Collaborate with researchers, product teams, and designers to integrate generative AI into products or user-facing tools
  • Build data pipelines for model training, evaluation, and continual learning
  • Monitor model performance, address bias or hallucination issues, and improve output reliability
  • Stay current with research in generative AI and contribute to model selection, benchmarking, and experimentation

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
  • Strong understanding of deep learning and transformer architectures
  • Proficiency in Python and ML libraries like PyTorch, TensorFlow, Hugging Face Transformers
  • Experience working with LLMs, diffusion models, or generative adversarial networks (GANs)
  • Familiarity with prompt engineering, fine-tuning, and evaluation methods for generative outputs
  • Knowledge of model deployment (e.g., ONNX, TorchServe, Triton) and performance optimization techniques

Preferred Qualifications

  • Experience building generative tools for content creation, chatbots, code generation, or digital art
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG)
  • Contributions to open-source ML projects or published research
  • Awareness of ethical considerations, including output filtering, consented data use, and generative misuse risks

What We Offer

  • Access to cutting-edge models and GPU infrastructure
  • Opportunity to work on production-grade generative AI systems
  • Collaborative environment with researchers, engineers, and product innovators
  • Competitive compensation, flexible schedules, and growth opportunities
  • Support for research, open-source contributions, and conference attendance

How to Apply

Submit your resume and any relevant projects, GitHub repositories, or generative model demos you’ve built or contributed to.

Frequently Asked Questions
What is the purpose of this Generative AI Engineer Job Description Template?

This template provides a standardized format for creating professional job descriptions that effectively communicate role requirements, responsibilities, and company information to potential candidates. It helps ensure consistency across your organization’s hiring materials while saving time in the recruitment process.

Replace all placeholder text with information specific to your open position. Pay special attention to sections like requirements, responsibilities, and qualifications to ensure they accurately reflect the needs of the role.

This job description template helps in recruitment by clearly defining the role and expectations, attracting qualified candidates, and streamlining the selection process. It serves as a reference during interviews and evaluations.

  • Include relevant keywords and industry-standard job titles
  • Use common terminology for skills and qualifications
  • Structure your content with clear headings
  • Avoid excessive formatting that might not translate across platforms
  • Ensure mobile-friendly content (concise paragraphs, scannable bullets)

Essential sections include:

  • Job title
  • Company overview
  • Position summary
  • Key responsibilities
  • Required qualifications/skills
  • Preferred qualifications
  • Compensation and benefits information
  • Equal opportunity statement

Strong Introduction:

  • Highlight technical challenges and impact
  • Mention key technologies and team culture

Specific Responsibilities:

  • Use concrete examples instead of vague statements
  • Clarify collaboration expectations and decision authority

Clear Requirements:

  • Separate must-have from nice-to-have skills
  • Include both technical and professional qualifications

Showcase Culture:

  • Describe engineering practices (code reviews, pair programming)
  • Highlight growth opportunities and unique developer benefits
Explore More