Generative AI Engineer Jobs
Generative AI Engineer jobs are open across tech, financial services, healthcare, and media, from new-grad to staff and principal levels, with specializations in large language model fine-tuning, retrieval-augmented generation, and multimodal AI systems. Find a role that fits from the openings below and apply directly.
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We are seeking a detail-oriented, analytical Digital Content Marketing Intern to support our Generative Engine Optimization (GEO) and AI search strategy across 22 brands. Working alongside the Senior Digital Marketing Manager and Digital Team, you will learn how to leverage custom prompt engineering and optimized AI workflows to create high-converting content for Google Business Profiles. This role is ideal for someone eager to build hands-on experience at the intersection of AI search, SEO, and content strategy.
This is a six-month internship for approximately 20 hours a week (Monday through Friday). This position is in-office.
Key Responsibilities
- Google Business Profile Content: Help support and execute content creation for Google Business Profiles across multiple brand accounts, crafting clear, high-converting posts.
- Prompt Engineering: Learn to write, test, and refine custom prompts to produce structured content easily digestible by AI search algorithms.
- GEO Strategy Support: Execute key administrative and operational tasks necessary to maintain our Generative Engine Optimization and AI search strategy.
- Strategic Optimization: Analyze performance to understand the underlying "why" behind AI search behavior, using those insights to continuously improve content quality.
- GLSA Analytics Support: Assist with gathering and maintaining Google Local Services Ads (GLSA) performance data, tracking key metrics, and supporting ongoing optimization efforts to improve local search performance and marketing outcomes across brands.
Qualifications
- Currently pursuing or recently completed a degree in Marketing, Communications, Data/Computer Science, English, or a related field.
- Exceptional writing skills with strong attention to detail, accuracy, and organization.
- Excellent time-management and multi-tasking skills, with the ability to prioritize tasks and meet deadlines across multiple brand accounts.
- A curious, analytical mindset focused on understanding underlying strategies ("the why"), not just following step-by-step tasks ("the what").
- Ability to manage administrative workflows efficiently in a multi-brand environment.
Helpful (But Not Required) Experience
- Blog writing, copywriting, or long-form content creation.
- Basic understanding of web development or coding principles.
- Familiarity with general digital marketing or social media concepts.
#CGHP
About Champions Group:
Champions Group is a nationwide leading provider of essential home services specializing in heating, air conditioning and plumbing services. With the mission to maintain long term relationships with its customers, Champions Group is dedicated to delivering timely, high-quality services across a comprehensive suite of HVAC, plumbing and electrical products. Champions Group Holdings includes brands from across the country, including Adeedo!, ASI, Bee's Plumbing, Bell Brothers, Fetch-A-Tech, HELP, Hobaica, Howard Air, JW Plumbing Heating and Air, Lex Cooling, Heating, Plumbing & Electrical, M and M Heating, Cooling, Plumbing & Electrical, McAfee Heating and Air, Moore Home Services, ProSkill Services, Scottsdale Air, Seatown Electric, Plumbing, Heating & Air, Service Champions, Service Wizard, Sierra Air, Swan Plumbing, Heating & Air Conditioning and Timo's Air Conditioning & Heating.
We are an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic outlined by federal, state, or local laws. Additionally, we will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the California Fair Chance Act and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
Champions Group Privacy Policy
Generative AI Engineer Jobs by Experience Level
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Find Generative AI Engineer JobsGenerative AI Engineer Job Market
Who's Hiring
- Innodata28

- Google16

- TikTok13

- Amazon Web Services12

- Citi7

Top Industries Hiring
- Technology & Software34
- Banking & Financial Services4
- Investment & Asset Management4
- Electronics & Hardware3
- Artificial Intelligence3
What Employers Look For
The qualifications that appear most often in generative AI engineer jobs.
- Proficiency in Python and deep learning frameworks such as PyTorch or JAX
- Hands-on experience fine-tuning or prompting large language models like GPT, Llama, or Gemini
- Experience building and deploying retrieval-augmented generation pipelines
- Familiarity with model serving infrastructure including APIs, containerization, and cloud platforms
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Understanding of evaluation frameworks, safety considerations, and responsible AI practices
Tips for Your Generative AI Engineer Job Search
Tailor your resume to model type
Recruiters and hiring managers scan for specific model families you've worked with. Call out LLMs, diffusion models, or multimodal architectures by name in your experience bullets, not just 'generative AI,' so your resume matches the exact language in job listings.
Show production deployments, not prototypes
Most generative AI engineer roles want evidence of systems that shipped, not Jupyter notebooks. Quantify throughput, latency improvements, or cost reductions from a deployed endpoint. Side projects count if they serve real users and you can describe the infrastructure.
Filter openings by stack before applying
Job descriptions vary widely: some teams run everything on proprietary APIs, others want low-level PyTorch experience. Read the technical requirements carefully and match your application to roles where your stack overlaps at least two thirds of what they list.
Apply early to roles that fit
Migrate Mate lists generative ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for system design around inference
Technical interviews at companies building generative AI products often focus on inference pipeline design: batching strategies, model serving frameworks like vLLM or TGI, and cost-per-token tradeoffs. Practicing these scenarios is more valuable than re-reading model architecture papers.
Negotiate scope before salary
Generative AI roles vary enormously in autonomy. Before discussing compensation, clarify whether you own the full ML lifecycle or support a research team. Roles with more ownership over architecture and deployment decisions typically have stronger leverage for negotiating total compensation.
Generative AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most generative ai engineers?
The companies hiring the most generative ai engineers right now include Innodata, Google, and TikTok, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of September 2026. Demand is concentrated at companies building AI-native products as well as enterprises integrating generative AI into existing platforms.
How many generative ai engineer jobs are remote?
About 76% of generative ai engineer openings are fully remote or hybrid as of September 2026, making it one of the more flexible engineering disciplines. Roles focused on prompt engineering, API integration, and evaluation tend to be most commonly offered remotely, while positions involving proprietary infrastructure or on-premise model deployment are more likely to require on-site presence.
How do you become a generative ai engineer?
Start by building a strong foundation in Python and machine learning fundamentals, then move into hands-on work with transformer architectures and pre-trained models through open-source projects or coursework. Practice fine-tuning models on domain-specific datasets, build at least one end-to-end application that uses a generative model in production, and document the infrastructure decisions you made along the way. Familiarity with vector databases, prompt engineering patterns, and model evaluation methods rounds out the core skill set employers look for.
Can you get a generative ai engineer job with little experience?
Yes, entry-level generative AI roles exist, and employers hiring at that level prioritize demonstrated projects over years of experience. Build a public portfolio that shows you've integrated an LLM into a real application, contributed to an open-source AI project, or fine-tuned a model on a specific dataset. Roles titled AI engineer, ML engineer, or applied AI developer often have lower experience bars and serve as strong entry points into the field.
What does the generative ai engineer interview process look like?
Most generative AI engineer interviews include a recruiter screen followed by a technical phone interview covering Python, ML concepts, and prior project experience. A take-home or live coding assessment typically tests your ability to build or evaluate a generative AI component, such as a retrieval pipeline or an evaluated prompt chain. Final rounds usually include a system design interview focused on inference infrastructure and a cross-functional conversation with product or research stakeholders about your approach to model tradeoffs and safety.
Where can I find and apply to generative ai engineer jobs?
You can find and apply to generative ai engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits. The platform pulls in openings from a wide range of companies, so you can compare roles across industries without searching multiple sites.
See All 201+ Generative AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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