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Generative Ai Engineer Jobs (NOW HIRING)

Apetan Consulting llc

Generative AI Engineer

Houston, TX · On-site

$55 - $60/hr

Generative AI Engineer Work Location: Houston, TX Duration: 6-12 Months Contract Work Mode: Onsite from Day 1 Pay Rate Range: $50/hr. - $60/hr. on C2C Interview: Face to Face Interview is Mandatory ...

New

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Helix AI Engineer, Generative AI

San Jose, CA

$200K - $400K/yr

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

They are seeking a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand and interact with the physical world, with a focus on training and deploying ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

CYNET SYSTEMS

AWS Generative AI Engineer

Charlotte, NC · On-site

$45 - $50/hr

Stay updated with emerging trends in Generative AI, LLMs, and AWS AI/ML services. Nice to Have: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Jj

Data and Generative AI Engineer

Raritan, NJ · On-site

$117K - $140K/yr

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI ...

Jj

Data and Generative AI Engineer

New Brunswick, NJ · On-site

$118K - $141K/yr

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI ...

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All JobsGenerative Ai Engineer Jobs

Generative Ai Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do generative ai engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

More about Generative Ai Engineer jobs
What cities are hiring for Generative Ai Engineer jobs? Cities with the most Generative Ai Engineer job openings:
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Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Generative AI Engineer

Apetan Consulting llc

Houston, TX • On-site

$55 - $60/hr

Contractor

Posted 2 days ago

New

Job description

Title: Generative AI Engineer
Work Location: Houston, TX 
Duration: 6-12 Months Contract
Work Mode: Onsite from Day 1
Pay Rate Range: $50/hr. - $60/hr. on C2C
Interview: Face to Face Interview is Mandatory
 
If you've been building software for a few years, you've picked up real engineering instincts, and you're the person on your team who's already experimenting with agents and LLMs on the side — this is a chance to do that work for real, at enterprise scale, on production systems that matter.
 
What you will do:
Build agentic features, hands-on. Work alongside senior engineers to design and ship AI-powered remediation capabilities: agent workflows, retrieval pipelines, evaluation loops.
Write production code daily. Java/Spring Boot microservices and AI integrations on AWS.
Learn the full lifecycle. From an idea in a design doc to something running in production, instrumented, monitored, and improved based on real usage.
Bring fresh eyes. You're closer to the newest models, frameworks, and techniques than engineers who've been heads-down in one stack for a decade — we want that perspective in the room, not just deference to seniority.
Grow fast. Work directly with senior engineers who'll push your technical depth, and take on more ownership as you earn it.
 
Our stack
Java / Spring Boot microservices on AWS (Lambda, SQS, SNS, IAM, CloudWatch). 
AI Stack: AWS Bedrock and AgentCore, MCP for tool integration, RAG pipelines with vector and graph-based retrieval, LLM-as-judge evaluation. Some Python and Go at the edges. You won't know all of this — we're more interested in how fast you pick things up than what's already on your resume.
 
What you will bring:
4+ years building software professionally — you've shipped real features, not just coursework or side projects, and you understand what "production" demands.
Genuine curiosity about AI/agentic systems — you've built something with LLMs or agents, even outside of work: a side project, a hackathon entry, an experiment that didn't ship. We want to hear about it.
Solid engineering fundamentals — distributed systems basics, APIs, cloud infrastructure (AWS). You need to know what good code and good design look like.
You experiment and iterate ideas quickly and bring new perspectives 
 
Nice to have
Experience with multiple LLM APIs or agent frameworks
Python or Go 
POCs using AI for coding, automation, or data work 
Contributions to open source AI/ML tooling.