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Flex Schedule Generative Ai Engineer Jobs (NOW HIRING)

Generative AI / LLMs * OpenAI / Azure OpenAI * Google AI Stack (Gemini, Vertex AI) * AI Agents & Copilots * Prompt Engineering * RAG (Retrieval-Augmented Generation) * Workflow Automation ...

They are seeking a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. Responsibilities : โ€ข ...

Generative AI Engineer

Houston, TX ยท 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 ...

Helix AI Engineer, Generative AI

San Jose, CA ยท 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 ...

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 ...

Helix AI Engineer, Generative AI

San Jose, CA ยท 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 ...

AWS Generative AI Engineer

Charlotte, NC ยท 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.

Showing results 41-60

Flex Schedule Generative Ai Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do flex schedule generative ai engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for flex schedule 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 is the difference between Flex Schedule Generative Ai Engineer vs Data Scientist?

AspectFlex Schedule Generative Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Statistics, or related field; proficiency in data analysis
Work EnvironmentTech companies, startups, remote or flexible schedulesResearch labs, tech firms, often in office or hybrid setups
Industry UsageAI development, machine learning projects, software engineeringData analysis, predictive modeling, business insights
Search & Comparison IntentUnderstanding role differences, job requirements, work flexibilityClarifying career paths, skills overlap, industry roles

The Flex Schedule Generative Ai Engineer focuses on developing AI models with flexible work hours, often in tech environments. In contrast, Data Scientists analyze data to derive insights, typically working in research or business settings. Both roles require technical skills but differ in daily tasks and industry focus.

More about Flex Schedule Generative Ai Engineer jobs
What cities are hiring for Flex Schedule Generative Ai Engineer jobs? Cities with the most Flex Schedule Generative Ai Engineer job openings:
What states have the most Flex Schedule Generative Ai Engineer jobs? States with the most job openings for Flex Schedule Generative Ai Engineer jobs include:
Infographic showing various Flex Schedule Generative Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 32% Part Time, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Generative AI Engineer

IPolarity LLC

Whippany, NJ โ€ข On-site

$70/hr

Full-time

Posted 22 days ago


Job description

Location: Richardson, TX (Hybrid)
Duration: 6+ months
Key Skills

  • Generative AI / LLMs
  • OpenAI / Azure OpenAI
  • Google AI Stack (Gemini, Vertex AI)
  • AI Agents & Copilots
  • Prompt Engineering
  • RAG (Retrieval-Augmented Generation)
  • Workflow Automation & Integrations
  • Strong Communication and Stakeholder Engagement
Preferred Skills

  • AI Black Belt certification/expertise
  • Firewall, Data Center, and Spine-Leaf Architecture knowledge
  • Cloud and Infrastructure experience
Key Responsibilities

  • Translate business workflows, pain points, and objectives into production-ready AI solutions.
  • Design, develop, and deploy AI agents, copilots, automations, and retrieval-based applications.
  • Work directly with business stakeholders to define scope, success metrics, risks, dependencies, and delivery milestones.
  • Build integrations leveraging approved AI platforms and enterprise technologies.
  • Drive rapid prototyping and deployment of AI solutions to deliver business value in shorter timeframes.
Ideal Background

  • 10+ years of overall IT experience.
  • Hands-on experience with both OpenAI and Google AI ecosystems.
  • Experience building and deploying GenAI solutions in enterprise environments.
  • Strong client-facing and consulting skills with the ability to translate business requirements into technical solutions.