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Flex Gen Ai Jobs (NOW HIRING)

Flex

Head of Growth Marketing

Flex is building the AI-native private bank for business owners . We're re-architecting the entire ... What You'll Do Growth & Demand Generation Leadership • Lead and manage the Demand Gen team ...

Flex

Head of Growth Marketing

Concord, NC · Remote

Flex is building the AI-native private bank for business owners . We're re-architecting the entire ... What You'll Do Growth & Demand Generation Leadership • Lead and manage the Demand Gen team ...

Whataburger

Sr. Data Architect

San Antonio, TX · On-site

$57.50 - $74/hr

Flex Weeks * Paid Corporate Holidays * Paid Parental Leave* * 401(k) match $1/$1 up to 4% * ... Exposure to Gen-AI, AI engineering frameworks, or AI coding assistants * Relevant certifications ...

History Factory

Video Editor

Washington, DC · Remote

On-Camera Flex: On occasion, lead the shooting of a variety of interviews or quick social shoots ... Embracing the potential of gen AI to augment the potential of all creatives and a willingness to ...

History Factory

Video Editor

Washington, DC · On-site +1

On-Camera Flex: On occasion, lead the shooting of a variety of interviews or quick social shoots ... Embracing the potential of gen AI to augment the potential of all creatives and a willingness to ...

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How much do flex gen ai jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for flex gen ai in the United States is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.75 per hour, depending on experience, location, and employer.

What is the difference between Flex Gen Ai vs Data Analyst?

AspectFlex Gen AiData Analyst
Required CredentialsTypically requires AI, machine learning, or data science certificationsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentTech companies, AI development teams, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsageUsed in AI-focused roles across tech and research sectorsUsed in data-driven decision making across various industries

Flex Gen Ai professionals focus on developing and implementing AI models, while Data Analysts interpret data to inform business decisions. Both roles require analytical skills, but Flex Gen Ai roles are more specialized in AI and machine learning technologies.

What are the key skills and qualifications needed to thrive as a Generative AI Engineer, and why are they important?

To thrive as a Generative AI Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree or equivalent experience. Proficiency with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with large language models and cloud platforms are commonly required. Strong problem-solving skills, creativity, and effective communication set top candidates apart in this field. These skills are essential for developing innovative AI solutions, collaborating across teams, and driving advancements in generative AI technologies.

What are the typical challenges faced by professionals working in Flex Gen AI roles, and how can they be addressed?

Professionals in Flex Gen AI roles often encounter challenges such as managing rapidly evolving technologies, integrating AI solutions with legacy systems, and ensuring ethical AI deployment. Staying updated with the latest advancements and participating in continuous learning opportunities are crucial for success. Additionally, effective collaboration with cross-functional teams—such as data engineers, product managers, and business stakeholders—helps address integration and ethical concerns, fostering robust and responsible AI solutions.

What are Flex Gen AI jobs?

Flex Gen AI jobs refer to positions that involve working with the FlexGen platform, which is designed to efficiently run large generative AI models on various hardware setups. These roles typically require expertise in machine learning, deep learning frameworks, and system optimization to deploy and scale AI models effectively. Professionals in these jobs may work on tasks such as optimizing model performance, integrating FlexGen into existing workflows, and supporting research or product development related to generative AI. Flex Gen AI jobs are often found in tech companies, research labs, and organizations investing in advanced AI capabilities.
What cities are hiring for Flex Gen Ai jobs? Cities with the most Flex Gen Ai job openings:
What are the most commonly searched types of Gen Ai jobs? The most popular types of Gen Ai jobs are:
What states have the most Flex Gen Ai jobs? States with the most job openings for Flex Gen Ai jobs include:
What job categories do people searching Flex Gen Ai jobs look for? The top searched job categories for Flex Gen Ai jobs are:
Flex Gen Ai jobs near you
Infographic showing various Flex Gen Ai job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $39,591 per year, or $19 per hour.
Software Engineer Sys 2 (Gen AI)

Software Engineer Sys 2 (Gen AI)

Lam Research Corporation

Fremont, CA • On-site

$86K - $183K/yr

Full-time

Posted 20 days ago

Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

49th of 418 rated machine equipment manufacturers

Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
As a Software Engineer at Lam, you will be at the forefront of innovation by designing, developing, and troubleshooting, and debugging software programs. Your role is pivotal in developing software tools that support design, infrastructure, and technology platforms. Your expertise will determine hardware compatibility and influence design, ensuring seamless integration between software and hardware.
In this role, you'll make an impact across Lam's entire product portfolio of equipment working within our centralized software engineering team, collaborating with some of the brightest minds in the industry.
What you'll do
  • Design, develop, and optimize AI prompts and next-generation applications powered by Large Language Models (LLMs).
  • Develop application and component strategies, overseeing both user experience and backend systems.
  • Implement comprehensive GenAI observability pipelines to track trace-level data, prompt inputs and outputs, and model latency.
  • Collaborate closely with cross-functional teams including business leaders, engineers, architects, and designers to align AI systems with business objectives.
  • Support troubleshooting and issue resolution during testing phases as well as in production environments.
  • Document technical architecture, methodologies, and innovations for effective knowledge transfer and ongoing advancement.
  • Conduct thorough code reviews, provide expert guidance on enhancements and issue resolution, and ensure adherence to engineering standards.

Who we're looking for
Minimum Qualifications:
  • Master's in computer science, computer engineering, electronics, or a related field with two or more years of industry experience.
  • Strong backend engineering foundation, including experience designing services, data models, and asynchronous processing systems.
  • Strong knowledge of Docker, Kubernetes, and CI/CD pipelines.
  • Experience building prototypes or production applications that utilize generative AI.
  • Experience with vector databases such as FAISS, Milvus, or Weaviate, and caching systems such as Redis or Memcache
  • Hands-on experience with retrieval-augmented generation (indexing, chunking, embeddings, reranking) and context engineering focusing on reliability, cost, and latency optimization.
  • Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows such as ReAct, and failure handling.
  • A passion for turning cutting-edge AI into practical, high-impact solutions.
  • Ability to translate complex technical ideas into scalable architectures.

Preferred qualifications
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $86,000.00 - $183,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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