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AI Fund is an education technology company focused on empowering the global workforce to build an AI-powered future. They are looking for an AI Engineer to work in their Learning Experience Lab ...
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About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems-across high ...
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Dallas, TX · On-site
$103K - $142K/yr
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies ...
Quick apply
Senior AI Engineer
Dallas, TX · On-site
$103K - $142K/yr
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies ...
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Dallas, TX · On-site
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AI Governance Advisor
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Los Altos, CA · On-site
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Los Altos, CA · On-site
At Uare.ai, founded by Robert LoCascio (former CEO of LivePerson), we're creating a platform where prosumers and consumers come together - to build, share, and interact with AI versions of themselves.
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$123K - $169K/yr
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AI / Video Engineer
Los Altos, CA · On-site
At Uare.ai, founded by Robert LoCascio (former CEO of LivePerson), we're creating a platform where prosumers and consumers come together - to build, share, and interact with AI versions of themselves.
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Los Altos, CA · On-site
At Uare.ai, founded by Robert LoCascio (former CEO of LivePerson), we're creating a platform where prosumers and consumers come together - to build, share, and interact with AI versions of themselves.
Senior AI Engineer
Dallas, TX · On-site
$103K - $142K/yr
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies ...
Senior AI Engineer
Dallas, TX · On-site
$103K - $142K/yr
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies ...
Senior AI Engineer
San Francisco, CA · On-site
$123K - $169K/yr
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies ...
Quick apply
Senior AI Engineer
San Francisco, CA · On-site
$123K - $169K/yr
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AI Product Manager
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Los Altos, CA · On-site
At Uare.ai, founded by Robert LoCascio (former CEO of LivePerson), we're creating a platform where prosumers and consumers come together - to build, share, and interact with AI versions of themselves.
AI / Video Engineer
Los Altos, CA · On-site
At Uare.ai, founded by Robert LoCascio (former CEO of LivePerson), we're creating a platform where prosumers and consumers come together - to build, share, and interact with AI versions of themselves.
AI Delivery Manager
New York, NY · On-site
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AI Delivery Manager
New York, NY · On-site
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Ai information
See salary details
$44.71 - $47.16
1% of jobs
$47.16 - $49.61
6% of jobs
$49.61 - $52.05
12% of jobs
$53.74 is the 25th percentile. Wages below this are outliers.
$52.05 - $54.50
9% of jobs
$54.50 - $56.95
6% of jobs
$56.95 - $59.40
7% of jobs
$59.40 - $61.84
6% of jobs
The median wage is $62.66 / hr.
$61.84 - $64.29
6% of jobs
$64.29 - $66.74
7% of jobs
$68.20 is the 75th percentile. Wages above this are outliers.
$66.74 - $69.19
22% of jobs
$69.19 - $71.63
16% of jobs
$44
$61
$71
How much do ai jobs pay per hour?
As of Aug 6, 2026, the average hourly pay for ai in the United States is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $68.27 per hour, depending on experience, location, and employer.
What is an AI?
An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.
What is an entry-level job in AI?
An entry-level job in AI typically involves tasks such as data preprocessing, basic model training, and assisting with AI research under supervision. Common roles include AI intern, junior data scientist, or AI technician, often requiring foundational knowledge of programming languages like Python and understanding of machine learning concepts.
What are the typical career progression paths for professionals working in AI roles?
Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.
How do I start a career in AI?
To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.
What are the key skills and qualifications needed to thrive in the AI position, and why are they important?
To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.
More about Ai jobs
What cities are hiring for Ai jobs? Cities with the most Ai job openings:
What are the most commonly searched types of Ai jobs? The most popular types of Ai jobs are:
What states have the most Ai jobs? States with the most job openings for Ai jobs include:
What job categories do people searching Ai jobs look for? The top searched job categories for Ai jobs are:
Full-time
Medical, Dental, Vision, Retirement
Re-posted 7 days ago
Job description
About Distyl AI
Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
What We Are Looking For
AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role. AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.
Key Responsibilities
What We Require
What We Offer
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday-Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
What We Are Looking For
AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role. AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.
Key Responsibilities
- Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production
- Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs
- Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications
- Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value
- Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time
- Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve
- Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement
- Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact
- Take accountability for the production outcomes of the components, workflows, and systems you build
What We Require
- 2+ years of software engineering experience
- Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work
- Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components - prompts, agents, tools, retrieval, evaluators, workflows, and integrations - into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes
- Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness
- AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems
- Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations
- Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users
- Willingness to travel. Travel is typically 10-30%, depending on the project, customer needs, and your role on the engagement
What We Offer
- The base salary range for this role is $150K - $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible time off
- Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
- Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
- Complimentary in-office lunches and snacks provided
- Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
- Ownership of high-impact projects across top enterprises
- A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday-Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.