AI Engineer
New York, NY · On-site
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 ...
AI Engineer
New York, NY · On-site
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Applied AI Researcher, AI Systems
New York, NY · On-site
$150K - $250K/yr
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 ...
Applied AI Researcher, AI Systems
New York, NY · On-site
$150K - $250K/yr
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New York, NY · On-site
AI Designer About Raspberry AI Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster - from ...
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New York, NY · On-site
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New York, NY · On-site
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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New York, NY · On-site
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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 ...
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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 ...
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 ...
Principal AI Engineer
Dallas, TX · On-site
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
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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San Francisco, CA · On-site
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AI Engineer, Agent
San Francisco, CA · On-site
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San Francisco, CA · On-site
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San Francisco, CA · On-site
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New York, NY · On-site
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San Francisco, CA · On-site
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San Francisco, CA · On-site
$123K - $169K/yr
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Senior AI Engineer
San Francisco, CA · On-site
$123K - $169K/yr
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Quick apply
Senior AI Engineer
San Francisco, CA · On-site
$123K - $169K/yr
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San Jose, CA · On-site
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San Jose, CA · On-site
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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.
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Los Altos, CA · On-site
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$150 - $210/hr
Overview BigBear.ai is seeking a motivated Senior AI Engineer with a proven track record in software engineering and a deep understanding of Artificial Intelligence/Machine Learning (AI/ML ...
New
$150 - $210/hr
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AI Product Manager
$150K - $220K/yr
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AI Product Manager
$150K - $220K/yr
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in.
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Dallas, TX · On-site
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Quick apply
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Dallas, TX · On-site
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AI Architect
New York, NY · On-site
$69 - $90.75/hr
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AI Architect
New York, NY · On-site
$69 - $90.75/hr
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Ai Job 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 job jobs pay per hour?
As of Aug 7, 2026, the average hourly pay for ai job 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 the difference between Ai Job vs Data Analyst?
| Aspect | Ai Job | Data Analyst |
|---|---|---|
| Required Credentials | Degree in Computer Science, AI, or related fields; certifications in AI/ML | Degree in Statistics, Mathematics, or related fields; certifications in data analysis |
| Work Environment | Tech companies, research labs, AI startups | Business, finance, healthcare, and other industries |
| Employer & Industry Usage | Primarily in tech and AI-focused industries | Across various sectors needing data insights |
| Common Search & Comparison | Yes | Yes |
Ai Jobs focus on developing and implementing artificial intelligence models, requiring skills in machine learning and programming. Data Analysts interpret data to provide business insights, often using statistical tools. While both roles work with data, Ai Jobs are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting across diverse industries.
What cities are hiring for Ai Job jobs? Cities with the most Ai Job job openings:
What are the most commonly searched types of Ai Job jobs? The most popular types of Ai Job jobs are:
What states have the most Ai Job jobs? States with the most job openings for Ai Job jobs include:
What job categories do people searching Ai Job jobs look for? The top searched job categories for Ai Job jobs are:
Full-time
Medical, Dental, Vision, Retirement
Re-posted 8 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.