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Ai Job Jobs (NOW HIRING)

Distyl AI

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 ...

Distyl AI

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 ...

Higgsfield AI

AI Educator

Los Angeles, CA · On-site

$100K - $125K/yr

Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.

Raspberry AI

AI Designer

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 ...

Unconventional AI

AI Systems

Palo Alto, CA · On-site

$123K - $168K/yr

Unconventional AI is a company focused on revolutionizing computing to meet the unprecedented demand for energy-efficient AI solutions. As a Member of Technical Staff in AI Systems, you will develop ...

AI Fund

AI Engineer

Mountain View, CA · On-site

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 ...

Credo AI

AI Governance Advisor

$170K - $180K/yr

About Credo AI Credo AI is a venture-backed company on a mission to empower organizations to responsibly build, adopt, procure and use AI at scale. Credo AI has built a pioneering platform for ...

h2o.ai

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/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 ...

Weekday AI

AI Delivery Manager

New York, NY · On-site

AI Delivery Manager (10-15 Years Experience) Location: NYC, NY - ONSITE Role Overview We are seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI-driven programs ...

Eloquent AI

AI Engineer, Platform

San Francisco, CA · On-site

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision.

Weekday AI

Manager-AI Delivery

New York, NY · On-site

AI Delivery Manager (10-15 Years Experience) Location: NYC, NY - ONSITE Role Overview We are looking for a seasoned AI Delivery Manager to oversee the complete delivery lifecycle of AI/ML and GenAI ...

h2o.ai

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 ...

Uare.ai

AI / Video Engineer

Los Altos, CA

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.

Uare.ai

AI / Video Engineer

Los Altos, CA

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 ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision.

Weekday AI

AI Delivery Manager

New York, NY · On-site

AI Delivery Manager (10-15 Years Experience) Location: NYC, NY - ONSITE Role Overview We are seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI-driven programs ...

Weekday AI

Manager-AI Delivery

New York, NY

AI Delivery Manager (10-15 Years Experience) Location: NYC, NY - ONSITE Role Overview We are looking for a seasoned AI Delivery Manager to oversee the complete delivery lifecycle of AI/ML and GenAI ...

h2o.ai

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 ...

Arize AI

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.

Crescendo.ai

AI Innovation Lead

San Francisco, CA · On-site

The Role We're hiring multiple AI Innovation Leads to help embed practical, process‑level AI across Crescendo. These roles are hands‑on builders and operators who turn AI capability into real ...

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How much do ai job jobs pay per hour?

As of Jul 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?

AspectAi JobData Analyst
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, or related fields; certifications in data analysis
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various sectors needing data insights
Common Search & ComparisonYesYes

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and may involve leadership responsibilities or specialized expertise in areas like deep learning or natural language processing.

What kind of jobs can I get in AI?

Jobs in AI include roles such as AI engineer, machine learning engineer, data scientist, NLP engineer, and AI researcher. These positions typically require skills in programming, data analysis, and understanding of algorithms, often using tools like Python, TensorFlow, or PyTorch, and may require relevant certifications or advanced degrees.

Which 3 jobs will survive AI?

AI jobs such as data scientists, AI specialists, and machine learning engineers are expected to persist because they involve designing, developing, and managing AI systems that require advanced technical skills and human oversight. These roles demand creativity, complex problem-solving, and domain expertise that are difficult for AI to fully replicate. Additionally, jobs in healthcare, education, and skilled trades are likely to remain resilient due to the need for human interaction and specialized knowledge.

Is AI a high paid job?

AI jobs, such as AI engineer or data scientist, are generally among the higher-paying roles in the tech industry due to the specialized skills required, including programming, machine learning, and data analysis. Salaries vary based on experience, location, and company, but these roles often offer competitive compensation compared to other tech positions.
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:
Ai Job jobs near you
Infographic showing various Ai Job job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $127,720 per year, or $61.4 per hour.

AI Engineer

Distyl AI

New York, NY • On-site

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. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
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% covered medical, dental, and vision for employees and dependents
  • 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
  • Access to state‑of‑the‑art 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 prizes 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.

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