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Ai 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 ...

1Sphere AI

AI Engineer

Oakland, CA · On-site

Job Summary : 1Sphere AI is pioneering enterprise AI solutions for Fortune 500 companies. The AI Engineer role focuses on mastering Claude Code, building AI orchestration patterns, and refining 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 ...

Fireworks AI

AI Field Engineer - AI Natives

Fireworks AI is a leading company in generative AI infrastructure, valued at $4 billion and backed by top investors. They are seeking an AI Field Engineer to work closely with customers, building ...

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 ...

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 ...

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 ...

Mistral AI

AI Scientist

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 ...

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 · 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.

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 ...

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

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 ...

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 ...

Uare.ai

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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How much do ai jobs pay per hour?

As of Jul 17, 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.

Which 5 jobs will survive AI?

Jobs in AI-related fields such as data science, machine learning engineering, AI research, cybersecurity, and healthcare are expected to persist as they require complex problem-solving, specialized knowledge, and human judgment. These roles often involve designing, managing, or overseeing AI systems, making them less susceptible to automation. Continuous learning and technical skills are essential for these professions to adapt to evolving AI technologies.

What is an AI job?

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 a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning engineers, often requiring advanced degrees, extensive experience, and expertise in programming, data analysis, and AI frameworks. These roles usually involve leadership, strategic planning, and innovation in AI development within large tech companies or specialized firms.

Is there an AI for that free?

AI-related jobs often involve developing or managing artificial intelligence tools, some of which are available for free or open-source. However, specialized AI software or platforms may require paid licenses or subscriptions, depending on the complexity and intended use. Job seekers should consider skills in programming, machine learning, and data analysis when pursuing AI roles.

Which AI is free to use?

Several AI tools are available for free, including OpenAI's ChatGPT (free tier), Google's Bard, and Microsoft's Azure AI services with free credits. These platforms often offer limited features or usage caps in their free versions, making them accessible for basic tasks and experimentation without cost.

What types of jobs are in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What jobs can you get in AI?

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

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 access AI?

To access AI related to the job of AI, you can use various platforms and tools such as cloud-based AI services, programming libraries like TensorFlow or PyTorch, or AI development environments. Familiarity with coding, machine learning concepts, and relevant software is often required to effectively work with AI systems.

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:
Ai jobs near you
Infographic showing various Ai 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 17 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% 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.

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