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Ai And 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 ...

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 ...

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 ...

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 ...

Credo AI

AI Governance Advisor

$170K - $180K/yr

About Credo AI The Credo AI Governance Platform operates as the trust layer for global enterprises focused on transforming their organizations with AI. It is powered by a knowledge graph that is ...

Vectra AI

Director of AI

San Jose, CA · On-site

Vectra AI is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Director of AI will lead AI and data engineering teams, drive AI business transformation ...

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.

h2o.ai

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 ...

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 ...

h2o.ai

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 ...

h2o.ai

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 ...

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 ...

h2o.ai

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 ...

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

AI Delivery Manager

New York, NY

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 ...

Aegis AI

AI Architect

New York, NY · On-site

$69 - $90.75/hr

Adversaries are using AI to craft customized, high-evasion attacks - and old-school rules-based systems don't stand a chance. Your Mission: Architect a constellation of AI Agents - fast, cheap, and ...

Treasure AI

AI Deployment Consultant

Manhattan, NY · On-site

$120 - $180/hr

Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through ...

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How much do ai and jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai and 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 and machine learning professional?

AI and Machine Learning professionals are experts who design, develop, and implement artificial intelligence systems and algorithms that enable machines to learn from data and make decisions. Their work often involves programming, data analysis, and research to create intelligent applications such as chatbots, recommendation engines, and image recognition systems. These professionals may work in various industries, helping organizations automate processes, improve efficiency, and gain valuable insights from data. The field is continually evolving, requiring ongoing learning and adaptation to new technologies.

What are the key skills and qualifications needed to thrive as an AI analyst?

To thrive as an AI Analyst, you need strong analytical skills, a background in statistics or computer science, and experience with data analysis, often supported by a relevant degree. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are important soft skills for translating complex data into actionable insights. These abilities are crucial for interpreting large data sets, informing strategic decisions, and enabling organizations to leverage AI effectively.

What are some common challenges faced by AI analysts when integrating new AI solutions into existing business processes?

AI Analysts often encounter challenges such as aligning AI solutions with current business workflows, ensuring data quality and availability, and gaining stakeholder buy-in. They may also need to collaborate closely with IT and operations teams to address technical compatibility and change management issues. Successfully navigating these challenges requires strong communication skills, adaptability, and a proactive approach to problem-solving.

What is the difference between Ai And and Data Analyst?

AspectAi AndData Analyst
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in AI or machine learning are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in data analysis or visualization tools are beneficial
Work EnvironmentOften works in tech companies, AI startups, or R&D departments, focusing on developing AI modelsWorks across various industries in offices or remote settings, analyzing data to inform business decisions
Employer & Industry UsageUsed mainly in technology, research, and AI-focused companiesWidely used across finance, healthcare, marketing, and other sectors

While both Ai And and Data Analyst roles involve working with data, Ai And focuses on developing artificial intelligence systems, whereas Data Analysts interpret data to support business strategies. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

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Ai And jobs near you
Infographic showing various Ai And job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% 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.
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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