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Ai Engineer Jobs (NOW HIRING)

Distyl AI

AI Engineer

New York, NY · On-site

$150K - $250K/yr

AI Engineers are hands-on builders who design, deploy, and iterate on end-to-end AI systems. They work close to customers to understand real requirements, translate them into concrete system designs ...

h2o.ai

AI Engineer

Dallas, TX · On-site

$103.40K - $142K/yr

The Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning ...

h2o.ai

AI Engineer

Dallas, TX · On-site

$103.40K - $142K/yr

The Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning ...

1Sphere AI

AI Engineer

Oakland, CA · On-site

The AI Engineer role focuses on mastering Claude Code, building AI orchestration patterns, and refining the architecture for real-time decision-making in AI systems. Responsibilities : • Become the ...

Apex 2000

AI Engineer

Denver, CO

AI Engineer Location: Denver, CO Duration: 9-12 Month JD: AI Engineer JD:Software Engineer AI Developer About the Role You'll work on an internal platform that lets developers discover, install, and ...

New

Guru Schools

AI Engineer

Washington, DC · On-site

AI Engineer Position Responsibilities 2-4 DAYS ON SITE AI Engineer 1. Background and Context The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note: only 1 Round of interview Face to Face. We are looking for an AI Engineer / Applied AI Developer. The ideal ...

Canyon State Electric

AI Engineer

Tempe, AZ

AI Engineer Job Title: AI Engineer Position Overview The AI Engineer will lead the evaluation, implementation, and integration of artificial intelligence technologies across company operations. This ...

Panopto

AI Engineer

As an AI Engineer , you will stand at the intersection of AI innovation and core product engineering. You aren't just implementing APIs; you are designing the future of how millions of people learn.

ProCorp Systems Inc.

AI Engineer

Manhattan, NY

AI Engineer - LLM Agents & Automation We're seeking an experienced AI Engineer to build production-grade LLM-powered agents that automate operational and finance workflows. This is a hands-on ...

Leidos

AI Engineer

San Diego, CA · On-site

Leidos has a new and exciting opportunity for a AI Engineer in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA) . Our talented team is at the forefront in Security ...

Panopto

AI Engineer

OR · Remote

As an AI Engineer, you will stand at the intersection of AI innovation and core product engineering. You aren't just implementing APIs; you are designing the future of how millions of people learn.

Zion Cloud Solutions

AI Engineer

Deerfield, IL

AI Engineer Location: Deerfield, IL (Onsite) Employment Type: Full-Time About the Role We are seeking talented and motivated AI Engineers with 2 3 years of experience to join our growing team. This ...

Tavant

AI Engineer

Santa Clara, CA · On-site

AI Engineer Company Name: Tavant Technologies Tavant Technologies is seeking a skilled AI Engineer to join our dynamic team. In this role, you will be responsible for developing and implementing ...

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

AI Engineer Must Have Technical/Functional Skills • 48+ years of experience in software engineering, ML engineering, or AI solution development • Strong proficiency in Java and experience • ...

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting top-tier professionals with exceptional ...

colonialgroup

AI Engineer

Savannah, GA

As a Mid-Level AI Engineer, this resource builds and maintains AI-powered workflows and agents that integrate with business systems. This role focuses on process optimization, solution/platform ...

colonialgroup

AI Engineer

Savannah, GA

As a Mid-Level AI Engineer, this resource builds and maintains AI-powered workflows and agents that integrate with business systems. This role focuses on process optimization, solution/platform ...

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Ai Engineer information

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$101.8K

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How much do ai engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does an AI Engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are the key skills and qualifications needed to thrive in the Ai Engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are some common challenges faced by AI Engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.
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Ai Engineer jobs near you
Infographic showing various Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Engineer

Distyl AI

New York, NY • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 hours 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
At Distyl, AI Engineers build and operate AI systems that deliver real business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and are excited to work directly on production AI systems that must perform reliably under real-world constraints.
AI Engineers are hands-on builders who design, deploy, and iterate on end-to-end AI systems. They work close to customers to understand real requirements, translate them into concrete system designs, and continuously improve system behavior through evaluation, iteration, and integration. Their focus is not on demos or experiments in isolation, but on making AI systems work in practice.
Key Responsibilities
  • Own the behavior and performance of AI systems deployed for customers
  • Design and implement compound AI workflows that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real SME needs
  • Operate on live systems, measuring behavior, identifying failure modes, and iterating rapidly to improve quality, reliability, and usefulness. This includes designing prompts and agent logic, building evaluation frameworks, integrating feedback loops, and using AI-driven tools to accelerate debugging and experimentation
  • Integrate AI systems into customer data platforms, APIs, and existing applications. You'll make pragmatic system design decisions that balance speed, robustness, and maintainability, and ensure systems remain understandable and operable over time
  • Work directly with customer stakeholders-often in high-visibility settings-and are expected to reason clearly about system behavior, tradeoffs, and limitations.
  • Take accountability for outcomes in production and adapt systems as requirements evolve

What We Require
  • 2+ years of software engineering experience
  • Ownership Mentality for AI Systems: You take responsibility for whether an AI system actually delivers its intended value in production. You are comfortable making independent technical decisions across system design, evaluation, and integration, and owning the results of those decisions
  • Experience Building AI Systems, Not Just Calling APIs: Built applications powered by LLMs or other AI models and are comfortable composing multiple components-prompts, agents, tools, retrieval, evaluators-into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes
  • Strong Engineering Fundamentals: Write clean, maintainable Python and are comfortable building and operating real systems. You understand core engineering concepts like versioning, debugging, testing, and performance, and can build systems that hold up under real usage and scrutiny
  • AI-Native Working Style: 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: Able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior and limitations, and can operate effectively in high-trust, high-visibility situations
  • Travel: Ability to travel 25-50%
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.
We're grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we're not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we've completed our review, regardless of the decision.
#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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