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Ai Engineer Jobs (NOW HIRING)

Distyl AI

AI Engineer

New York, NY · On-site

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 ...

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 ...

Tek Pyramids

AI Engineer

Manhattan, NY · On-site

AI Engineer NYC, NY 12+ Months Phone/Video Hire Requirements : * 6+ years of experience as a Software Engineer, AI Engineer, Platform Engineer, or related technical role. * Strong production ...

Cantor Fitzgerald Securities

AI Engineer

Manhattan, NY · On-site

$300K - $350K/yr

At FMX Services, LLC, we are looking for an experienced AI Engineer to join our dynamic team in the Fenics UST Development department. In this role, you will play a crucial part in designing and ...

Cantor Fitzgerald Securities

AI Engineer

Manhattan, NY

$300K - $350K/yr

At FMX Services, LLC, we are looking for an experienced AI Engineer to join our dynamic team in the Fenics UST Development department. In this role, you will play a crucial part in designing and ...

East West Bank

AI Engineer

Pasadena, CA · On-site

$150K/yr

Overview East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This senior technical ...

ScrumLink, Inc.

AI Engineer

Jersey City, NJ · On-site

AI Engineer Location: Atlanta, GA and Jersey City Duration : 12+ Months AI Engineer -/ LLM Systems / AgentOps Role Summary The AI Engineer is responsible for building and deploying Large Language ...

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical ...

New

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical ...

New

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical ...

New

P-1 AI

AI Engineer

San Francisco, CA · On-site

$200K - $290K/yr

At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie's anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in ...

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 ...

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 ...

AI Fund

AI Engineer

Mountain View, CA · On-site

They are looking for an AI Engineer to work in their Learning Experience Lab, where the role involves developing new AI products and features to enhance educational experiences. Responsibilities ...

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 ...

Qaurs Techno Systems LLC

AI Engineer

Charlotte, NC · On-site

$50K - $60K/yr

Experience: 5 + Years AI Engineer Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional ...

Scout AI

AI Engineer

Sunnyvale, CA

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion for developing and deploying multimodal foundation models that power autonomous teams of robots. Your ...

East West Bank

AI Engineer

Pasadena, CA

East West Bank is seeking an experienced Senior AI Engineering to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This senior technical leader will ...

Hexaware Technologies, Inc

"AI Engineer"

Reston, VA · On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders, and product teams to build scalable AI-powered applications, Generative AI solutions, and ...

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$95K - $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 • ...

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How much do ai engineer jobs pay per year?

As of Jul 12, 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 engineers make $500,000?

Senior AI engineers, machine learning engineers, and data scientists with extensive experience and advanced skills in AI, deep learning, and programming can earn $500,000 or more annually, especially in high-demand industries or at large tech companies. Achieving this level often requires specialized expertise, advanced degrees, and a strong track record of impactful projects.

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.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research director, or AI architect, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, programming languages like Python or Java, and data processing tools, often collaborating with data scientists and software developers. Their responsibilities include designing AI systems, optimizing models, and ensuring their integration into applications or products.

What does an AI engineer do?

An AI engineer designs, develops, and implements artificial intelligence models and systems, such as machine learning algorithms and neural networks. They work with data, programming languages like Python, and tools like TensorFlow or PyTorch to create solutions that enable machines to perform tasks typically requiring human intelligence.

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.

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Ai Engineer jobs near you

AI Engineer

Distyl AI

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 12 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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