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Ai Engineer Jobs (NOW HIRING)

h2o.ai

AI Engineer

Dallas, TX · On-site

$103K - $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 ...

Cognition AI

Applied AI Engineer

Manhattan, NY

Applied AI Engineer We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent ...

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 ...

Leidos

AI Engineer

San Diego, CA

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 ...

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 ...

Hippocratic AI

Staff AI Engineer

Menlo Park, CA · On-site

About the Role As a Staff AI Engineer at Hippocratic AI, you'll set the technical direction for voice-based generative AI in healthcare. You'll architect the intelligent systems that power our ...

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 • ...

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 ...

Programmers.io

AI Engineer

Denver, CO · On-site

Seeking an AI Engineer to build and integrate AI solutions. Key Requirements: • AI/ML development • Python and AI frameworks • LLM integration and prompting • APIs and pipelines • ...

colonialgroup

AI Engineer

Savannah, GA · On-site

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 · On-site

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 ...

Cyclotron, Inc.

AI Engineer

$100K - $140K/yr

AI Engineer Location: Remote (US or Canada) Rate: $90,000-$140,000 USD (rates vary in Canada) Position Overview Cyclotron's AI Engineering team is hiring an AI Engineer to help deliver production AI ...

Eloquent AI

AI Engineer, Platform

San Francisco, CA · On-site

As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You'll work across the ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

Avathon

AI Engineer

Pleasanton, CA · On-site

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade ...

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How much do ai engineer jobs pay per year?

As of Jun 21, 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, advanced skills, and specialized knowledge in AI tools and frameworks can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Achieving this level often requires advanced degrees, certifications, 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 a senior AI engineer, research scientist, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options. Such compensation levels are rare and generally found in large tech companies or startups with significant AI initiatives.

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, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

How much is an AI engineer paid?

The salary of an AI engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior AI engineers with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries, especially in tech hubs or large companies.

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

AI Engineer

h2o.ai

Dallas, TX • On-site

$103K - $142K/yr

Full-time

Posted 28 days ago

Job description

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 develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control.
Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
For more information, visit www.h2o.ai.
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 agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.
You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.
What You Will Do
Agentic AI & LLM Engineering
  • Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers.
  • Develop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool use.
  • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety.
  • Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best of it into customer engagements.

End-to-End AI Application Development
  • Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment.
  • Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows.
  • Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale.
  • Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production.

Customer Engagement & Delivery
  • Work directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutions.
  • Contribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trust.
  • Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders.
  • Collaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high-quality solutions.

What We Are Looking For
Experience & Background
  • 3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment.
  • Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar.
  • Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent).
  • Experience deploying models and AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes).

Skills & Capabilities
  • Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps.
  • Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM.
  • Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications.
  • Strong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering quality.
  • Clear communicator who can explain complex AI systems to non-technical stakeholders without oversimplifying.

Nice to Have
  • Kaggle or competitive ML experience.
  • Familiarity with H2O.ai products, Wave, or H2O Document AI.
  • Experience in financial services, healthcare, or other regulated industry AI deployments.
  • Exposure to tabular foundation models, AutoML, or enterprise ML platforms.
  • Prior experience in a customer-facing or field engineering role.

Why H2O.ai
  • Build production AI systems alongside the world's top Kaggle Grandmasters.
  • Work on real enterprise problems across APAC's most innovative organizations.
  • Remote-friendly culture with a flexible, high-trust working environment.
  • Market-competitive total rewards package.
  • Clear pathways for growth into senior technical leadership, architecture, or research roles.
  • Mission-driven company building AI for Good.

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose.
Please visit www.H2O.ai to learn more.
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About H2O.ai

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

Social media

Twitter

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