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Applied Ai Engineer Jobs (NOW HIRING)

The Role We're looking for an Applied AI Engineer to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI ...

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic "operating system" that powers how we work as a company. In this ...

PURPOSE OF THE JOB The Applied AI Engineer is responsible for developing, deploying, and maintaining applied generative AI solutions that support the organization's insurance products, internal ...

Applied AI Engineer

$225K - $275K/yr

Battle-tested context engineering practices - you reason clearly about the limits of AI and architect around them * Experience with distributed systems architecture applied to AI or data platforms ...

Role Overview As an Applied AI Engineer, you will design and deploy the AI agents that power PermitFlow's pre-construction platform. You will own the full lifecycle of intelligent agents-from model ...

PURPOSE OF THE JOB The Applied AI Engineer is responsible for developing, deploying, and maintaining applied generative AI solutions that support the organization's insurance products, internal ...

Senior Applied AI Engineer

Manhattan, NY · Hybrid

$115K - $157K/yr

Senior Applied AI Engineer Team : Global Quality Engineering Location : New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Senior Applied AI Engineer to ...

PURPOSE OF THE JOB The Applied AI Engineer is responsible for developing, deploying, and maintaining applied generative AI solutions that support the organization's insurance products, internal ...

Senior Applied AI Engineer

Burbank, CA · Hybrid

$111K - $152K/yr

Senior Applied AI Engineer Team : Global Quality Engineering Location : New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Senior Applied AI Engineer to ...

PURPOSE OF THE JOB The Applied AI Engineer is responsible for developing, deploying, and maintaining applied generative AI solutions that support the organization's insurance products, internal ...

PURPOSE OF THE JOB The Applied AI Engineer is responsible for developing, deploying, and maintaining applied generative AI solutions that support the organization's insurance products, internal ...

Applied AI Engineer

New York, NY · On-site

$175K - $250K/yr

Role Overview As an Applied AI Engineer, you will design and deploy the AI agents that power PermitFlow's pre-construction platform. You will own the full lifecycle of intelligent agents-from model ...

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Applied AI Engineer

Chandler, AZ · On-site

$60 - $95/hr

As an Applied AI Engineer, you will design and implement AI-assisted automation to improve software development workflows within an established DevSecOps and software factory environment. This role ...

They are seeking an Applied AI Engineer to develop and scale their platform, enhancing the delivery of life-saving treatments through innovative AI/ML applications. Responsibilities : • Help ...

Applied AI Engineer

New York, NY · On-site

$163K - $236K/yr

We're hiring an Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar ...

Applied AI Engineer

Manhattan, NY · On-site

$210K - $230K/yr

Applied AI Engineer Most of what makes American healthcare expensive isn't medical care. It's the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed ...

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Applied Ai Engineer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What are the key skills and qualifications needed to thrive as an Applied AI Engineer, and why are they important?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

Is applied AI engineer a good career?

Applied AI engineers develop and implement artificial intelligence solutions, often requiring skills in machine learning, programming, and data analysis. The field offers strong job growth, competitive salaries, and opportunities across various industries such as technology, healthcare, and finance.

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 scientist, or AI director, 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 salaries are common in large tech companies or specialized AI firms for experienced professionals with a strong track record.

What are some common challenges Applied AI Engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.
More about Applied Ai Engineer jobs
What cities are hiring for Applied Ai Engineer jobs? Cities with the most Applied Ai Engineer job openings:
What states have the most Applied Ai Engineer jobs? States with the most job openings for Applied Ai Engineer jobs include:
Infographic showing various Applied Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 77% In-person, and 23% Remote job distribution.

$130K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

The Role

We're looking for an Applied AI Engineer to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI can be practically applied to solve real user problems.

You'll collaborate across product, research, and engineering to design agents that reason, interact with environments and evolve through feedback. Ideal candidates bring curiosity, a love of ambiguous problems, and hands-on experience applying LLMs in production.

What You'll Own

  • Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.
  • Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems.
  • Design modular frameworks for tools, memory, and evaluators to enable continuous learning and improvement of agents.
  • Develop data pipelines to collect, transform, and annotate real-world usage data for SFT and RL training.
  • Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.
  • Partner with customers and internal stakeholders to understand edge cases and align AI behaviors with user expectations.

What We're Looking For

  • 4+ years of software engineering experience, with at least a year working directly on AI/ML-powered applications. 
  • Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs). 
  • Practical understanding of LLMs, prompt engineering and agentic architectures.
  • Experience building production systems that integrate external environments - code execution, browser automation or API orchestration.
  • High degree of ownership and comfort in experimental, fast-moving environments.

Nice to Have

  • Familiarity with benchmarks like SWE-bench or evaluation strategies for tool-using agents.
  • Exposure to customer-facing roles or user research for AI product development.
  • Background in reinforcement learning or data-centric AI approaches.

Compensation

The salary range for this position is $130,000 - $220,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs.