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Applied Ai Engineer Jobs (NOW HIRING)

Rowspace

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a ...

IntelliTrans

Applied AI Engineer

Atlanta, GA · On-site

The Applied AI Engineer a key member of the AI and Data Science Team, responsible for designing, developing, and deploying production AI/ML systems that power IntelliTrans' intelligent freight ...

Amigo AI

Applied AI Engineer

San Francisco, CA · On-site

$130K - $240K/yr

As an Applied AI Engineer, you own the technical delivery of real deployments end to end. You design the agents, build them, and are on the hook for whether they work in the field. The team is small ...

Rowspace

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a ...

Serval Inc

Applied AI Engineer

San Francisco, CA · On-site

$200K - $325K/yr

Role Overview As an Applied AI Engineer at Serval, you'll help build the intelligence behind our platform - the foundational AI agents that reason, act, and automate complex IT workflows. Your work ...

Percepta

Applied AI Engineer

New York, NY · On-site

$150K - $400K/yr

About the role We're hiring Applied AI Engineers who will work directly with customer executives, operators, and technical teams to define and deliver high-impact AI systems. We don't build ...

Hygiena

Applied AI Engineer

Camarillo, CA · On-site

They are seeking an Applied AI Engineer to design and deploy machine learning models and integrate AI capabilities into their products, focusing on enhancing food safety solutions. Responsibilities ...

Rowspace

Applied AI Engineer

San Francisco, CA · On-site

$164K/yr

The Applied AI Engineer will implement cutting-edge AI research to build systems that understand financial contexts and enhance workflows in finance. Responsibilities : • Implement and adapt ...

Console

Applied AI Engineer

San Francisco, CA · On-site

They are seeking an Applied AI Engineer to enhance their core agent loop and AI workflows, ensuring reliability and speed as their system scales. Responsibilities : • Build intelligent agents that ...

Apple

Applied AI Engineer

Cupertino, CA

$184K - $277K/yr

We're looking for a hands-on Applied AI Engineer with strong software development skills and a passion for applying LLMs and Agentic workflows to real-world business problems. You will strengthen our ...

General Matter

Applied AI Engineer

Los Angeles, CA · On-site

They are seeking an Applied AI Engineer to accelerate engineering workflows by leveraging modern AI techniques to identify bottlenecks and build tools that enhance efficiency. Responsibilities : • ...

Hasbro

Applied AI Engineer

Boston, MA

We're building something new inside our AI Studio, and we're looking for an Applied AI Engineer to help shape it with us. This role sits at the center of a new and constantly evolving set of ...

Oscar Health

Applied AI Engineer

New York, NY · Hybrid

$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 ...

Apple

Applied AI Engineer

Cupertino, CA · On-site

We're looking for a hands-on Applied AI Engineer with strong software development skills and a passion for applying LLMs and Agentic workflows to real-world business problems. You will strengthen our ...

CodeRabbit

Applied AI Engineer

San Francisco, CA

$175K - $275K/yr

Role Overview As an Applied Gen AI Engineer at CodeRabbit, you'll play a central role in designing, building, and deploying advanced generative AI systems that power our code review and developer ...

Gradial

Applied AI Engineer

Seattle, WA

$130K - $220K/yr

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 ...

Material Bank

Applied AI Engineer

Raleigh, NC · On-site

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 ...

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All JobsApplied Ai Engineer Jobs

Applied Ai Engineer information

What is the salary of applied AI engineer?

The salary of an applied AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in machine learning, deep learning, or specific tools may offer higher compensation.

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 funding.

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.

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 executive roles, which offer compensation including salary, bonuses, and stock options that total around this amount. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in AI projects.

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.
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Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Applied AI Engineer

Rowspace

New York, NY • On-site

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

The Role
As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a typical week, you might build and productionize an agent in response to customer feedback, design evaluation frameworks for AI performance, and implement advanced retrieval systems to make the most of AI for finance workflows.
What You'll Do
  • Implement and adapt cutting-edge AI research to build systems that understand financial context and business concepts
  • Design retrieval pipelines that extract and synthesize insights from unstructured sources (PDFs, emails, presentations) with intelligent conflict resolution
  • Build agentic workflows that enable AI systems to reason about financial relationships, perform benchmarking, and conduct comparative analysis
  • Construct and maintain knowledge graphs that capture complex financial relationships, entity connections, and market dynamics
  • Create evaluation frameworks to measure and improve AI performance across investment research, due diligence, and portfolio monitoring tasks
  • Design and implement systems that maintain traceability from AI outputs to primary sources
  • Experiment with the latest LLM orchestration patterns and context management techniques for financial use cases
  • Shape technical direction and best practices for AI application development at Rowspace
  • Iterate rapidly with direct customer input, continuously refining AI systems based on real-world usage and feedback
  • Deploy and operate production systems end-to-end, with strong ownership over reliability, performance, and maintainability across the stack
What You Have
  • 3+ years of experience in machine learning, AI research, or applied AI engineering
  • Strong background in LLMs, RAG systems, and agentic AI workflows
  • Experience designing evaluation frameworks and benchmarks for AI systems
  • Interest or understanding of financial markets, investment processes, or quantitative finance (or strong interest in learning)
  • Experience with retrieval systems, embeddings, and multi-modal data processing
  • Publication record or demonstrated expertise in relevant AI research areas is a plus
  • Entrepreneurial mindset with ability to translate cutting-edge research into practical business value
  • Experience as a full-stack engineer is a plus (React/Typescript + Python/Node or similar)

Perks & Benefits
  • Health & Wellness: Comprehensive medical, dental, and vision insurance
  • Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
  • Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
  • Team Culture: Regular team offsites to bond and strategize away from the desk

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