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Ai Application Developer Jobs (NOW HIRING)

BrainCo

AI Application Security Engineer

San Francisco, CA · On-site

$69.25 - $92.50/hr

Experience with SAST/DAST tooling or integrating automated security checks into developer workflows at scale. Why Join Us * Define what application and AI security looks like at a company building ...

Vangard, Inc.

AI Application Engineer

Charlotte, NC · On-site

Engineers who are quick to adopt emerging tools and techniques in the generative AI space. * Experience with Python and TypeScript; familiarity with Stencil is a plus * Experience with AWS e.g.

Klaviyo

Senior AI Application Engineer

Boston, MA · On-site

They are seeking a Senior AI Application Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools, focusing on applied AI research and full-stack ...

Advantest

AI Application Engineer Intern

San Diego, CA · On-site

The internship involves working with the Application Engineering team developing AI toolsets to enhance our process to develop test solutions on V93000 ATE.The Advantest 93000 platform is industry ...

Nvidia

OR · On-site

$95K - $131K/yr

NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you ...

Bigbear.ai

Sr. Application Developer

Washington, DC · Hybrid

$85K - $205K/yr

Overview BigBear.ai is seeking a Senior Application Developer to support the Defense Intelligence Agency (DIA). This position will be based out of Washington, D.C. and will offer remote flexibility.

BigBear.ai

Sr. Application Developer

Washington, DC · Hybrid

$108K - $149K/yr

Overview BigBear.ai is seeking a Senior Application Developer to support the Defense Intelligence Agency (DIA). This position will be based out of Washington, D.C. and will offer remote flexibility.

Bigbear.ai

Sr. Application Developer

Washington, DC · On-site

$105K - $144K/yr

Overview BigBear.ai is seeking a Senior Application Developer to support the Defense Intelligence Agency (DIA). This position will be based out of Washington, D.C. and will offer remote flexibility.

L3HHCM20

Specialist, Application Developer

Melbourne, FL

$79K - $146K/yr

Specialist, Application Developer Job Code: 38077 Job Location: (On Site) Melbourne, FL; Rochester ... Design, develop, test, and maintain AI-powered applications and automation solutions using modern ...

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Ai Application Developer information

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How much do ai application developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for ai application developer in the United States is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $60.58 per hour, depending on experience, location, and employer.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

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

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
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What cities are hiring for Ai Application Developer jobs? Cities with the most Ai Application Developer job openings:
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What job categories do people searching Ai Application Developer jobs look for? The top searched job categories for Ai Application Developer jobs are:
Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 61% Part Time, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $109,490 per year, or $52.6 per hour.
AI Application Security Engineer

AI Application Security Engineer

BrainCo

San Francisco, CA • On-site

$69.25 - $92.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

About Brain Co.
Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far:
  • Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value
  • Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses
  • Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work

Company momentum:
  • Raised a $55M Series A from leading investors
  • Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks

About the Role
As our Security Engineer, Application & AI, you will own the security of our products and application layer - secure development practices, agent security, third-party integration security, and data protection for AI products operating in some of the world's most regulated and sensitive environments.
This is a hands-on builder role. You will write code, ship security tooling, and work directly with product and ML engineers to build security in from the start rather than bolt it on after. You are expected to work AI-natively: using AI to write threat models, automate security review, scale code analysis, and build internal tooling. This is not a nice-to-have - it is how the role is designed to operate and how one person can have outsized impact across a fast-moving engineering organization.
Brain Co.'s products are built on agentic infrastructure - AI that takes actions, calls tools, and operates inside complex institutional workflows. The degree varies by product, but the underlying security surface is consistent: how agents are authorized, what they can touch, and how that is controlled at the application layer. This role is specifically designed to address that surface, working alongside the Infrastructure Security Engineer who owns the platform layer underneath.
What You'll Work On
Application Security
  • Own secure development practices across our products: AuthN/AuthZ patterns, secrets management, input handling, and secure-by-default standards that engineers can follow without security becoming a bottleneck.
  • Integrate security into the development lifecycle - code review, CI/CD pipelines, and pre-deployment checks - catching risk before it reaches production.
  • Conduct threat modeling across product features and release cycles, translating risk into concrete controls that ship alongside each product.
  • Build and maintain security tooling and automated checks that scale your reach across the codebase - using AI to move faster and cover more ground than manual review alone could.

Agent & Integration Security
  • Own the application-layer security model for Brain Co.'s agentic products - how agents are scoped, what they are authorized to do on behalf of users, and where trust boundaries sit between the agent and the external systems it touches.
  • Define secure patterns for how agents integrate with third-party systems and APIs: how credentials are stored and scoped, how responses are validated before being acted on, and how each product limits what agents can do with what they get back.
  • Work directly with product and ML engineers during feature development to define secure agent design patterns: tool scoping, permission boundaries, output validation, and safe handling of user context across multi-step workflows.
  • Build reusable secure-by-default patterns for agent development - design guidelines, review checklists, and code-level guardrails - so that security standards scale as new agent capabilities are built.
  • Produce security artifacts for agent features and product deployments: threat models, architecture reviews, and documentation that supports delivery into regulated customer environments.

Data Protection
  • Define and enforce data protection standards at the application layer - ensuring sensitive customer data (PHI, PII, government records) is handled correctly as it flows through AI pipelines and surfaces in agent outputs.
  • Build safeguards against unauthorized data exposure across our products: access controls, output filtering, and audit logging that make data handling attributable and reviewable.
  • Design secure data handling patterns for AI features operating on regulated data, working with platform and ML teams to ensure the application layer upholds its share of the data protection contract.

You Might Be a Great Fit If You...
  • Have 5+ years of experience in application security or product security, with hands-on experience on production systems at scale.
  • Are a builder first - you write code and ship security tooling, and see embedding security into the engineering workflow as the job, not a side effect of it.
  • Have deep fluency in application security fundamentals: OWASP Top 10, AuthN/AuthZ, secure SDLC, secrets management, secure integration patterns, and cryptography basics.
  • Understand the security surface of agentic AI across the product layer - how agents should be designed, scoped, and reviewed for risk - and can work shoulder-to-shoulder with engineers to build those standards in.
  • Have experience protecting sensitive data at the application layer: access controls, audit logging, and preventing data exposure through third-party integrations and AI-generated outputs.
  • Work AI-natively - you already use AI to write better code, move faster, and do more with less, and you bring that same instinct to security work.
  • Think in attack surfaces and trust boundaries and can move cleanly from threat model to concrete shipped control.
  • Are comfortable working alongside delivery teams shipping into regulated industries, understanding their constraints and translating them into product-level security requirements.
  • Thrive in high-agency environments and want to own and grow the application security function as the company scales.

Bonus Points For
  • Experience with agent security, LLM application security, or building authorization and guardrail systems for agentic pipelines.
  • Familiarity with compliance frameworks relevant to government and healthcare: FedRAMP, HIPAA, SOC 2, ISO 27001.
  • Proficiency in Python, Go, or TypeScript for security tooling and automation.
  • Experience with SAST/DAST tooling or integrating automated security checks into developer workflows at scale.

Why Join Us
  • Define what application and AI security looks like at a company building frontier AI for governments, hospitals, and critical industries - from the ground up.
  • Work directly alongside product and ML teams shipping agentic AI into some of the world's most demanding institutional environments.
  • Build the security function AI-natively - using the same technology you're helping secure to scale your own work and impact.
  • Work alongside senior engineers from Tesla, DeepMind, Databricks, and other top engineering organizations.
  • Ship fast, learn constantly, and see your work protect production systems used by millions of people.
  • Earn competitive compensation and meaningful equity in a high-growth company.

Benefits
  • Competitive salary plus equity
  • Daily lunches
  • Commuter benefits
  • 401(k)
  • Medical, Dental, and Vision
  • Unlimited PTO

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