Remote AI Application Engineer Jobs
Remote AI Application Engineer jobs are open across software development, fintech, healthcare technology, and enterprise SaaS at companies running fully distributed teams, from early-career roles at remote-first startups to senior positions on AI platform teams at established tech organizations. Employers hiring remotely right now include Saarthee, University of San Diego, and Enlyte. See the openings below and apply to the ones that match your experience.
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Showing 4 of 30+ Remote AI Application Engineer jobs
Job Description
Position: Application Security Engineer (AI Governance & Cloud Security)
Reports To: Director, IT, Info Security and Compliance
Job Overview
Reveal is hiring an Application Security Engineer to secure how we build software and how we adopt AI. This role sits at the point where three things meet: the security of the code and services we ship, the governance of the AI agents and models we put into production, and the posture of the cloud they all run on.
You will own the tooling that makes that possible — Onyx Security as the control plane for AI agents and models, and Wiz across our cloud accounts and repositories — and you will be the person engineering teams come to when a design, a pipeline or a new AI tool needs a security opinion. The work is hands-on: threat modeling, code review, remediation alongside the teams that own the fix, and the policy and reporting that lets leadership and auditors see where we stand.
This role follows a hybrid model (4 days in office, 1 day work from home) for candidates residing in Illinois. Candidates based outside of Illinois may be considered for a remote work arrangement.
Responsibilities & Duties
- Application security: Run threat modeling and secure design reviews for new features, services and integrations.
- Application security: Perform manual code review and triage findings from SAST, DAST, SCA and secrets scanning.
- Application security: Embed security checks into CI/CD pipelines without slowing delivery.
- Application security: Lead remediation with engineering teams and track findings to closure against SLAs.
- Application security: Support penetration tests, bug reports and customer security questionnaires.
- AI governance: Own the Onyx Security platform as the control plane for AI agents and models across SaaS, cloud, endpoints and code.
- AI governance: Use Onyx AI Observability to discover sanctioned and shadow AI, and review prompts, responses and agent actions.
- AI governance: Write and enforce natural-language governance policies and real-time guardrails in Onyx.
- AI governance: Manage agent permissions and secure MCP server connections to prevent over-privileged access.
- AI governance: Detect and respond to prompt injection, data exfiltration and AI misuse, and tune Onyx Guardian Agent remediation.
- AI governance: Maintain the AI acceptable-use policy, AI inventory and risk assessments with GRC, mapped to NIST AI RMF and ISO/IEC 42001.
- AI governance: Evaluate new AI tools, agents and vendors before adoption, and report AI adoption and risk metrics to leadership.
- Cloud and code security: Own Wiz configuration, integrations, policies and alert routing across cloud accounts.
- Cloud and code security: Triage Wiz Issues and toxic combinations, and drive fixes for misconfigurations, vulnerabilities and exposed secrets.
- Cloud and code security: Use Wiz Code and IaC scanning to catch risk in repositories and Terraform before deployment.
- Cloud and code security: Use Wiz AI Security Posture Management (AI-SPM) to inventory AI services and models running in the cloud.
- Cloud and code security: Build reports and dashboards on cloud risk trends for Security leadership and audits.
- Perform other duties and responsibilities as assigned to support team, department, and organizational goals.
Characteristics
- Breadth across domains: comfortable moving between application security, AI governance and cloud posture rather than specialising in only one.
- Investigative mindset: naturally curious, and inclined to dig into an alert or a finding until the underlying cause is understood.
- Proactive problem solver: anticipates security issues at design time rather than discovering them at deployment.
- Autonomous and collaborative: takes ownership of the role and works effectively with distributed engineering teams.
- Clear communicator: can explain the same risk to an engineer, to leadership and to an auditor, and be understood by all three.
Education & Experience
- 4+ years in application security, product security or security engineering.
- Solid grasp of OWASP Top 10, OWASP Top 10 for LLM Applications and agentic AI risks, including Model Context Protocol (MCP) security.
- Ability to read and review code in at least one of Python, JavaScript/TypeScript, Java or C#.
- Experience securing AWS, Azure or GCP workloads, containers and Kubernetes.
- Familiarity with CI/CD tooling (GitHub Actions, GitLab CI or Azure DevOps) and infrastructure as code.
- Clear written communication for engineers, leadership and auditors.
Preferred Experience
- Experience building an AI governance program: AI inventory, model risk reviews, acceptable-use policy.
- Hands-on experience with Wiz, including policy tuning, Issue triage and integrations (Jira, Slack, SIEM).
- Hands-on experience with Onyx Security or a comparable AI security and governance platform, including AI discovery, guardrails and agent permissions.
- Knowledge of NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
- Experience supporting SOC 2, ISO 27001 or FedRAMP audits.
- Background in legal tech, eDiscovery or other environments handling sensitive client data.
- Scripting for automation (Python, Bash, Ruby) and experience with the Wiz API.
- Certifications such as OSWE, GWAPT, CSSLP, CCSP or AWS Security Specialty, or the Wiz certifications.
Benefits and Perks include but are not limited to:
- 401k match program
- Comprehensive health benefits (Medical, Dental, Vision, and HSA/FSA)
- Group Term Life Insurance and Voluntary Life Insurance option
- Paid holidays
- Paid vacation, sick, and personal days
- FSA dependent care benefit
- Childbirth recovery and bonding leave policies
- Short and long-term disability benefits
- Access to onsite gym and recreational area at our Chicago office
- Friendly, collaborative, in-office work environment with ample opportunity for professional development.
For Illinois-based roles, the budgeted annual salary range is $ 136,000 to $ 160,000. Compensation for this role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience, and may fall outside of the range shown. Reveal offers a competitive total rewards package, which includes the Benefits and Perks set forth above.
This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.
Hiring Policy
Reveal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reveal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Reveal considers candidates with existing visas but does not sponsor new visa applications.
Job Description
Position: Application Security Engineer (AI Governance & Cloud Security)
Reports To: Director, IT, Info Security and Compliance
Job Overview
Reveal is hiring an Application Security Engineer to secure how we build software and how we adopt AI. This role sits at the point where three things meet: the security of the code and services we ship, the governance of the AI agents and models we put into production, and the posture of the cloud they all run on.
You will own the tooling that makes that possible — Onyx Security as the control plane for AI agents and models, and Wiz across our cloud accounts and repositories — and you will be the person engineering teams come to when a design, a pipeline or a new AI tool needs a security opinion. The work is hands-on: threat modeling, code review, remediation alongside the teams that own the fix, and the policy and reporting that lets leadership and auditors see where we stand.
This role follows a hybrid model (4 days in office, 1 day work from home) for candidates residing in Illinois. Candidates based outside of Illinois may be considered for a remote work arrangement.
Responsibilities & Duties
- Application security: Run threat modeling and secure design reviews for new features, services and integrations.
- Application security: Perform manual code review and triage findings from SAST, DAST, SCA and secrets scanning.
- Application security: Embed security checks into CI/CD pipelines without slowing delivery.
- Application security: Lead remediation with engineering teams and track findings to closure against SLAs.
- Application security: Support penetration tests, bug reports and customer security questionnaires.
- AI governance: Own the Onyx Security platform as the control plane for AI agents and models across SaaS, cloud, endpoints and code.
- AI governance: Use Onyx AI Observability to discover sanctioned and shadow AI, and review prompts, responses and agent actions.
- AI governance: Write and enforce natural-language governance policies and real-time guardrails in Onyx.
- AI governance: Manage agent permissions and secure MCP server connections to prevent over-privileged access.
- AI governance: Detect and respond to prompt injection, data exfiltration and AI misuse, and tune Onyx Guardian Agent remediation.
- AI governance: Maintain the AI acceptable-use policy, AI inventory and risk assessments with GRC, mapped to NIST AI RMF and ISO/IEC 42001.
- AI governance: Evaluate new AI tools, agents and vendors before adoption, and report AI adoption and risk metrics to leadership.
- Cloud and code security: Own Wiz configuration, integrations, policies and alert routing across cloud accounts.
- Cloud and code security: Triage Wiz Issues and toxic combinations, and drive fixes for misconfigurations, vulnerabilities and exposed secrets.
- Cloud and code security: Use Wiz Code and IaC scanning to catch risk in repositories and Terraform before deployment.
- Cloud and code security: Use Wiz AI Security Posture Management (AI-SPM) to inventory AI services and models running in the cloud.
- Cloud and code security: Build reports and dashboards on cloud risk trends for Security leadership and audits.
- Perform other duties and responsibilities as assigned to support team, department, and organizational goals.
Characteristics
- Breadth across domains: comfortable moving between application security, AI governance and cloud posture rather than specialising in only one.
- Investigative mindset: naturally curious, and inclined to dig into an alert or a finding until the underlying cause is understood.
- Proactive problem solver: anticipates security issues at design time rather than discovering them at deployment.
- Autonomous and collaborative: takes ownership of the role and works effectively with distributed engineering teams.
- Clear communicator: can explain the same risk to an engineer, to leadership and to an auditor, and be understood by all three.
Education & Experience
- 4+ years in application security, product security or security engineering.
- Solid grasp of OWASP Top 10, OWASP Top 10 for LLM Applications and agentic AI risks, including Model Context Protocol (MCP) security.
- Ability to read and review code in at least one of Python, JavaScript/TypeScript, Java or C#.
- Experience securing AWS, Azure or GCP workloads, containers and Kubernetes.
- Familiarity with CI/CD tooling (GitHub Actions, GitLab CI or Azure DevOps) and infrastructure as code.
- Clear written communication for engineers, leadership and auditors.
Preferred Experience
- Experience building an AI governance program: AI inventory, model risk reviews, acceptable-use policy.
- Hands-on experience with Wiz, including policy tuning, Issue triage and integrations (Jira, Slack, SIEM).
- Hands-on experience with Onyx Security or a comparable AI security and governance platform, including AI discovery, guardrails and agent permissions.
- Knowledge of NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
- Experience supporting SOC 2, ISO 27001 or FedRAMP audits.
- Background in legal tech, eDiscovery or other environments handling sensitive client data.
- Scripting for automation (Python, Bash, Ruby) and experience with the Wiz API.
- Certifications such as OSWE, GWAPT, CSSLP, CCSP or AWS Security Specialty, or the Wiz certifications.
Benefits and Perks include but are not limited to:
- 401k match program
- Comprehensive health benefits (Medical, Dental, Vision, and HSA/FSA)
- Group Term Life Insurance and Voluntary Life Insurance option
- Paid holidays
- Paid vacation, sick, and personal days
- FSA dependent care benefit
- Childbirth recovery and bonding leave policies
- Short and long-term disability benefits
- Access to onsite gym and recreational area at our Chicago office
- Friendly, collaborative, in-office work environment with ample opportunity for professional development.
For Illinois-based roles, the budgeted annual salary range is $ 136,000 to $ 160,000. Compensation for this role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience, and may fall outside of the range shown. Reveal offers a competitive total rewards package, which includes the Benefits and Perks set forth above.
This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.
Hiring Policy
Reveal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reveal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Reveal considers candidates with existing visas but does not sponsor new visa applications.
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Find JobsRemote AI Application Engineer Job Market
Who's Hiring
Top Industries Hiring
- Education
- Insurance
- Automotive
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote AI application engineer jobs.
- Professional experience building and deploying LLM-powered applications in production environments
- Proficiency with Python and at least one orchestration framework such as LangChain or LlamaIndex
- Hands-on experience with vector databases and retrieval-augmented generation pipelines
- Ability to integrate third-party AI APIs and manage prompt engineering at scale
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model serving
- Bachelor's degree in computer science, software engineering, or a closely related technical field
Tips for Your Remote AI Application Engineer Job Search
Show deployed AI projects in your portfolio
Remote employers can't watch you code, so your portfolio carries more weight than your resume. Link to live applications or documented GitHub repos that show you've integrated language models, retrieval systems, or external APIs into something that actually runs.
Signal async communication skills explicitly
Remote ai application engineer teams run on written communication. Mention experience with async tools like Slack, Notion, or Linear in your application materials, and write your cover letter or application responses in a way that demonstrates clarity and structure without back-and-forth.
Apply early to remote roles that fit
Migrate Mate lists remote ai application engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through location-filtered results on general job boards.
Prepare for async technical screens
Many remote-first companies use take-home assignments or async coding assessments instead of live whiteboard interviews. Practice building small AI application prototypes under time constraints, and document your reasoning clearly in a README, since reviewers judge your thinking, not just your output.
Remote AI Application Engineer Jobs: Frequently Asked Questions
How do I get a remote ai application engineer job?
Remote ai application engineer roles go to candidates who can demonstrate self-direction and clear async written communication alongside strong technical skills. Remote-first companies and distributed AI teams screen heavily for experience integrating and deploying models using tools like LangChain, OpenAI APIs, and vector databases. A portfolio of shipped AI applications, documented clearly on GitHub or a personal site, gives you a concrete edge over candidates who list skills without evidence.
Which companies hire remote ai application engineers?
Employers currently hiring remote ai application engineers include Saarthee, University of San Diego, and Enlyte, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, enterprise AI platform teams, and distributed fintech and healthcare technology firms are the most active hirers of this role.
Can you get a remote ai application engineer job with no experience?
Yes, but remote entry-level ai application engineer roles are harder to land because you're expected to work independently with minimal hand-holding from day one. Remote-first startups building AI-powered products are the most likely to hire early-career engineers. Showing a deployed side project that integrates a language model or an external API, along with clean documentation and async communication skills, does more for your candidacy than a blank resume.
Do you need a degree for remote ai application engineer jobs?
Not always. Many remote employers care more about what you've built and deployed than where you studied. A strong portfolio of AI applications, familiarity with model integration frameworks, and demonstrated ability to work asynchronously can outweigh a traditional computer science degree at remote-first companies, though some larger enterprise organizations still list a degree as a formal requirement.
Which industries hire the most remote ai application engineers?
The sectors hiring the most remote ai application engineers are Education, Insurance, and Automotive, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams building AI-powered products and internal tooling, making remote ai application engineer roles a natural fit across their hiring pipelines.
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Find roles that match your experience and apply in just a few clicks.
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