Agentic AI Engineer Jobs
Agentic AI Engineer jobs are open across technology, enterprise software, healthcare, and financial services, from new-grad to principal and staff level, with specializations in multi-agent systems, LLM orchestration, and autonomous workflow design. Find a role that fits below and apply directly.
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Showing 4 of 509+ Agentic AI Engineer jobs
About the role
We're looking for a hands-on senior engineer and architect to turn our agentic AI work into secure, scalable products inside the TrustX platform. You'll set the technical direction and also write the code. You'll work across architecture, AWS, identity, security and APIs, and take prototypes all the way to production.
You'll help evolve our Agent Gateway and Model Context Protocol (MCP) capabilities, and strengthen how AI agents, users and enterprise services connect to each other securely.
We're keeping the team small. You'll use AI-assisted tools such as GitHub Copilot throughout your work so a few people can do the work of many. This is mainly an individual contributor role, with the chance to lead a small team as the product grows.
What you'll do
- Design and build agentic AI capabilities for TrustX.
- Evolve the Agent Gateway and MCP architecture and the services around it.
- Design how AI agents, users, applications and outside services connect securely, including authentication, authorization, delegation and trust for both people and non-human identities (OAuth 2.0, OIDC, JWTs, SPIFFE/SPIRE, workload identity).
- Build cloud-native services and APIs, mainly on AWS.
- Evaluate new agent protocols, identity standards and AI technologies, and decide what belongs in the product.
- Prototype quickly, then turn what works into production-quality code.
- Make practical architecture decisions that balance security, scalability, maintainability and speed. Set the patterns and reference architectures other engineers follow.
- Work with product, engineering, research, security and operations. Mentor, and lead a small team as the product grows.
Required
- 8+ years building and shipping commercial software, including production SaaS.
- Strong software engineering and system design skills.
- Hands-on AWS experience designing and running production services.
- Deep knowledge of OAuth 2.0, OpenID Connect, tokens and API security.
- Experience designing REST APIs and distributed services, and securely integrating separately operated systems.
- Solid grasp of containers and modern cloud deployment.
- Experience taking software from prototype to production.
- Experience building with LLMs or agent frameworks.
- Able to learn unfamiliar technology on your own and solve unclear problems.
- Clear communication with engineering and product teams about architecture decisions.
Preferred
- Experience with MCP, SPIFFE/SPIRE or workload identity.
- Background in identity, biometrics or authentication products.
- Experience leading or mentoring engineers.
- Daily use of AI-assisted development tools.
Join the brightest minds from around the globe as we build the future of digital identity!
Daon is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. We celebrate diversity and are dedicated to creating an environment where all employees feel valued, respected, and supported.
Daon is committed to making our hiring process accessible to everyone. If you need an adjustment at any stage, whether that’s the application, an interview, or an assessment, tell us and we’ll work with you to make it happen. Contact HR@daon.com and include the role you’re applying for. Your request will be kept confidential and will not affect how we consider your application.
About the role
We're looking for a hands-on senior engineer and architect to turn our agentic AI work into secure, scalable products inside the TrustX platform. You'll set the technical direction and also write the code. You'll work across architecture, AWS, identity, security and APIs, and take prototypes all the way to production.
You'll help evolve our Agent Gateway and Model Context Protocol (MCP) capabilities, and strengthen how AI agents, users and enterprise services connect to each other securely.
We're keeping the team small. You'll use AI-assisted tools such as GitHub Copilot throughout your work so a few people can do the work of many. This is mainly an individual contributor role, with the chance to lead a small team as the product grows.
What you'll do
- Design and build agentic AI capabilities for TrustX.
- Evolve the Agent Gateway and MCP architecture and the services around it.
- Design how AI agents, users, applications and outside services connect securely, including authentication, authorization, delegation and trust for both people and non-human identities (OAuth 2.0, OIDC, JWTs, SPIFFE/SPIRE, workload identity).
- Build cloud-native services and APIs, mainly on AWS.
- Evaluate new agent protocols, identity standards and AI technologies, and decide what belongs in the product.
- Prototype quickly, then turn what works into production-quality code.
- Make practical architecture decisions that balance security, scalability, maintainability and speed. Set the patterns and reference architectures other engineers follow.
- Work with product, engineering, research, security and operations. Mentor, and lead a small team as the product grows.
Required
- 8+ years building and shipping commercial software, including production SaaS.
- Strong software engineering and system design skills.
- Hands-on AWS experience designing and running production services.
- Deep knowledge of OAuth 2.0, OpenID Connect, tokens and API security.
- Experience designing REST APIs and distributed services, and securely integrating separately operated systems.
- Solid grasp of containers and modern cloud deployment.
- Experience taking software from prototype to production.
- Experience building with LLMs or agent frameworks.
- Able to learn unfamiliar technology on your own and solve unclear problems.
- Clear communication with engineering and product teams about architecture decisions.
Preferred
- Experience with MCP, SPIFFE/SPIRE or workload identity.
- Background in identity, biometrics or authentication products.
- Experience leading or mentoring engineers.
- Daily use of AI-assisted development tools.
Join the brightest minds from around the globe as we build the future of digital identity!
Daon is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. We celebrate diversity and are dedicated to creating an environment where all employees feel valued, respected, and supported.
Daon is committed to making our hiring process accessible to everyone. If you need an adjustment at any stage, whether that’s the application, an interview, or an assessment, tell us and we’ll work with you to make it happen. Contact HR@daon.com and include the role you’re applying for. Your request will be kept confidential and will not affect how we consider your application.
Agentic AI Engineer Jobs by Experience Level
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Find Agentic AI Engineer JobsAgentic AI Engineer Job Market
Who's Hiring
- Amazon Web Services30
- Capital One29
- Intuit19
- JPMorganChase17
- Amazon13
Top Industries Hiring
- Technology & Software21
- Science & Research4
- Banking & Financial Services3
- Biotechnology & Pharmaceuticals3
- Fintech2
What Employers Look For
The qualifications that appear most often in agentic AI engineer jobs.
- Proficiency building multi-agent systems using frameworks such as LangGraph, AutoGen, or CrewAI
- Experience integrating large language models via APIs including OpenAI, Anthropic, or open-source alternatives
- Strong Python skills with hands-on experience in prompt engineering and tool-use patterns
- Familiarity with agent memory management, retrieval-augmented generation, and vector databases
- Ability to design evaluation frameworks and observability pipelines for autonomous agents in production
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
Tips for Your Agentic AI Engineer Job Search
Show agentic systems you have shipped
Recruiters hiring for this role want to see autonomous pipelines you built end to end, not just familiarity with frameworks. Document the agent architecture, the tool-use patterns, and what failure modes you handled in each project on your resume.
Name the orchestration frameworks you know
Job postings for agentic AI engineers almost always list specific frameworks like LangGraph, AutoGen, or CrewAI. Match your resume language to the exact tools in each posting so your application clears automated screening before a human ever reads it.
Apply early to roles that fit
Migrate Mate lists agentic ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that specify agent evaluation
Roles that mention evaluation, observability, or guardrails signal a team building production-grade systems rather than prototypes. Prioritize those openings and prepare concrete examples of how you measured and improved agent reliability in past work.
Prepare for a live agent-building screen
Many interviews for this role include a technical screen where you design or extend a multi-agent system under time pressure. Practice narrating your architectural decisions out loud, because interviewers want to follow your reasoning as much as the final output.
Negotiate scope alongside compensation
Agentic AI is moving fast enough that your access to compute, model APIs, and production deployment authority matters as much as title. When you receive an offer, ask directly which systems you will own end to end and what your budget for inference costs looks like.
Agentic AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most agentic ai engineers?
Amazon Web Services, Capital One, and Intuit are hiring the most agentic ai engineers right now, with openings concentrated in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is especially strong at enterprise software companies and AI-native startups building workflow automation products.
How many agentic ai engineer jobs are remote?
About 77% of agentic ai engineer openings are fully remote or hybrid as of November 2026, reflecting how broadly distributed this talent pool is. Roles focused on prompt engineering, agent evaluation, and backend orchestration tend to be the most remote-friendly, while positions requiring close collaboration with product and design teams more often ask for in-office presence.
How do you become a agentic ai engineer?
Start by building a strong foundation in Python and machine learning fundamentals, then move into large language model APIs and prompt engineering. From there, work through hands-on projects that involve chaining models, adding tool use, and managing agent memory. Publish those projects publicly, contribute to open-source orchestration frameworks, and apply to roles that list the specific tools you have used.
How do you get hired as a agentic ai engineer with little experience?
Build and ship a small but complete agentic system, even a personal project, that demonstrates you understand tool calling, memory, and failure handling rather than just model prompting. Document your architecture decisions in a write-up alongside the code. Apply to teams that are actively growing their AI infrastructure, since those hiring managers are more likely to weigh demonstrated initiative over years of experience.
What does the agentic ai engineer interview process look like?
Expect a recruiter screen followed by a technical phone interview focused on your experience with LLM APIs and agent frameworks. The core stage is usually a system design or live-coding round where you sketch or build a multi-agent workflow, explain how you handle tool failures, and discuss evaluation strategies. Final rounds often include a discussion with a senior engineer or engineering manager about production reliability and scaling challenges.
Where can I find and apply to agentic ai engineer jobs?
You can find and apply to agentic ai engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings for roles that match your specialization and experience level, then apply directly to each one that fits.
See All 509+ Agentic AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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