Remote Agentic AI Engineer Jobs
Remote Agentic AI Engineer jobs are open across AI infrastructure, enterprise software, and research-focused technology companies, from early-career roles at remote-first startups to senior positions on distributed product and platform teams. Employers hiring remotely right now include cyara, NVIDIA, and Steer. See the openings below and apply to the ones that match your experience.
Find JobsOverview
Showing 5 of 59+ Remote Agentic AI Engineer jobs
At Clario, part of Thermo Fisher Scientific, we develop regulated technology that helps unlock better evidence and improve patient outcomes worldwide. Our software platforms support clinical trials, diagnostics, and medical decision-making in highly controlled regulatory environments.
Clario is building an enterprise platform that enables teams across the organization to build, deploy, and govern AI agents safely and at scale. As our Digital Product Manager, Agentic AI Platform, you'll own the product vision, strategy, and roadmap, driving adoption and scaling the platform from pilot to company-wide use. You'll collaborate with technical and business teams, translate complex AI concepts into practical solutions, and demonstrate measurable business value. If you're passionate about AI innovation and turning emerging technologies into impactful products, we'd love to hear from you.
What We Offer
- Competitive compensation
- Comprehensive health and dental coverage
- Paid time off and company holidays
- Flexible remote work arrangements
- Employee wellness and professional development programs
What You'll Be Doing
- Define and own the product vision, strategy, and roadmap for the enterprise Agentic AI Platform, prioritizing reusable capabilities, platform scalability, and business needs.
- Translate stakeholder requirements into actionable product initiatives, user stories, acceptance criteria, and prioritized backlogs, working closely with engineering, architecture, data science, and UX teams.
- Develop working AI agent prototypes, workflows, and proofs of concept using AI-assisted or low-code tools to validate ideas, demonstrate capabilities, and support product decisions.
- Drive platform adoption by collaborating with business teams, communicating AI concepts clearly, improving user experience, and supporting onboarding and knowledge sharing.
- Establish and monitor product KPIs, including adoption, reliability, cost efficiency, user satisfaction, and ROI, ensuring AI initiatives deliver measurable business value.
- Integrate Responsible AI, security, privacy, and compliance considerations into product development while supporting Agile delivery, stakeholder alignment, and continuous improvement.
What We Look For
- Bachelor's degree in a technical, business, or related field, or equivalent professional experience.
- 5+ years of experience in product management, product ownership, or related roles involving enterprise technology, data, AI/ML, or platform products. Candidates with less experience and direct AI or developer platform ownership will also be considered.
- Understanding of agentic AI principles, AI/ML concepts, agent workflows, and their practical applications, with the ability to communicate and explain these concepts to diverse audiences.
- Experience defining product strategy, building roadmaps, managing priorities, and translating business requirements into scalable technology solutions.
- Familiarity with cloud platforms, APIs, and AI development technologies, with AWS and agent frameworks such as LangGraph or LangChain considered advantageous.
- Experience with product discovery, rapid prototyping, AI-assisted development tools, or early-stage solution validation.
- Ability to define product value propositions, establish performance metrics, and demonstrate measurable business outcomes.
- Strong stakeholder management, communication, collaboration, attention to detail, and problem-solving skills, with the ability to work independently and adapt to changing priorities.
- Experience with LLM platforms, clinical trials, life sciences, or other regulated industries is an advantage.
- Ability to work remotely from either the United States or Canada while maintaining Eastern Time working hours.
At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.
The duties and responsibilities listed in this job description represent the major responsibilities of the position. Other duties and responsibilities may be assigned, as required. Clario reserves the right to amend or change this job description to meet the needs of Clario. This job description and any attachments do not constitute or represent a contract.
The Department Head has the discretion to hire personnel with a combination of experience and education, which may vary from the above listed qualifications.
At Clario, part of Thermo Fisher Scientific, we develop regulated technology that helps unlock better evidence and improve patient outcomes worldwide. Our software platforms support clinical trials, diagnostics, and medical decision-making in highly controlled regulatory environments.
Clario is building an enterprise platform that enables teams across the organization to build, deploy, and govern AI agents safely and at scale. As our Digital Product Manager, Agentic AI Platform, you'll own the product vision, strategy, and roadmap, driving adoption and scaling the platform from pilot to company-wide use. You'll collaborate with technical and business teams, translate complex AI concepts into practical solutions, and demonstrate measurable business value. If you're passionate about AI innovation and turning emerging technologies into impactful products, we'd love to hear from you.
What We Offer
- Competitive compensation
- Comprehensive health and dental coverage
- Paid time off and company holidays
- Flexible remote work arrangements
- Employee wellness and professional development programs
What You'll Be Doing
- Define and own the product vision, strategy, and roadmap for the enterprise Agentic AI Platform, prioritizing reusable capabilities, platform scalability, and business needs.
- Translate stakeholder requirements into actionable product initiatives, user stories, acceptance criteria, and prioritized backlogs, working closely with engineering, architecture, data science, and UX teams.
- Develop working AI agent prototypes, workflows, and proofs of concept using AI-assisted or low-code tools to validate ideas, demonstrate capabilities, and support product decisions.
- Drive platform adoption by collaborating with business teams, communicating AI concepts clearly, improving user experience, and supporting onboarding and knowledge sharing.
- Establish and monitor product KPIs, including adoption, reliability, cost efficiency, user satisfaction, and ROI, ensuring AI initiatives deliver measurable business value.
- Integrate Responsible AI, security, privacy, and compliance considerations into product development while supporting Agile delivery, stakeholder alignment, and continuous improvement.
What We Look For
- Bachelor's degree in a technical, business, or related field, or equivalent professional experience.
- 5+ years of experience in product management, product ownership, or related roles involving enterprise technology, data, AI/ML, or platform products. Candidates with less experience and direct AI or developer platform ownership will also be considered.
- Understanding of agentic AI principles, AI/ML concepts, agent workflows, and their practical applications, with the ability to communicate and explain these concepts to diverse audiences.
- Experience defining product strategy, building roadmaps, managing priorities, and translating business requirements into scalable technology solutions.
- Familiarity with cloud platforms, APIs, and AI development technologies, with AWS and agent frameworks such as LangGraph or LangChain considered advantageous.
- Experience with product discovery, rapid prototyping, AI-assisted development tools, or early-stage solution validation.
- Ability to define product value propositions, establish performance metrics, and demonstrate measurable business outcomes.
- Strong stakeholder management, communication, collaboration, attention to detail, and problem-solving skills, with the ability to work independently and adapt to changing priorities.
- Experience with LLM platforms, clinical trials, life sciences, or other regulated industries is an advantage.
- Ability to work remotely from either the United States or Canada while maintaining Eastern Time working hours.
At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.
The duties and responsibilities listed in this job description represent the major responsibilities of the position. Other duties and responsibilities may be assigned, as required. Clario reserves the right to amend or change this job description to meet the needs of Clario. This job description and any attachments do not constitute or represent a contract.
The Department Head has the discretion to hire personnel with a combination of experience and education, which may vary from the above listed qualifications.
See All 59 Remote Agentic AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Agentic AI Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote 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 Remote Agentic AI Engineer Job Search
Show your agent projects front and center
Remote employers can't see you work, so your portfolio does the talking. Publish documented agentic projects that show tool-use design, memory handling, and evaluation results. Link to live demos or repositories so hiring managers can verify your skills without an in-person screen.
Prove your async communication skills early
Remote agentic ai engineer roles run on written communication. Practice writing clear technical design docs, async code reviews, and concise status updates before you interview. Employers often judge your async communication quality from the first message you send.
Apply early to remote roles that fit
Migrate Mate lists remote agentic ai engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through on-site postings. Applying early matters because remote roles often close fast once distributed teams find a strong fit.
Prepare for remote-specific technical interviews
Remote agentic ai engineer interviews often include take-home agent design exercises and live async coding reviews rather than whiteboard sessions. Practice explaining your architectural decisions in writing and expect questions about how you debug, test, and monitor autonomous agent behavior in production.
Remote Agentic AI Engineer Jobs: Frequently Asked Questions
How do I get a remote agentic ai engineer job?
Target remote-first AI companies and distributed engineering teams that build autonomous agent systems, as these employers hire agentic ai engineers without requiring on-site presence. Remote employers screen heavily for self-direction, clear async written communication, and hands-on experience with agent frameworks, tool-use pipelines, and LLM orchestration. A portfolio of shipped agentic projects gives you a concrete edge over candidates with only coursework or theoretical knowledge.
Which companies hire remote agentic ai engineers?
Remote agentic ai engineer roles are posted by cyara, NVIDIA, and Steer and others right now, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first AI labs, enterprise software companies, and distributed product teams building autonomous workflows across software, finance, and healthcare sectors.
Can you get a remote agentic ai engineer job with no experience?
Yes, but remote entry-level agentic ai engineer roles are harder to land because you're expected to work independently from day one with minimal oversight. Early-career candidates can target remote-first startups building agent tooling or open-source AI projects. Demonstrating a working agent prototype, contributions to public repositories, or documented async collaboration shows remote employers you can deliver without hand-holding.
Do you need a degree for remote agentic ai engineer jobs?
Not always. Remote employers in this space weigh demonstrated technical skills, shipped projects, and familiarity with agent architectures, LLM APIs, and evaluation frameworks more heavily than a specific credential. A portfolio showing real agentic systems you've built or contributed to carries more weight than a degree alone, though a background in computer science or a related field remains common among candidates.
Which industries hire the most remote agentic ai engineers?
Most remote agentic ai engineer openings sit in Technology & Software, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams that build, deploy, and maintain autonomous agent systems without requiring engineers to work from a central office.
See All 59 Remote Agentic AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs