Remote Agentic AI Developer Jobs
Remote Agentic AI Developer jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams building autonomous systems, multi-agent pipelines, and AI-driven workflows. Industries from enterprise software to fintech and healthcare are hiring agentic ai developers on fully remote distributed teams, including Lenovo, Munchkin, and All IT Solutions. Find a role that fits below and apply directly.
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Who We Are:
WHY Brands Inc., a parent company of Munchkin (https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.munchkin.com%2F&esheet=53879262&newsitemid=20240109983910&lan=en-US&anchor=Munchkin&index=1&md5=f5d34a579523d47489a9ecb665b62dc5), Inc., focuses on creating, incubating, and growing the next generation of consumer lifestyle brands. Founded in 1990, Munchkin is the leading consumer product company and most loved baby lifestyle brand behind the innovative gear and products for children, mothers, and caregivers. Munchkin has sold billions of dollars of products through our key retail partners: Target, Walmart, and Amazon and has global distribution in over 50 countries. With over 350+ patents under our belt and over 250 international product and brand design awards, we continue to create solutions that leave our customers asking, "how did I ever live without this?" Innovation is the core of our company DNA and has been driving our designs for over 30 years! Recognized as #8 on America’s Most Innovative Companies list by Fortune Magazine, innovation is the core of our company DNA and has been driving our designs for 30 years!
Independent Contractor Assignment:
Munchkin/WHY Brands is seeking a qualified Senior AWS Agentic AI Developer to build secure, production-ready AI applications and intelligent automation systems. This is a hands-on contract role for someone who can turn AI concepts into reliable solutions integrated with enterprise data, APIs, business workflows, and internal tools.
Formal years-of-experience requirements are not necessary. Demonstrated capability, relevant work samples, and the ability to deliver secure, maintainable solutions are the primary considerations.
This project is expected to run for approximately 3-6 months. The contractor will be engaged in services of an anticipated commitment of up to 15-20 hours per week.
Independent Contractor Assignment Scope of Work:
- Design and develop agentic AI solutions using AWS, including Amazon Bedrock
- Build AI agents, RAG systems, APIs, automations, and enterprise integrations
- Connect AI solutions with internal tools, databases, Jira, Workfront, Oracle, and other business systems
- Implement security, access controls, logging, monitoring, testing, and governance safeguards
- Develop clean, modular, maintainable, and production-ready code
- Collaborate with AI, Security, DevOps, data, and business teams
- Document architecture, deployment processes, system setup, and ongoing support requirements
- Help evaluate existing prototypes and move promising solutions toward secure enterprise deployment
- Other scope of work may be assigned
Independent Contractor Requirements
- Demonstrated ability to design and deploy secure AWS-based AI applications
- Practical experience with LLMs, AI agents, tool calling, RAG, APIs, and workflow automation
- Strong knowledge of AWS services, IAM, security, databases, and cloud deployment practices
- Experience with Python, TypeScript, JavaScript, or similar development technologies
- Ability to integrate AI systems with enterprise data and business workflows
- Ability to write clean, modular, readable, and maintainable code
- Strong problem-solving, communication, and documentation skills
- Portfolio, GitHub profile, or examples of relevant work preferred
Hourly Range: $50 to $80 (DOE)
Munchkin welcomes and values what makes everyone unique. We’re proud to be an equal opportunity and affirmative action employer. All hires for our team are based on qualifications, merit, and business needs. We recruit, employ, train, and promote regardless of race, color, religion, disability, sex, sexual orientation, gender identity, national origin, age, veteran status, genetic characteristic, or any other protected status.
Applicant Privacy Statement
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
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Who's Hiring



What Employers Look For
The qualifications that appear most often in remote agentic AI developer jobs.
- Proficiency with LLM orchestration frameworks such as LangChain, LangGraph, or AutoGen
- Experience designing and deploying multi-agent systems in production environments
- Strong Python skills with hands-on use of function-calling and tool-use APIs
- Familiarity with retrieval-augmented generation architectures and vector databases
- Understanding of prompt engineering, memory management, and agent evaluation techniques
- Bachelor's or master's degree in computer science, AI, or a related engineering field
Tips for Your Remote Agentic AI Developer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote agentic ai developer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through listings that aren't actually remote.
Show agentic systems you've built
Remote employers can't observe you in person, so a public GitHub with documented agentic projects does the work your resume can't. Include multi-agent pipelines, tool-use implementations, or orchestration examples using frameworks like LangChain or AutoGen to show real output.
Prove your async communication skills
Remote agentic ai developer teams rely on written handoffs, documented decisions, and clear async updates. Practice writing detailed pull request descriptions, project READMEs, and technical summaries. Strong async writing signals you'll function well without real-time oversight, which remote hiring managers screen for directly.
Prepare for async technical interviews
Many remote-first AI teams use take-home agent-building challenges or async code reviews instead of live whiteboard sessions. Treat your submission's documentation as seriously as the code itself. Explain your design decisions and trade-offs in writing, since that's how distributed teams evaluate judgment.
Remote Agentic AI Developer Jobs: Frequently Asked Questions
How do I get a remote agentic ai developer job?
Target remote-first AI companies and distributed engineering teams that build autonomous agents, orchestration frameworks, or LLM-powered workflows. Remote employers screen heavily for self-direction, clear async written communication, and hands-on experience with agent frameworks like LangChain, AutoGen, or similar tools. A public GitHub portfolio showing agentic systems you've built gives you a concrete edge over candidates with equivalent experience but no visible work.
Which companies hire remote agentic ai developers?
Remote agentic ai developer roles are posted by Lenovo, Munchkin, and All IT Solutions and others right now, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first AI labs, distributed SaaS companies, and enterprise software firms building autonomous systems across sectors like fintech, healthcare, and cloud infrastructure.
Can you get a remote agentic ai developer job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal oversight. You can open doors by contributing to open-source agentic AI projects, building and documenting a small autonomous agent portfolio, and demonstrating strong async communication. Remote-first startups and AI research teams are more likely than large enterprises to give entry-level candidates a chance.
Do you need a degree for remote agentic ai developer jobs?
Not always. Remote employers in this field weigh demonstrated technical ability heavily, so a strong portfolio of agentic systems, contributions to agent frameworks, or prior AI engineering roles often carries more weight than a formal degree. That said, roles at enterprise companies or AI research labs may still list a CS degree as preferred, so a degree alongside strong practical skills broadens your options.
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