Agentic AI Developer Jobs

Agentic AI Developer jobs are open from new-grad to staff and principal level, across tech, fintech, healthtech, and enterprise software, with specializations in multi-agent orchestration, LLM tool-use frameworks, and autonomous workflow design. Scan the live roles below and apply to whichever ones fit.

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Overview

Open roles34
Top stateCalifornia
Top employerLeidos
Top citySan Francisco, CA
Work type44% On-site
Top industryTechnology

Showing 5 of 34+ Agentic AI Developer jobs

Senior Python Full Stack Developer (with Agentic AI)
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Senior Python Full Stack Developer (with Agentic AI)
NTT DATA
Irving, Texas
Cloud & DevOps
Cloud Engineering
IT Support
Systems Administration
Master's degree
10,000+

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Developer Evangelist – Agentic AI Platform (Austin based)
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Developer Evangelist – Agentic AI Platform (Austin based)
Autonomize AI
Austin, Texas
Program Management
Project & Program Management
Project Management
Bachelor's degree in engineering

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Software Engineer, Agentic Developer Platform
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Software Engineer, Agentic Developer Platform
Apple
Seattle, Washington
Project & Program Management
Quality Assurance & Testing (QA Testing)
Software Engineering
$142k - $263k/yr
Bachelor of Science
10,000+

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Co-op - Agentic AI Developer
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Co-op - Agentic AI Developer
Labcorp
Durham, North Carolina
Program Management
Project Management
Research & Academia
Hybrid
10,000+

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Oracle Consulting Technical Manager, Agentic AI Developer - GDI
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Oracle Consulting Technical Manager, Agentic AI Developer - GDI
Oracle
Reston, Virginia
Data Engineering
Project Management
Technical Program Management
Bachelor's degree in engineering
10,000+

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Agentic AI Developer Job Market

Who's Hiring

Leidos3 open roles
Oracle2 open roles
Synechron2 open roles

Top Industries Hiring

  • Technology & Software
  • Consulting & Professional Services
  • Fintech

What Employers Look For

The qualifications that appear most often in 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 Agentic AI Developer Job Search

Show agents running, not just built

Hiring managers for agentic roles want to see systems that act autonomously over multiple steps. Link a GitHub repo or demo where your agent plans, calls tools, and recovers from failures. A static code sample won't do the same work.

Name your orchestration frameworks explicitly

Job postings for agentic ai developer roles frequently screen for LangGraph, AutoGen, CrewAI, or similar frameworks by name. If you've used them, list each one clearly on your resume rather than burying them under a generic 'AI tools' category.

Apply early to roles that fit

Migrate Mate lists agentic ai developer 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 tool-use or RAG

Agentic ai developer openings often split between pure orchestration work and retrieval-augmented generation pipelines. Matching your application to the specific pattern a team uses signals genuine familiarity and raises your callback rate meaningfully.

Prep a live coding round on agent loops

Many agentic ai developer technical screens ask you to implement a planning loop or debug a broken tool-call chain in real time. Practice writing a minimal ReAct or plan-and-execute loop from scratch before your first interview, not after.

Negotiate scope alongside salary

In agentic ai developer offers, the architecture decisions you'll own matter as much as compensation. Before accepting, ask whether the role designs agents end-to-end or integrates pre-built ones. That distinction shapes your growth and your resume for the next role.

Agentic AI Developer Jobs: Frequently Asked Questions

Which companies are hiring the most agentic ai developers?

The most active employers for agentic ai developers right now are Leidos, Oracle, and Synechron, and the most openings are in California, Texas, and North Carolina, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated at companies building enterprise automation platforms and AI-native software products.

How many agentic ai developer jobs are remote?

About 56% of agentic ai developer openings are fully remote or hybrid as of November 2026, reflecting the broader flexibility in AI engineering roles. Work involving agent design, prompt engineering, and backend integration tends to be the most remote-friendly, while roles requiring close collaboration with product and infra teams more often ask for on-site or hybrid presence.

How do you become an agentic ai developer?

Start by building a solid foundation in Python and standard machine learning concepts, then move into large language model APIs and function-calling patterns. Work through open-source orchestration frameworks like LangGraph or AutoGen by building small agents that call real tools. Ship at least one end-to-end agentic project you can demo, document your design decisions publicly, and apply to roles that match your current stack.

Can you get hired as an agentic ai developer with little experience?

Yes, especially if you can show working agents rather than theoretical knowledge. Employers hiring junior agentic ai developers often care more about a demonstrated ability to build a functioning tool-use loop than about years of professional experience. Contributing to an open-source agent project, writing technical posts about what you built, and targeting startups building new agentic products all improve your odds without a long resume.

What does the agentic ai developer interview process look like?

The process typically starts with a recruiter screen focused on your background with LLM frameworks and agent design patterns. A technical phone screen follows, often asking you to walk through a system you built. The final round usually includes a live coding exercise where you implement or debug an agent loop, plus a system design session where you architect a multi-agent workflow from a product requirement.

Where can I find and apply to agentic ai developer jobs?

You can find and apply to agentic ai developer jobs on Migrate Mate, which lists current openings from companies across the United States. Search the roles available, find the ones that match your skills and preferred location or remote setup, and apply directly to each listing that fits.

See All 34 Agentic AI Developer Jobs

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