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Full Time Remote L2 Visa Jobs (NOW HIRING)

Senior Agentic AI Developer

El Segundo, CA · On-site +1

$58 - $76.75/hr

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00898.1 Department ... H-1B visa status)?) * No * Yes * Not in the US 02 If you are in Canada, are you legally able to ...

This is a full-time remote position. Residency within a 100-mile radius of the Kansas City officeis ... We are unable to sponsor or take over sponsorship of an employment Visa at this time. Interested in ...

Toronto, Ontario, Canada Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00907 ... H-1B visa status)?) * No * Yes * Not in the US 03 How many years of experience do you have with ...

AI Engineer

San Francisco, CA · Remote

$150K - $250K/yr

AI Engineer Type: Full-time | Remote (US) -- San Francisco preferred Compensation: $150K - $250K + equity Visa sponsorship: Not available (TN available; no H-1B) About the Company A Series B health ...

We are unable to sponsor or take over sponsorship of an employment Visa at this time. *This ... Join the Insite Journey ! Full-Time, Remote (relocation preferred to Cape Coral) in the U.S., 80 ...

Apply Early

This is a remote position and is open to candidates in the Boston area. Candidates will have the ... visa, F-1 visa (OPT), TN visa or any other non-immigrant status). We may use artificial ...

We are unable to sponsor or take over sponsorship of an employment Visa at this time. *This ... Join the Insite Journey! Full-Time, Remote (relocation preferred to Cape Coral) in the U.S., 80 ...

Hourly rate competitive with experience and location Full time employees may be eligible for the ... This job does NOT sponsor visa's and we are unable to consider out of country applicants *** If you ...

... visa sponsorship Hours: Full-time, Mon-Fri, 8:00 AM - 4:30 PM PST Reports To: Director of Supply Chain Compensation: Hourly Non-Exempt The Supply Chain Specialist is a full-time, remote role ...

This is a full-time remote position . Working Hours: Monday-Friday 8am-4:30pm ET Travel for on site interviews may be required. Only US applicants authorized to work in the United States without Visa ...

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Full Time Remote L2 Visa information

What are some common challenges faced when working remotely on an L2 visa in a full-time position?

Remote full-time employees on an L2 visa often face challenges such as navigating time zone differences with colleagues, ensuring reliable communication with their team, and maintaining a healthy work-life balance from home. Additionally, L2 visa holders must be mindful of their employment authorization and keep all relevant documentation up to date. Building professional relationships and staying engaged with the team can also require extra effort when working remotely, but regular check-ins and participation in virtual meetings can help foster strong connections.

What are the key skills and qualifications needed to thrive as a Full Time Remote IT Support Specialist on an L2 Visa, and why are they important?

To thrive as a Full Time Remote IT Support Specialist on an L2 Visa, you typically need a strong background in troubleshooting, systems administration, and customer support, along with relevant experience or certifications such as CompTIA A+ or Microsoft Certified: Azure Fundamentals. Familiarity with ticketing systems like Jira or ServiceNow and remote support tools such as TeamViewer or Remote Desktop is highly valuable. Excellent communication, time management, and the ability to work independently are critical soft skills for remote success. These skills ensure efficient technical assistance, seamless remote operations, and high client satisfaction in distributed work environments.

What is a Full Time Remote L2 Visa job?

A Full Time Remote L2 Visa job refers to a professional position that allows individuals holding an L2 visa—typically spouses or dependents of L1 visa holders—to work full-time from a remote location, usually from home. L2 visa holders are eligible to apply for an Employment Authorization Document (EAD), which permits them to legally work for any employer in the United States, including remote jobs. These roles can span various industries and often offer flexible working arrangements, making them attractive for individuals seeking work-life balance while living in the U.S. on an L2 visa.
More about Full Time Remote L2 Visa jobs
What cities are hiring for Full Time Remote L2 Visa jobs? Cities with the most Full Time Remote L2 Visa job openings:
What are the most commonly searched types of Remote L2 Visa jobs? The most popular types of Remote L2 Visa jobs are:
What states have the most Full Time Remote L2 Visa jobs? States with the most job openings for Full Time Remote L2 Visa jobs include:
Infographic showing various Full Time Remote L2 Visa job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Agentic AI Developer

Senior Agentic AI Developer

NEOGOV

El Segundo, CA • On-site, Remote

$58 - $76.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Salary: Depends on Qualifications
Location : Remote
Job Type: Full-Time
Remote Employment: Remote Optional
Job Number: 00898.1
Department: Development
Division: General
Opening Date: 05/19/2026
About
This is a remote role in the US and Canada
NEOGOV is a proud AI-Enabled SaaS leader in the Public Sector & Public Safety space with a mission to serve the people who serve the people. Our clients use our software to streamline everyday processes NEOGOV is a leading AI-enabled SaaS provider serving the public sector and public safety organizations nationwide.
For more than 25 years, we've helped agencies streamline critical workforce and operational processes through an integrated, intelligent platform. From hiring and onboarding to employee growth, retention, compliance, and public safety operations, our solutions support the full employee lifecycle. Guided by our mission to serve the people who serve the people, we combine innovation, customer focus, and purpose-driven technology to help build stronger communities.
This posting is for an existing vacancy.
We are looking for a highly experienced Agentic AI Engineer with 7+ years of experience to design, build, and scale autonomous AI systems. This role focuses on developing advanced multi-agent systems capable of reasoning, planning, and executing complex workflows using LLMs.
A key part of this role is implementing Spec-Driven Development (SDD), where structured specifications drive automated code generation, validation, and deployment workflows.
You will lead the design of agent-driven platforms that automate SDLC, enterprise workflows, and decision systems.
What You Will do
• Architect and build autonomous AI agents with advanced reasoning capabilities
• Design multi-agent orchestration systems (planner, supervisor, executor)
• Implement Spec-Driven Development (SDD) systems to convert requirements into executable workflows and code
• Define and manage artifacts such as RequirementsPack, ArchitecturePack, and execution manifests
• Design memory systems (vector DB, knowledge graph, hybrid RAG)
• Optimize systems for scalability, latency, and cost
• Integrate agents with enterprise platforms and APIs
• Drive best practices in prompt engineering and context engineering
• Mentor engineers and guide technical direction
Who You Are
• 7+ years of software engineering experience
• 3+ years of experience with Generative AI / LLM systems
• Strong programming skills in Python (preferred) or Go
• Experience with distributed systems and backend architecture
• Hands-on experience with cloud platforms (AWS preferred)
• Proven experience designing scalable systems
Core Skills
• LLM orchestration and reasoning systems
• Prompt and context engineering
• RAG and hybrid retrieval systems
• Vector databases and semantic search
• Agent frameworks (LangGraph, LangChain, or similar)
• Multi-agent system design patterns
• Spec-Driven Development (SDD) and spec-to-code workflows
Preferred Qualifications
• Experience building production-grade agent systems
• Experience implementing SDD frameworks (OpenSpec, BMAD, or similar)
• Familiarity with knowledge graphs and graph-based reasoning
• Experience with Kubernetes, Docker, and scalable infrastructure
• Experience with evaluation frameworks and guardrails
Nice to Have
• Experience with SDLC automation or coding agents
• Familiarity with MCP or A2A communication patterns
• Exposure to reinforcement learning or agent optimization
• Experience in enterprise AI platforms
What Success Looks Like
• Deliver production-grade autonomous agents at scale
• Successfully implement spec-to-code pipelines using SDD
• Drive measurable impact through automation and AI
• Improve system reliability, reasoning, and performance
What NEOGOV Offers
  • Competitive Wages
  • Comprehensive Benefits package (medical, dental, vision, etc.)
  • Generous PTO to support work-life balance
  • 401K/RRSP Matching
  • Paid Parental Leave
  • Autonomy to grow and find your career path with supportive leadership
  • Remote working opportunities
  • Inclusive and diverse work environment

NEOGOV 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, protected military status, or other non-merit factors.
Our hiring process may include Artificial Intelligence (AI) screening for keywords and minimum qualifications. Recruiters review all results.
#LI_REMOTE
01
If you're in the US, will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?)
  • No
  • Yes
  • Not in the US

02
If you are in Canada, are you legally able to work in Canada for any employer without limitations?
  • Yes
  • No

03
How many years of hands-on experience do you have building Generative AI or LLM-backed systems?
  • Less than 1 year
  • 1-2 years
  • 3+ years

04
Which of the following best describes your programming expertise for backend AI systems?
  • Expert in Python
  • Expert in Go
  • Highly proficient in BOTH Python and Go
  • Neither

05
Which LLM orchestration or agent frameworks have you deployed in a production environment? (Select all that apply)
  • LangGraph
  • LangChain
  • LlamaIndex
  • AutoGen / CrewAI / Other Multi-Agent Framework
  • Custom in-house orchestration
  • None in production yet

06
Do you have hands-on experience with Spec-Driven Development (SDD) or automated spec-to-code pipelines?
  • Yes, I have built or managed SDD pipelines (e.g., OpenSpec, BMAD).
  • Yes, I have used existing SDD tools, though I haven't built the pipelines from scratch.
  • No, but I am highly familiar with the architectural concepts.
  • No, I do not have experience with this.

Required Question