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Remote Artificial Intelligence Government Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Employees must be eligible to obtain a government security clearance, participate in the ARL drug ...

The Pennsylvania State University

$100K - $132K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Employees must be eligible to obtain a government security clearance, participate in the ARL drug ...

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How much do remote artificial intelligence government jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote artificial intelligence government in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a remote artificial intelligence government job?

A Remote Artificial Intelligence Government job involves working for a government agency or organization in the field of artificial intelligence (AI) while performing duties remotely. These roles can include developing AI algorithms, analyzing data, implementing machine learning solutions, or advising on AI policy and ethical considerations. Employees may work on projects related to national security, public services, data management, or automation. Remote positions allow professionals to collaborate with government teams from various locations, often requiring strong communication skills and secure access to sensitive information. These jobs typically require expertise in AI technologies, programming, data analysis, and a good understanding of governmental processes.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence government specialist?

To thrive as a Remote Artificial Intelligence Government Specialist, you generally need expertise in AI, machine learning, data analysis, and a background in computer science or a related field, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, AI tools (such as TensorFlow or PyTorch), and secure data management systems is commonly required. Strong soft skills include problem-solving, ethical judgment, clear communication, and the ability to work independently in a remote environment. These skills and qualities are essential for developing responsible AI solutions that meet government standards, ensure data integrity, and support effective decision-making in a secure, remote setting.

What are some common challenges faced by professionals in remote artificial intelligence roles within government agencies?

Professionals working remotely in AI roles for government agencies often encounter challenges such as navigating strict data security protocols and ensuring compliance with regulatory standards. Collaboration can also be unique, as teams are frequently cross-functional and distributed, requiring clear communication and coordination across time zones. Additionally, adapting AI solutions to align with public sector needs and legacy systems may require creative problem-solving. However, these challenges are balanced by the opportunity to work on projects that have a significant societal impact.
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Remote Artificial Intelligence Government jobs near you
Infographic showing various Remote Artificial Intelligence Government job openings in the United States as of August 2026, with employment types broken down into 63% Full Time, 23% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 25 days ago

Job description

Job Description

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

As an LLM Application Engineer, you will build the intelligence layer that powers the AI experiences.  You will work at the intersection of Large Language Models (LLMs), software engineering, and product designing agent workflows, improving model behavior, and turning Artificial Intelligence (AI) capabilities into reliable user experiences.  You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production.  This position is 100% Remote.

LLM Application Engineer Responsibilities:

- Build and ship LLM-powered applications and AI agent workflows.

- Design systems for reasoning, planning, memory, tool use and multi-step execution.

- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.

- Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools.

- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.

- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.

- Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.

- Optimize AI systems for quality, latency, and cost.

- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.

- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.

LLM Application Engineer Outcomes:

- Artificial Intelligence (AI) features reach production quickly and deliver measurable user impact.

- LLM-powered workflows are reliable, scalable, observable, and maintainable.

- Artificial Intelligence (AI) quality improves through systematic evaluation, experimentation, and iteration.

- Artificial Intelligence (AI) workflows become increasingly predictable, efficient, and cost-effective.

- Complex AI capabilities are translated into simple, intuitive user experiences.

Qualifications

LLM Application Engineer Qualifications:

- Artificial Intelligence (AI) experience required.

- Strong software engineering fundamentals with experience building AI-powered applications.

- Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems.

- Experience designing prompts, workflows, evaluations, or AI behavior.

- Ability to write clean, production-quality code.

- Comfortable working across abstraction layers from model to system to product.

- Strong problem-solving skills in ambiguous, fast-moving environments.

- Bias toward shipping, iteration, and continuous improvement.

- Tech Stack:  Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Agent Frameworks, AI, Artificial Intelligence, AI Agent Workflows, APIs, Application Engineer, Backend, Databases, Distributed Systems, JAX, LLM, Large Language Model, LLM APIs, OpenAI-Compatible APIs, Orchestration Systems, Python, PyTorch, UX, User Experience, Vector Databases, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

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