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Remote Junior Ai Developer Jobs in California (NOW HIRING)

Developer Marketing Lead

San Francisco, CA · On-site +1

$200K - $240K/yr

About Us At You.com, we are building the AI Search Infrastructure that powers modern AI systems ... hybrid/remote team's cell phone and internet expenses* * $1,200 per year Health & Wellness ...

Lead AI Engineer

Los Angeles, CA · Remote

$160K - $180K/yr

Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ... Mentor mid level and junior engineers, conduct code reviews, and uphold engineering standards.

Lead AI Engineer

Los Angeles, CA · Remote

$160K - $180K/yr

Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ... Mentor mid level and junior engineers, conduct code reviews, and uphold engineering standards.

Developer Relations Engineer

San Francisco, CA · On-site +1

$125K - $180K/yr

... for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

While we are a remote-first company, the nature of this role requires candidates to be based in the ... ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating ...

Senior Developer Advocate

San Francisco, CA · On-site +1

$150K - $200K/yr

... for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ...

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Remote Junior Ai Developer information

What is a remote junior AI developer?

A Remote Junior AI Developer is an entry-level professional who works from a location outside of the traditional office, focusing on developing and maintaining artificial intelligence systems and applications. Their responsibilities typically include assisting with model training, data preprocessing, and implementing basic machine learning algorithms under the guidance of senior team members. This role is ideal for those starting their career in AI and offers flexibility to work from anywhere while gaining practical experience in the field. Strong programming skills, especially in languages like Python, and a foundational understanding of AI concepts are usually required.

What are the key skills and qualifications needed to thrive as a remote junior AI developer?

To thrive as a Remote Junior AI Developer, you generally need a solid understanding of programming languages like Python, machine learning fundamentals, and a relevant degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Git, and cloud platforms, along with basic knowledge of version control and collaborative coding systems, is typically expected. Strong problem-solving abilities, effective written communication, and a proactive attitude are valuable soft skills for remote collaboration and growth. These competencies are crucial for delivering high-quality AI solutions, learning efficiently, and working successfully within distributed development teams.

What are some common challenges faced by remote junior AI developers, and how can they overcome them?

Remote junior AI developers often face challenges such as limited direct mentorship, difficulty in collaborating across time zones, and staying updated with rapidly evolving AI technologies. To overcome these, it's helpful to proactively seek regular feedback from senior developers, participate in virtual team meetings, and engage in online AI communities. Utilizing project management tools and setting clear communication routines can also foster better teamwork and continuous learning in a remote environment.

What is the difference between Remote Junior Ai Developer vs Remote Data Analyst?

AspectRemote Junior Ai DeveloperRemote Data Analyst
Required CredentialsBasic programming skills, knowledge of AI/ML concepts, possibly a related degreeStatistical or analytical degree, proficiency in data tools and SQL
Work EnvironmentCollaborative teams, AI/ML projects, coding and model trainingData interpretation, reporting, data visualization tasks
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, and other data-driven industries
Common Search & Comparison IntentUnderstanding entry-level AI roles, career path optionsComparing data analysis roles, skill requirements

The Remote Junior Ai Developer focuses on building and training AI models, requiring programming and AI knowledge. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and visualizations. Both roles often work remotely in tech-driven industries but differ in technical focus and daily tasks.

What are popular job titles related to Remote Junior Ai Developer jobs in California?

For Remote Junior Ai Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Junior Ai Developer jobs in California look for?

The top searched job categories for Remote Junior Ai Developer jobs in California are:

What cities in California are hiring for Remote Junior Ai Developer jobs?

Cities in California with the most Remote Junior Ai Developer job openings:

Infographic showing various Remote Junior Ai Developer job openings in California as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution.

Software Engineer, AI Developer Tools

Gusto, Inc.

San Francisco, CA • On-site, Remote

$220K - $245K/yr

Full-time

Posted 3 days ago

New


Gusto rating

8.0

Company rating: 8.0 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

About the Role:

As a Staff Engineer on the Developer Productivity - AI Developer Tools team, you will be the architectural anchor shaping the AI platform that accelerates engineering across Gusto. You will redefine how our entire engineering organization builds, tests, and ships software by architecting a highly secure, context-aware, "AI-native" development lifecycle.

Your mission is to eliminate developer friction through AI tools, multi-agent systems, and intelligent automation. Whether you are building bespoke internal coding assistants, automating sprawling codebase refactors, or deploying AI to self-heal CI/CD pipelines, your work will directly multiply the velocity of hundreds of builders. Help us drive developer productivity by building the next generation of AI tools.

About the Team:

The AI Developer Tools team is a specialized team within Developer Productivity. We believe AI is the next great leap in software craftsmanship. Our goal is to provide every builder at Gusto with a suite of "superpowers" tools that deeply understand our codebase and absorb operational toil so engineers can focus on creative problem-solving. We treat our fellow engineers as our primary customers, prioritizing developer experiences that are not just powerful, but absolutely delightful to use.

Here's what you'll do day-to-day:

  • Architect AI Core Infrastructure: Design, scale, and maintain the internal platform and APIs that integrate LLMs into the developer workflow, with a heavy focus on autonomous agents, custom retrieval-augmented generation (RAG), and smart context-delivery systems.
  • Drive Technical Leadership & Vision: Establish engineering best practices for building with AI at Gusto, including robust evaluation frameworks (evals), guardrails for code safety, and strategies for optimizing model latency and token spend.
  • Collaborate & Evangelize: Partner closely with product engineering teams to uncover systemic friction points, and collaborate with core Infrastructure and Security teams to ensure all AI tooling is scalable, compliant, and secure.
  • Optimize Feedback Loops: Identify and eliminate critical bottlenecks in the local-to-production lifecycle at scale across Gusto.
  • Maintain Enterprise Reliability: Treat AI infrastructure with production-grade rigor. Monitor system health, diagnose complex integration or networking issues, and mitigate model drift or downtime.

Here's what we're looking for:

  • 8+ Years of Systems Expertise: You are a seasoned engineer who is highly comfortable navigating massive, complex codebases and delivering production-grade, distributed software.
  • Production AI Experience: You have a proven track record of moving AI beyond prototypes. You possess a deep understanding of prompt engineering, fine-tuning, RAG architectures, and orchestrating multi-agent workflows.
  • Developer-First Mindset: You are passionate about Developer Experience and Productivity. You intuitively understand what makes an internal tool frictionless, fast, and empowering for other engineers.
  • Strategic Execution: You don't just build wrappers; you think deeply about data privacy, security, cost management, and systemic reliability when deploying AI solutions.
  • Exceptional Communication: You can seamlessly translate bleeding-edge AI capabilities into clear, actionable infrastructure strategies, mentoring junior engineers and aligning cross-functional stakeholders along the way.
  • Working as a Team: You work across team boundaries and bring other teams and groups along with you towards our strategic vision.

Our cash compensation amount for this role is targeted at $180,000/yr to $200,000/yr in Denver & most remote locations, $220,000/yr to $245,000/yr for San Francisco, New York & Seattle. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.


What Gusto employees say

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Benefits

Hours and flexibility

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