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Weekend Remote Ai Engineer Jobs in San Ramon, CA

David Joseph & Company

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 ...

New

GC AI

Applied AI Engineer

San Mateo, CA · On-site +1

$165K - $350K/yr

As our AI Engineer, you'll be the architect of systems that make this transformation possible. Your ... Location Policy This is a remote role unless you fall within the following parameters. If you live ...

Arize AI

Forward Deployed AI Engineer, West

San Francisco, CA · On-site +1

$125K - $175K/yr

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 ...

Mixpanel

AI Engineer

San Francisco, CA · Remote

Strong technical communication, ideally with experience collaborating in an asynchronous remote ... engineering. * A desire to be on the forefront of leveraging AI to drive product improvement ...

Mixpanel

AI Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

Strong technical communication, ideally with experience collaborating in an asynchronous remote ... engineering. * A desire to be on the forefront of leveraging AI to drive product improvement ...

Jade Global

Software AI Engineer

San Jose, CA · Remote

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

DocuSign

Sr. AI Engineer

San Francisco, CA · On-site +1

$65 - $83.75/hr

Employee divides their time between in-office and remote work. Access to an office location is ... engineering experience * 3+ years in AI/ML engineering, LLM-based systems, or advanced SaaS ...

SpotOn

Staff AI Engineer

San Francisco, CA · Remote

$210K - $280K/yr

If you're looking to make an impact with heart and hustle, SpotOn is the place for you. (Remote ... Be the AI engineering technical authority. You set the technical standard for how AI is used in ...

DocuSign

Agentic AI Engineer

San Francisco, CA · On-site +1

$146K - $235K/yr

What you'll do Docusign is seeking a talented and results-oriented AI Engineer to focus on ... Employee divides their time between in-office and remote work. Access to an office location is ...

Brex

AI Engineer, Ecosystem

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ...

New

General Motors

Staff AI Engineer - SimAI Team

Sunnyvale, CA · On-site +1

$189K - $290K/yr

As an AI Engineer on the team, you will build and deploy applied AI/ML solutions that directly ... Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin ...

Fieldguide

Senior AI Engineer, Quality

San Francisco, CA · On-site +1

$200K - $250K/yr

We're based in San Francisco, CA, but built as a remote-first company that enables you to do your ... As a Senior AI Engineer, Quality , you will own the evaluation infrastructure that ensures our AI ...

Brex

AI Engineer, Product

San Francisco, CA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Build ...

New

Workato

Staff AI Engineer

Palo Alto, CA · On-site +1

Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards ... AI Engineer with experience in Search Relevance to join our growing team. In this role, you will ...

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All JobsWeekend Remote Ai Engineer JobsWeekend Remote Ai Engineer Jobs in San Ramon, CA

Weekend Remote Ai Engineer information

See San Ramon, CA salary details

$43.6K

$113.7K

$153.7K

How much do weekend remote ai engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for weekend remote ai engineer in San Ramon, CA is $113,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $130,200.00 per year, depending on experience, location, and employer.

What are Weekend Remote AI Engineers?

Weekend Remote AI Engineers are professionals who design, build, and maintain artificial intelligence systems while working remotely, typically on weekends. They may be employed part-time, as freelancers, or on a project basis to assist organizations with AI development outside of standard business hours. Their responsibilities can include developing machine learning models, processing data, and integrating AI solutions into existing products. This role is ideal for individuals seeking flexible work arrangements or supplemental income, and it requires strong programming and analytical skills.

What is the difference between Weekend Remote Ai Engineer vs Weekend Remote Data Scientist?

AspectWeekend Remote Ai EngineerWeekend Remote Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's in CS, Statistics, or related; experience with data analysis
Work EnvironmentRemote, project-based, AI development teamsRemote, data analysis projects, research teams
Industry UsageTech, AI startups, software companiesTech, finance, healthcare, research institutions

Weekend Remote Ai Engineers focus on developing AI models and algorithms, often working on machine learning and deep learning projects. In contrast, Weekend Remote Data Scientists analyze data to extract insights, supporting decision-making. Both roles require technical skills and often operate remotely on flexible schedules, but their core responsibilities differ in AI development versus data analysis.

What are the key skills and qualifications needed to thrive as a Weekend Remote AI Engineer, and why are they important?

To thrive as a Weekend Remote AI Engineer, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), version control systems (like Git), and cloud platforms (AWS, Azure, or GCP) is essential. Excellent problem-solving, time management, and communication skills help you excel in a remote, asynchronous work environment. These competencies ensure you can independently deliver high-quality AI solutions and collaborate effectively, even outside traditional work hours.

What are some common challenges faced by Weekend Remote AI Engineers, and how can they be addressed?

Weekend Remote AI Engineers often encounter challenges such as limited real-time collaboration with team members working standard weekday hours, balancing time management with personal commitments, and staying updated with ongoing project changes. To address these, it’s helpful to utilize asynchronous communication tools, maintain clear documentation of work, and proactively sync with team leads before and after the weekend. Establishing a structured routine and setting clear goals for each weekend session can also enhance productivity and integration with the broader team.
What job categories do people searching Weekend Remote Ai Engineer jobs in San Ramon, CA look for? The top searched job categories for Weekend Remote Ai Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Weekend Remote Ai Engineer jobs? Cities near San Ramon, CA with the most Weekend Remote Ai Engineer job openings:
Weekend Remote Ai Engineer jobs near you

AI Engineer

David Joseph & Company

San Francisco, CA • Remote

$150K - $250K/yr

Full-time

Posted 2 days ago

Job description

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 healthcare AI company building AI agents to automate and transform clinical workflows — from ambient clinical documentation to billing automation and clinical trial matching. The company's AI ambiently captures patient visits and writes complete, billable documentation directly within the clinician's electronic health record, helping reduce clinician burnout and improve patient care. Backed by top-tier investors with $60M+ raised, and trusted by some of the largest healthcare organizations in the country.

Founded: 2017 | Team size: ~60 | Industry: Healthcare, AI | Location: San Francisco, CA (HQ); remote within the US

The Role

We're looking for an AI Engineer to build and ship LLM-powered healthcare applications, with ownership over new AI workflows from prototype to production. This is a deeply technical role that blends ML, product thinking, and engineering — you'll build and own production services that rely on LLMs, speech models, and medical reasoning. Expect to ship fast, talk directly to customers, and build systems that genuinely reduce clinician burnout.

What You'll Do
  • Develop and own end-to-end AI applications such as clinical trial matching, ambient copilots, and billing automation.
  • Improve an LLM-powered documentation platform used daily by thousands of clinicians.
  • Build and optimize inference pipelines and real-time speech recognition systems.
  • Collaborate closely with PMs, designers, clinical experts, and GTM teams to iterate rapidly and launch high-impact features.

Tech stack: Python, TypeScript, LLM tooling (LangGraph, Mastra, Agents SDK), LLM evals + applied GenAI

What We're Looking For

Required

  • 2–6 years of experience as a software engineer, with work on AI and LLM-focused products
  • Experience building complex AI applications end-to-end (LLM inference work, agent products, etc.)
  • A STEM undergraduate degree
  • Ability to work across the stack (frontend, backend, infra) to problem-solve and ship features
  • Applied-AI literacy — comfortable reasoning about evals, statistics, and the non-determinism of LLM systems
  • Obsessed with speed, ownership, and getting real user feedback

Nice to Have

  • Experience in a fast-moving startup or as a founder
  • Experience with ASR systems (e.g., Whisper)
  • Familiarity with SOC-2, HIPAA, or sensitive data pipelines
  • Experience with EHR integrations (FHIR, HL7) or healthcare-specific ontologies
Interview Process
  1. Engineering Manager screen (30 min) — your experience, projects, how you operate, and how you use AI day-to-day.
  2. Coding & problem-solving interview (1 hr) — design and code a word-based game problem; bring your own IDE.
  3. AI challenge interview (1 hr) — build a bot that solves a word-based game; discuss trade-offs and evaluation.
  4. Product team conversation (30 min) — cultural fit, problem-solving, and how you handle adversity.
  5. Senior/staff deep dive (45 min) — deeper AI design/research discussion for senior+ candidates.
  6. Offer.