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Remote Engineering Startup Jobs in California (NOW HIRING)

twenty80.io

Founding Full Stack Engineer

San Francisco, CA · On-site +1

$150K - $190K/yr

About the Role An early-stage startup is hiring a Founding Full Stack Engineer to help build its ... Hybrid or remote-friendly within U.S. time zones Equal Opportunity This opportunity is with an ...

Workos

Engineering Manager

San Francisco, CA · On-site +1

We're looking for a leader who is excited to manage engineers, but approaches the role as a startup ... We offer parental leave, paid-time off and fully remote working arrangements. * 401k matching

Verkada

Senior Backend Engineer - Intercom

San Mateo, CA · On-site +1

We consider our team a startup within a startup, with a fair amount of ownership and autonomy. You ... We have ambitious plans to disrupt , including AI-driven visitor screening and remote environmental ...

Oklo

Hot Cell Design Engineer

Santa Clara, CA · On-site +1

... engineering, or radiological material handling * Strong working knowledge of remote handling ... A startup person: You aren't driven by titles or hierarchy, and prefer efficiency to excess process.

Oklo

Hot Cell Design Engineer

Santa Clara, CA · On-site +1

... engineering, or radiological material handling * Strong working knowledge of remote handling ... A startup person: You aren't driven by titles or hierarchy, and prefer efficiency to excess process.

Hirevouch

Sr/Staff Backend Engineers

San Francisco, CA · On-site +1

As a Series A startup heading toward Series B, we've built everything required to run a grocery ... remote. The company culture emphasizes strong communication via Slack and Notion. The engineering ...

David Joseph & Company

Product Engineer

San Francisco, CA · On-site +1

$150K - $250K/yr

Experience at an organization with a high engineering bar, ideally a venture-backed startup. * A ... Hybrid, in-office Monday to Thursday, remote Friday * Compensation: $150,000-$250,000 + equity

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Remote Engineering Startup information

What is a remote engineering startup?

A remote engineering startup is a company that focuses on providing engineering solutions, services, or products, while operating primarily or entirely with a distributed team that works from different locations rather than a central office. These startups often leverage digital tools and platforms to collaborate, communicate, and manage projects remotely. This structure allows them to tap into a global talent pool, reduce overhead costs, and offer flexible work arrangements. Remote engineering startups may specialize in fields such as software development, hardware engineering, product design, or consulting. Their remote-first approach often enables innovative work processes and faster adaptation to changing project needs.

What are the key skills and qualifications needed to thrive in a remote engineering startup?

To thrive in a remote engineering startup, you need strong technical expertise in software development, problem-solving abilities, and typically a degree in computer science or a related field. Familiarity with cloud-based collaboration tools, version control systems like Git, and agile methodologies is essential. Excellent self-motivation, communication, and adaptability are standout soft skills in this environment. These skills ensure effective contribution, seamless teamwork, and the agility needed to succeed in a fast-paced, distributed startup setting.

What are some common challenges engineers face when working remotely at a startup, and how can they be addressed?

Engineers working remotely at startups often encounter challenges like communication gaps, time zone differences, and limited face-to-face collaboration. These can lead to misunderstandings or delays in project progress. To overcome these, startups typically implement structured communication tools (like Slack or Zoom), regular check-ins, and clear documentation. Building a strong virtual team culture and proactively reaching out to colleagues also helps maintain alignment and morale.

What is the difference between Remote Engineering Startup vs Remote Software Developer?

AspectRemote Engineering StartupRemote Software Developer
Required CredentialsBachelor's in Engineering or Computer Science, relevant certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentFast-paced startup setting, collaborative teams, flexible hoursRemote, independent work, project-based tasks
Employer & Industry UsageStartups in tech, SaaS, IoT sectorsTech companies, software firms, freelance platforms
Search & Comparison IntentLooking for startup engineering roles with remote optionsSeeking remote software development jobs or freelance work

Remote Engineering Startup roles typically involve working in a fast-paced startup environment with a focus on engineering projects, requiring relevant technical credentials. Remote Software Developers often work independently on coding tasks for various companies, with similar educational requirements but a different work setting. Both roles are common in tech industries and often searched together, but they differ mainly in work environment and job scope.

What are popular job titles related to Remote Engineering Startup jobs in California?

For Remote Engineering Startup jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Engineering Startup jobs in California look for?

The top searched job categories for Remote Engineering Startup jobs in California are:

What cities in California are hiring for Remote Engineering Startup jobs?

Cities in California with the most Remote Engineering Startup job openings:

Remote Engineering Startup jobs near you
Infographic showing various Remote Engineering Startup job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Software Engineer - AI Platform (US)

Santa Clara, CA • On-site, Remote

genious ai
See more jobs at genious aiexternal

Full-time

PTO

Re-posted 5 days ago

Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)

Apply