Working at General Autonomy

20+

Employees

5

Nationalities

Our Commitment to Care

At the heart of our mission is a deep dedication to caring for people. We aim to make embedded insurance universally accessible, fostering a future where safety and protection are available to everyone.

In every interaction, whether with our partners, customers, or team members, we prioritize integrity and respect. By offering fair products, delivering exceptional service, and nurturing a supportive workplace, we create a positive impact and build lasting trust.

Embracing the Uncomfortable

Our journey from a startup to where we stand today has been anything but easy. Driven by an entrepreneurial spirit, we thrive on curiosity, adaptability, and resilience.

We embrace failure as a learning opportunity, never shying away from challenges or ambitious goals. Our team is fearless and determined, always ready to dive in and make things happen.

Working Together as One

We are an international team united by a shared global vision. At our core, we value open communication, transparency, and trust—there’s no exclusive inner circle here.

Leadership is approachable and collaborative, fostering an environment where every question is welcomed. We’re all working towards the same goal, embracing a straightforward, no-nonsense approach to achieve it.

Open jobs

Full Stack LLM Developer​

Qualifications:

  • 5+ years of experience designing and building custom applications with CI/CD, Pair Programming, and TDD.
  • 5+ years in Full Stack development with languages such as Python, JavaScript, Java, Spring, or GoLang.
  • Proficiency with frontend frameworks like HTML5, Angular, Node.js, or React.
  • Experience with application services from public clouds (AWS, GCP, Azure).
  • 3+ years working on LLMs for business applications, with strong skills in fine-tuning and prompt engineering.
  • 3+ years in technical leadership and team management in AI-driven projects.
  • Bachelor’s degree or equivalent work experience.
  • Experience in developing applications for both mobile and web platforms.

Responsibilities:

  • Develop LLM-based applications and products.
  • Build, train, and fine-tune LLMs for improved performance.
  • Integrate LLMs into services and products.
  • Design and optimize AI prompts.
  • Take ownership of technical designs, code development, and testing.
  • Develop strategies for applications and components.
  • Conduct code reviews and support issue resolution during testing and production phases.

Benefits:

  • Competitive salary
  • Dynamic work environment focused on AI and LLM development
  • Hybrid and/or Remote work environment
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Foundational Model Reseach Engineer

Talk about our Company

Qualifications:

  • 3-5 years of experience in software engineering.
  • Strong engineering and/or ML background.
  • Experience working with LLMs and AI-driven projects.
  • Expertise in product engineering and infrastructure for scalable AI solutions.

Responsibilities:

  • Accelerate onboarding of new customers and execute on product roadmap.
  • Collaborate with users and customers to develop valuable product features.
  • Work across the stack, including product engineering and LLMs, to process large data sets.
  • Contribute to the overall business strategy, including GTM efforts.

Benefits:

  • Competitive salary
  • Dynamic work environment focused on AI and LLM development
  • Hybrid and/or Remote work environment
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Intern - LLM Research Engineer

Qualifications:

  • Currently pursuing a Master’s or PhD in Computer Science, Software Engineering, AI, or a related field.
  • Strong foundation in programming languages such as Python, JavaScript, Java, or GoLang.
  • Familiarity with frontend frameworks like HTML5, Angular, Node.js, or React.
  • Basic understanding of cloud services (AWS, GCP, Azure).
  • Interest or experience in working with Large Language Models (LLMs) and AI applications.
  • Strong problem-solving skills and ability to work in a collaborative environment.

Responsibilities:

  • Assist in developing and integrating LLM-based applications and products.
  • Support the build, training, and fine-tuning of LLMs to enhance performance.
  • Participate in designing and optimizing AI prompts.
  • Participate in code reviews and provide input for improvements.
  • Support issue resolution during testing phases and production.

Benefits:

  • Hands-on experience with cutting-edge AI and LLM technologies.
  • Mentorship from experienced professionals in the field.
  • Opportunity to contribute to impactful projects and products.
  • Potential for full-time employment upon successful completion of the internship.

Application Process:

  • Submit your resume, cover letter, and relevant project/work samples to [email address].
  • Applications are reviewed on a rolling basis.
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