Founding Full Stack Engineer - LLM, Applied AI (no prior LLM experience required)

Berry
Anywhere
Workplace: RemoteFull timeUSD 50,000 - 85,000 annuallyFunction: Software EngineeringSkills: ["Teamwork","Communication","Collaboration","Problem-solving","Adaptability"]

A founding full stack engineer to join Berry’s early-stage team, building scalable, full-stack systems for an applied AI/LLM-focused product. You’ll ship quality code, learn continuously, and collaborate with a small, experienced team and hiring manager to grow the platform used by hundreds of millions of users. Prior LLM experience is not required but strong code fundamentals are essential.

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Berry
Berry
2 years ago

Founding Full Stack Engineer - LLM, Applied AI (no prior LLM experience required)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

A founding full stack engineer to join Berry’s early-stage team, building scalable, full-stack systems for an applied AI/LLM-focused product. You’ll ship quality code, learn continuously, and collaborate with a small, experienced team and hiring manager to grow the platform used by hundreds of millions of users. Prior LLM experience is not required but strong code fundamentals are essential.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Develop and maintain full-stack features for an LLM-focused product, from conception to production.
  • •Collaborate with a small, cross-functional team to ship features and iterate quickly.
  • •Write clean, maintainable code and contribute to improving code quality and testing practices.
  • •Learn new AI/ML concepts and keep pace with evolving technologies.
  • •Participate in the company’s founding phase, helping shape product direction and engineering culture.

Pay and Benefits

Salary: USD 50,000 - 85,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience shipping high-quality code in a fast-paced environment.
  • •Demonstrated willingness and ability to learn continuously and adapt to new technologies.
  • •Strong teamwork and collaborative skills with a positive, team-player attitude.
Experience:Applied AILLMMachine learning
Skills:TeamworkCommunicationCollaborationProblem-solvingAdaptability
Tech Stack:PythonTypeScriptMachine Learning

Company Brief

Berry
Provides an AI-powered virtual assistant that automates tasks, answers user queries, and integrates with business tools to improve productivity, streamline workflows, and enhance customer engagement for teams and organizations.
Industry: AI & Machine Learning
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