Requirements

What You’ll Do

  • Implement new AI features in products
  • Build tools & frameworks augmenting the capabilities of LLM/VLMs
  • Build AI automations & AI agents
  • Fine-tune AI models
  • Fine-tune and maintain models with the HuggingFace toolkit
  • Monitor model's performance
  • Work with and guide internal teams on building custom datasets
  • Research & Development
  • Rapidly build and test AI-driven concepts — moving from proof of concept → MVP → production.
  • Evaluate existing solutions (both internal & external) and conduct experiments on potential improvements

Benefits

Why Join Us

  • Growth opportunity: This is a chance to define how AI transforms a category-leading startup — and grow your career as we scale.
  • As a part of our AI team you will be able to learn from other engineers and ongoing R&D projects.
  • Direct impact: Your work will be at the center of the most important projects in our companyCompetitive compensation and benefits

Original Advert

RemoFirst is transforming the way businesses hire and manage global teams. Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management. We partner with some of the world's most innovative companies, including Fortune 500 businesses and leading startups.
We are a small but strong team of 200+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships.
We're hiring an AI Engineer to join our team at the intersection of engineering, AI innovation, and go-to-market execution. This role is perfect for a passionate AI practitioner who wants to see their work directly impacts new innovative products, company's growth and leads to expanding own competencies in the field.

What We're Looking For

  • Technical skills
  • Strong software engineering background: Python, Rust is a nice-to-have
  • Experience in parameter-efficient fine-tuning
  • Knowledge and familiarity with the tools in AI ecosystem (ML frameworks, HuggingFace, MLOps, Guardrails, AI Agents)
  • Understanding the theory behind neural networks and Transformer architecture
  • Experience
  • 2-5 years in AI/ML space, at least 2 years with language models
  • experience with other modalities (vision, audio) is a nice-to-have
  • Track record of going from idea → prototype → production in fast-paced environments
  • Previous experience in R&D department is highly valued
  • Traits
  • Curiosity and willingness to learn
  • Ability to take ownership, but also cooperate in small teams
  • Ambition to reach new levels of quality

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