Build and deploy AI features, fine-tune and maintain language and multimodal models (HuggingFace), create AI automations and agents, develop tools/frameworks, guide dataset creation, run R&D experiments from POC to production, and monitor model performance.
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 250+ 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 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
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
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
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
