2–5 years in AI/ML space, with at least 2 years of experience with language models
Strong software engineering background: Python; Rust is a nice-to-have
Experience in parameter-efficient fine-tuning
Knowledge of AI ecosystem tools (ML frameworks, HuggingFace, MLOps, Guardrails, AI Agents) and understanding of neural networks and Transformer architectures
Requirements:
Implement new AI features in products and build tools/frameworks augmenting LLM/VLM capabilities
Fine-tune and maintain models using the HuggingFace toolkit and monitor model performance
Build AI automations/AI agents and guide internal teams on creating custom datasets
Rapidly prototype and test AI concepts from proof of concept to MVP to production, evaluating existing solutions and conducting experiments
Job description
We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc. 5000 list of fastest-growing companies in 2025. Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.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
