Original listing text, shown exactly as published by the company.
Your day-to-day
- Explore and preprocess raw, messy datasets; design labeling and data strategies where needed.
- Prototype model ideas, agentic/inference systems, prompt strategies, fine-tuning, and rigorous evaluations of hypotheses.
- Translate prototypes into production: build RESTful APIs, containerize applications (Docker), and deploy reliably.
- Monitor production performance, run ablation studies, and iterate with product, UX, and data teams to improve impact.
- Identify and investigate key open questions — why are these clusters meaningful, what decisions do they drive? — and craft well-reasoned solutions.
- Tackle ambiguous problems with curiosity, initiative, and a strong sense of ownership.
- Collaborate with cross-functional teams (Product, Design, DevOps, and UI) to turn ideas into shipped, impactful features.
Your skills and experience
- Strong Python programming skills with deep, hands-on experience.
- 3+ years of experience working on LLM-related or advanced AI model projects (prompting, fine-tuning, or building generative agents).
- Knowledge of TypeScript, JavaScript, React, and front-end development fundamentals.
- Proven experience developing robust RESTful APIs and containerizing applications (Docker; Kubernetes is a plus).
- Solid Linux and DevOps skills, including Git, Jira, CI/CD pipelines, and performance monitoring.
- Strong analytical mindset — you don't just build clusters; you interpret their meaning, communicate impact, and connect insights to business outcomes.
- Ability to independently identify important questions and develop thoughtful, well-reasoned answers.
- Motivation to solve problems without ready-made solutions and to explore the unknown.
- Strong data analytics skills — beyond modeling, you interpret results, assess significance, and drive product decisions.
