3 дня назад
Staff AI Engineer (AI)
190 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Engineer (AI/backend): Building and scaling distributed backend systems and APIs that serve production machine learning models, with an accent on LLM integration, model deployment, and resilient cloud infrastructure. Focus on fine-tuning transformer models, defining MLOps and observability standards, and leading complex architecture and performance initiatives across engineering teams.
Location: Remote within the United States
Base salary: $190,000–$210,000 per year
Company
operates a U.S. Foodcare platform that combines personalized clinical nutrition, behavior-change tools, food benefits, meal planning, and online food ordering to improve health outcomes and access to nutritious food.
What you will do
- Own the architecture and implementation of distributed, high-scale backend systems and APIs serving machine learning models in production.
- Lead AI integration across product lines, including real-time and batch inference with LLMs, transformers, and classification models.
- Fine-tune and deploy pre-trained models from platforms such as Hugging Face and OpenAI for mission-critical use cases.
- Define standards for backend engineering, MLOps, model governance, observability, automation, and security.
- Mentor engineers and collaborate with product, ML research, data engineering, and DevOps leaders.
- Drive AI strategy, technical roadmaps, root-cause analysis, and performance tuning for reliable and scalable systems.
Requirements
- 8+ years of professional software engineering experience, including 2+ years at Staff Engineer level or equivalent.
- 4+ years of backend development with TypeScript, Node.js, and SQL-based relational databases such as PostgreSQL or MySQL.
- At least 1 year deploying AI or ML models to production, including hands-on fine-tuning of LLMs or transformer-based models.
- Strong knowledge of system architecture, AWS cloud infrastructure, scalable API design, and model deployment practices.
- Experience with Docker, Kubernetes, dbt, Dagster, data pipelines, technical leadership, and cross-team mentoring.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Culture & Benefits
- Remote-first work environment with flexible remote location within the United States.
- Unlimited paid time off.
- Medical, dental, and vision coverage.
- 401(k) plan and bonus opportunities.
- Registered Dietitian sessions.
- Culture centered on customer focus, urgency, high standards, respectful collaboration, and shared ownership.
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