Senior Fullstack Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Fullstack Engineer (AI): Designing and delivering intelligent systems to power a business growth platform with an accent on backend and AI systems. Focus on scaling MLOps practices, deploying production AI solutions, and building scalable client-facing capabilities.
Location: Must be permanently residing in the United States, excluding California and New York
Salary: $150,000–$190,000 USD
Company
is a business growth operating system supported by software designed to lead businesses toward exponential growth.
What you will do
- Design and deploy scalable AI models and intelligent system features.
- Build and support backend systems powering AI-driven functionality.
- Establish and scale MLOps practices for production AI solutions.
- Collaborate with product and cross-functional teams to deliver impactful solutions.
- Ship iterative improvements using agile methodologies and real-world feedback.
- Champion DevOps practices including CI/CD and system monitoring.
Requirements
- Bachelor’s degree or equivalent experience.
- 5+ years of software engineering experience.
- 2+ years of building and scaling AI solutions in production.
- Experience developing client-facing AI capabilities and strong backend/data systems knowledge.
- Hands-on experience with cloud, CI/CD, and containerization.
- Strong communication skills in a remote environment.
Nice to have
- Experience leading projects or mentoring engineers.
- Knowledge of RAG, prompt systems, or AI evaluation frameworks.
- Experience in SaaS or B2B environments.
- Proficiency with AI tools such as Copilot or Claude Code.
Culture & Benefits
- 100% remote work environment.
- Comprehensive medical, dental, vision, and life insurance.
- 401(k) with employer match (immediate eligibility).
- Unlimited PTO and paid parental leave.
- Professional development opportunities and company-paid holidays.
Hiring process
- Predictive Index assessment.
- Initial, panel/team, and leadership team interviews.
- Role-specific technical assessment and conversation with the hiring manager.
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