Назад
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1 день назад

Senior AI Engineer

139 750 - 188 125$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Engineer (AI/ML): Design, build, and deploy production AI/ML systems, including models, data pipelines, training workflows, and agentic applications, with an accent on reliability, performance, scalability, and responsible AI. Focus on building RAG pipelines, optimizing token economics and model routing, deploying containerized systems, and solving complex production observability and safety challenges.

Location: US Remote

Salary: $139,750–$188,125 USD per year

Company

Robots & Pencils designs and delivers production-ready AI systems and digital solutions for enterprise clients.

What you will do

  • Design, implement, optimize, and deploy AI/ML models, data pipelines, and training workflows from concept through production.
  • Maintain production AI systems by monitoring drift, debugging issues, and improving reliability, performance, and scalability.
  • Design and ship agentic systems, RAG pipelines, APIs, and integrations with internal and third-party services.
  • Contribute to AI architecture decisions, code reviews, design discussions, and end-to-end delivery ownership.
  • Collaborate with product, engineering, and data teams to translate technical tradeoffs and model behavior into actionable decisions.
  • Support engineering quality and more junior engineers through technical guidance and constructive feedback.

Requirements

  • 4+ years of professional software engineering experience, including 2+ years focused on production AI/ML systems and hands-on generative AI development.
  • Strong software engineering background with Python or a similar language.
  • Working knowledge of cloud platforms, preferably AWS and AWS GenAI services.
  • Experience with AI frameworks, orchestration tools, evaluation frameworks, and observability tools for LLM applications.
  • Experience with RAG pipelines, embedding models, vector databases, API development, Docker, and Kubernetes.
  • Knowledge of AI safety, responsible AI, prompt-injection defenses, PII handling, and AI cost optimization.

Nice to have

  • Day-to-day experience with AI-forward coding tools such as Claude Code and Cursor.
  • Experience with token economics, caching, model routing, and quantization.
  • Strong judgment when navigating ambiguous technical challenges.

Culture & Benefits

  • Ownership of meaningful AI work from architecture through production deployment.
  • Fast delivery of production-ready AI systems, with projects shipping in approximately 30–45 days.
  • Collaborative cross-functional work with experienced engineers and teams averaging more than fifteen years of experience.
  • Paid time off and medical, dental, and vision insurance for eligible employees.
  • 401(k) benefits for eligible employees.

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