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AI Engineer

105 000 - 147 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
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
AI Engineer (AI/ML/LLM): Building and supporting production AI/ML systems, agentic pipelines, and LLM-powered features with an accent on Python, retrieval, evaluation, and cloud deployment. Focus on implementing data-to-deployment pipelines, integrating tools and APIs, managing model quality and observability, and addressing AI safety, cost, and reliability challenges.

Location: US Remote

Salary: $105,000–$147,000 USD per year

Company

Robots & Pencils designs and delivers production-ready AI systems that integrate into enterprise workflows and client products.

What you will do

  • Build and ship AI/ML and LLM-powered features for production systems with guidance from senior engineers.
  • Implement and maintain AI/ML and agentic pipelines from data ingestion through model deployment.
  • Contribute to prompts, evaluations, retrieval workflows, tool integrations, and AI agent capabilities.
  • Prepare data through preprocessing and feature engineering, and validate model and prompt performance.
  • Collaborate with distributed, cross-functional engineering teams through code reviews, discussions, and documentation.
  • Take ownership of well-scoped tasks and share findings from experiments and research.

Requirements

  • 3+ years of professional software engineering experience with hands-on exposure to AI/ML systems and generative AI development.
  • Strong software engineering fundamentals, including Python or a similar language.
  • Foundational knowledge of AWS, GCP, or Azure, with interest in AWS and AWS GenAI.
  • Experience or exposure to agentic AI systems, AI frameworks, orchestration tools, LLM evaluation, and observability.
  • Knowledge of RAG pipelines, including chunking strategies, embedding models, and vector databases.
  • Experience with APIs, Docker, and containerized deployments, plus exposure to Kubernetes; awareness of AI safety, prompt injection, PII handling, and LLM cost management.

Nice to have

  • Day-to-day use of AI-focused coding tools such as Claude Code and Cursor.
  • Experience with AWS GenAI capabilities and deeper cloud platform expertise.

Culture & Benefits

  • Work as part of a distributed, cross-functional team alongside experienced engineers.
  • Emphasis on ownership, direct feedback, craft, continuous learning, and reliable delivery.
  • Paid time off.
  • Medical, dental, and vision insurance for eligible employees.
  • 401(k) for eligible employees.

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