обновлено 1 день назад
AI Engineer
105 000 - 147 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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