AI Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $105k - $147k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 5%

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Logo of Robots & Pencils

Robots & Pencils

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Build and ship AI/ML and LLM-powered system features with guidance from senior engineers • Implement and maintain AI/ML and AI agent pipeline components from data ingestion through model deployment • Contribute to LLM-powered features including prompts, evaluations, retrieval, and tool integrations • Handle data preprocessing, feature engineering, and basic evaluation to prepare quality inputs and validate model and prompt performance • Work closely with engineers across a distributed, cross-functional team • Document experiments, results, and model decisions • Participate in code reviews and team discussions • Take ownership of assigned tasks and deliver them end-to-end • Share experiment and research learnings with the broader team • Build and support production-ready AI systems for enterprise operations and client workflows

🎯 Requirements

• 3+ years of professional software engineering experience with hands-on exposure to AI/ML systems and generative AI development • Solid software engineering foundation, including Python or similar • Foundational knowledge of AWS, GCP, or Azure; interest in deepening AWS and AWS GenAI expertise • Exposure to building or contributing to agentic AI systems • Familiarity with AI frameworks and orchestration tools • Familiarity with evaluation and observability practices for LLM applications • Awareness of AI safety, responsible AI principles, prompt injection risks, and PII handling • Exposure to RAG pipelines, including chunking strategies, embedding models, and vector databases • Experience building or integrating with internal and third-party APIs • Awareness of LLM cost considerations, including token economics and caching strategies • Working knowledge of Docker and exposure to Kubernetes • Demonstrable day-to-day usage of AI-forward coding tools such as Claude Code and Cursor • Ability to work effectively in a distributed, cross-functional team • Ability to take ownership of assigned tasks and deliver end-to-end • Ability to document experiments, results, and model decisions clearly • Ability to participate in code reviews and team discussions

🏖️ Benefits

• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k) for eligible employees

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