[Remote] AI Engineer

Note: The job is a remote job and is open to candidates in USA. Robots & Pencils designs AI systems that integrate engineering with creativity to support real people and enterprise workflows. The AI Engineer will contribute to developing, deploying, and supporting AI/ML and LLM-powered systems, pipelines, and agentic capabilities while collaborating with cross-functional teams and growing under the guidance of senior engineers.

Responsibilities

• Build and ship features of AI/ML and LLM-powered systems with guidance from senior engineers, contributing to solutions that run in production
• Implement and maintain components of AI/ML and AI agent pipelines from data ingestion through model deployment, picking up the unglamorous parts as you grow
• Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, working alongside senior engineers
• 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 to move projects forward effectively
• Document experiments, results, and model decisions clearly so findings can be built upon, replicated, and shared across the team
• Participate in code reviews and team discussions, contributing your perspective and incorporating feedback
• Take ownership of assigned tasks and deliver end-to-end with consistency and follow-through
• Share learnings from experiments and research with the broader team, contributing to a culture of continuous improvement
• Bring intellectual curiosity to every problem — ask good questions, explore new approaches, and stay hungry to grow your craft

Skills

• 3+ years of professional software engineering experience, with hands-on exposure to AI/ML systems and generative AI development
• Solid software engineering foundation (Python or similar)
• Foundational knowledge of cloud platforms (AWS, GCP, or Azure), with interest in deepening AWS and AWS GenAI expertise
• Exposure to building or contributing to agentic AI systems alongside more senior engineers
• Familiarity with AI frameworks and orchestration tools
• Familiarity with evaluation and observability practices for LLM apps
• Awareness of AI safety, responsible AI principles, prompt injection risks, and PII handling
• Exposure to RAG pipelines: chunking strategies, embedding models, and vector databases
• Experience building or integrating with APIs, including internal and third-party services
• Awareness of LLM cost considerations such as token economics and caching strategies
• Working knowledge of Docker for containerized deployments, with exposure to Kubernetes
• Demonstrable, day-to-day usage of AI-forward coding tools such as Claude Code and Cursor
• A doer
• A fast learner who knows you don't know everything
• Direct in a way that makes the work better
• Obsessed with craft
• Built for ownership
• All in
• Resourceful when the budget, timeline, or team is tight
• Glad to be in the room with people who care as much as you do

Benefits

• Paid time off
• Medical/dental/vision insurance
• 401(k) to eligible employees

Company Overview

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