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
Company H1B Sponsorship