AI Engineer

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

Benefits

Paid time off for eligible employees

Medical, dental, and vision insurance for eligible employees

401(k) for eligible employees

An Applied AI Engineering Partner building AI systems designed for enterprise velocity and measurable business impact.

Chagrin Falls, Ohio, USA

https://robotsandpencils.com/

Distribution of Different Job Fields Receiving Sponsorship

100

Represents job field similar to this job

Engineering and Development

Trends of Total Sponsorships

*2025

(1)

2022

2021

Growth Stage

Total Funding

unknown

Key Investors

Slack Fund

2022-04-26

Series Unknown

Leadership Team

Leonard Pagon

Chairman & CEO

Nathan Carmon

Chief Operating Officer

Recent News

PR Newswire

Robots & Pencils Appoints Jansen Meyers Senior Vice President of Operations

Qualifications

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. You see something broken and fix it. You'd rather move on clarity than wait for certainty

A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway

Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke

Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind

Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing

All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously

Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you

Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work

Required skills

Python, AI/ML Systems, Generative AI, Cloud Platforms AWS, Cloud Platforms GCP, Cloud Platforms, Cloud Platforms Azure, Agentic AI Systems, AI Frameworks and Orchestration Tools, LLM Evaluation and Observability, Responsible AI, Retrieval-Augmented Generation (RAG), APIs, Docker, Kubernetes, Claude Code, Cursor

Experience

3+ years