Senior AI Engineer
Location: This position can be located in the following area(s): US (remote) with 20% Travel.
Company Overview
Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there.
We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship.
Position Overview
We’re looking for a Senior AI Engineer to design, build, and deliver production AI/ML systems. This role is ideal for an engineer with several years of experience who can confidently own features end-to-end, contribute to architectural decisions, and bring strong technical judgment to the problems they take on.
In this role, you will work as a key contributor on a cross-functional team, designing and implementing models, building the data pipelines and training workflows around them, and deploying systems to production environments. You’ll be joining real, in-flight work where reliability, performance, and scalability matter. You’ll collaborate with experienced engineers to enhance existing systems, deliver new capabilities, and contribute to the technical decisions that shape how our AI work scales over time.
Why This Role Matters
At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.
Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.
What You’ll Do
Craft & Delivery
Design, implement, and deploy ML/AI models end-to-end, from concept through production, including data pipelines, training workflows, and optimization for performance, accuracy, and efficiency
Maintain and evolve AI systems in production, monitoring for drift, debugging issues, and driving ongoing improvements to reliability and scalability
Bring an AI-forward coding mindset to your daily work, using tools like Claude and Cursor to ship higher-quality work at pace
Collaboration & Communication
Partner closely with product, engineering, and data teams to align AI work with broader product and business goals
Translate technical tradeoffs, model behavior, and constraints into terms non-specialists can act on
Participate actively in code reviews and design discussions, raising concerns and offering constructive feedback
Leadership & Influence
Contribute to AI architecture decisions with thoughtful perspective on tradeoffs and long-term implications
Take ownership of meaningful work end-to-end, including the unglamorous parts of getting AI into production
Raise the bar on engineering practices through your own work and by supporting more junior engineers when opportunities arise
What You’ll Bring
4+ years professional software engineering experience, with 2+ years focused on AI/ML systems in production and hands-on experience with generative AI development
Strong software engineering background (Python or similar)
Working knowledge of cloud platforms, preferably with in-depth understanding of AWS services and AWS GenAI offerings
Proven ability to design and ship agentic systems
Experience with AI frameworks and orchestration tools
Experience with evaluation frameworks, and observability tools for LLM apps
Understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling
Hands-on experience building RAG pipelines: chunking strategies, embedding models, vector databases
API development experience, including designing and integrating with internal and third-party services
Cost optimization expertise: token economics, caching strategies, model routing, quantization
Working knowledge of Docker and Kubernetes for containerized deployments
Demonstrable, day-to-day usage and knowledge of AI-forward coding tools such as Claude Code and Cursor
Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment
Helpful Extras and Unique Skills
You’ll Do Well Here if You Are
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.