Staff AI Engineer

• 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 Staff AI Engineer to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical leadership across the team.

In this role, you will work as a key technical leader on a cross-functional team, defining AI architecture, leading model development and optimization, and solving challenging integration problems. You’ll be joining real, in-flight work where reliability, security, and scalability are critical. You’ll establish engineering standards, raise the bar on how we build AI systems, 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

Lead the design and implementation of complex ML/AI systems end-to-end, owning architecture decisions and driving solutions from research through production at scale

Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams

Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping the team adopt them effectively

Collaboration & Communication

Partner with product, engineering, and leadership to shape AI strategy and align technical direction with business outcomes

Translate complex AI tradeoffs, risks, and opportunities into clear narratives that drive decision-making across technical and non-technical stakeholders

Lead design reviews and technical discussions, raising the bar for engineering rigor and constructive challenge across the team

Leadership & Influence

Define AI architecture and engineering standards, bringing depth on tradeoffs, long-term implications, and responsible AI practices

Mentor and grow junior and mid-level engineers, multiplying impact through coaching, code reviews, and pairing on hard problems

Take ownership of the most ambiguous and highest-stakes pieces of work, driving them through to production with care for reliability, cost, and safety

What You’ll Bring

7+ years professional software engineering experience, with 4+ years focused on AI/ML systems in production and deep hands-on experience with generative AI development

Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems

Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI offerings

Proven track record designing and shipping complex agentic systems in production environments

Mastery of AI frameworks and orchestration tools

Strong experience with evaluation frameworks and observability tools for LLM apps, including building these capabilities where they don't yet exist

Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling

Extensive experience building RAG pipelines: chunking strategies, embedding models, vector databases, and advanced retrieval techniques

API design experience, including architecting and integrating with internal and third-party services at scale

Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization

Strong working knowledge of Docker and Kubernetes for containerized deployments

Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude Code and Cursor

Experience mentoring engineers and shaping AI engineering practices across a team or organization

Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment

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.

We Offer

20 days of paid vacation.

15 days of unpaid vacation.

All official public holidays off.

5 paid sick days without a doctor's certificate.

Medical insurance.

Military draft deferment (reservation) support.

Cooperation under a gig-contract.