Robots and Pencils
Technology
StaffAIEngineer
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff AI Engineer at Robots and Pencils. Skills: AI/ML systems, ML platforms, Agentic AI/ML, Generative AI. Lead design and implementation. Own architecture decisions”
What You'll Achieve.
Ship production-ready AI; Create measurable impact
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
7+ years software engineering, 4+ years AI/ML production, Expert software engineering, Deep expertise cloud platforms, Mastery AI frameworks, Extensive RAG pipelines experience, API design experience, Advanced cost optimization expertise, Working knowledge Docker, Working knowledge Kubernetes, Demonstrable AI-forward coding tools usage, Expert knowledge AI-forward coding tools, Excellent problem-solving skills
Nice to Have
Generative AI development experience, Experience with Amazon Quick, Experience with ServiceNow integration, Experience with Jira integration, Experience with AWS Bedrock, Experience with Agentic AI/ML, Experience with Natural language querying, Experience with analytics, In-depth understanding AWS services, In-depth understanding AWS GenAI, Experience with evaluation frameworks, Experience with observability tools, Experience building LLM capabilities, Prompt injection defenses knowledge, PII handling knowledge, Chunking strategies knowledge, Embedding models knowledge, Vector databases knowledge, Advanced retrieval techniques knowledge, Integrating with internal services, Integrating with third-party services, Token economics knowledge, Caching strategies knowledge, Model routing knowledge, Quantization knowledge, Experience mentoring engineers, Experience shaping AI engineering practices
What You'll Do.
Lead design and implementation
Own architecture decisions
Drive solutions from research
Build scalable ML platforms
Evolve scalable ML platforms
Support model development
Support model deployment
Set AI engineering standard
Partner with engineering
Partner with leadership
Align technical direction
Translate AI tradeoffs
Translate AI opportunities
Drive decision-making
Lead technical discussions
Raise bar engineering rigor
Define AI architecture
Define engineering standards
Mentor junior engineers
Mentor mid-level engineers
Grow junior engineers
Grow mid-level engineers
Take ownership ambiguous work
Take ownership high-stakes work
Drive work to production
How You'll Work.
Team & Collaboration
Cross-functional team; Technical stakeholders; Non-technical stakeholders
Communication Scope
Clear narratives
Full Job Description
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
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