Staff AI Developer leading scalable AI/ML architecture and production delivery at Robots and Pencils. Building reliable, secure systems for enterprise workflows and mentoring engineering teams.
Responsibilities
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
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
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 through coaching, code reviews, and pairing on hard problems
Take ownership of ambiguous and high-stakes work through production, with care for reliability, cost, and safety
Requirements
7+ years professional software development experience, with 4+ years focused on AI/ML systems in production and deep hands-on experience with generative AI development
Expert software development 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
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