Note: The job is a remote job and is open to candidates in USA. Robots & Pencils is looking for a Principal AI Engineer to define and drive the technical direction of their AI/ML systems. The role involves leading architecture and implementation challenges, collaborating with leadership on AI strategy, and ensuring the reliable integration of AI capabilities into enterprise operations.
Responsibilities
- Define AI architecture and technical strategy, and lead implementation across the full lifecycle from design through production
- Build scalable ML platforms, pipelines, and workflow orchestration that support model development and event-driven, asynchronous operations at scale (e.g., SQS, EventBridge)
- Architect and build LLM-powered systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG patterns, vector databases, embeddings, and streaming responses
- Design and develop APIs and backend services that integrate AI capabilities with enterprise systems and third-party platforms
- Lead model development, optimization, and the path from research to production, ensuring promising approaches translate into reliable, production-ready systems
- Ensure AI reliability, security, and scalability across deployed systems, including logging, monitoring, and debugging in production environments
- Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
- Co-define the AI roadmap with leadership, operating as a peer in strategic technical conversations
- Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike, translating depth into decisions others can act on
- Engage with product, engineering, and data teams to align AI work with broader business priorities
- Define and champion AI engineering standards that shape how the organization builds and operates AI systems
- Mentor across the organization, shaping engineering culture and developing the next generation of technical leaders
- Own high-stakes architectural decisions that carry significant organizational and cross-engagement weight
- Drive technical vision — defining not just what gets built, but how AI engineering evolves at R&P over time
Skills
- 7+ years of experience in AI/ML engineering
- Strong proficiency in Python
- Strong software engineering background, including system design, API design, code quality, and strong unit testing practices
- Experience designing and working with distributed systems and event-driven architectures
- Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility
- Experience with Amazon Quick, ServiceNow integration, Jira integration, AWS Bedrock, Agentic AI/ML (prompt engineering, agent development), Natural language querying / analytics
- Strong stakeholder communication skills, with the ability to translate technical depth across audiences
- In-depth experience with AWS, especially AWS GenAI offering; working knowledge of other cloud platforms
- Familiarity with both SQL and NoSQL databases, including scalable design patterns
- Experience with workflow orchestration tools and asynchronous system operations
- Hands-on experience with LLM systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG architectures, vector databases, embeddings, and streaming LLM responses
- Experience with containerization (e.g., Docker) and cloud-native AI architecture patterns
- Exposure to AI governance and compliance considerations in production environments
Company Overview
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