Remote Staff AI Engineer

S taff   AI  Engineer  

USA (Remote) with 20% Travel. 

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems.  

We’re looking for a Staff AI Engineer to support the development and delivery of complex, integration-heavy platforms. This role is ideal for an experienced engineer who thrives in hands-on development, can confidently own features and deployments, and contributes to team leadership within a pod.  

In this role, you will work as a key contributor on a cross-functional team, building across the stack while helping guide delivery, improve systems, and solve challenging integration problems, including AI-native platforms such as agentic learning systems designed to enable human-centered learning in the Age of AI.  

This is not a greenfield project. You’ll be joining a mature, production environment with real users, where reliability, performance, and scalability are critical. You’ll collaborate closely with senior engineers to enhance existing systems and deliver high-quality features.  

By joining us, you leverage our Advanced AWS Partnership and the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of 190,000.  

What  You’ll Do  

Development  

• Build and maintain backend services using Python and Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)
  • Develop and integrate APIs that support frontend applications and external systems
  • Contribute to frontend features and ensure smooth integration across the stack  
  • Write clean, maintainable, and well-tested code with strong unit testing practices  

Workflow & System Orchestration  

• Support the development and maintenance of workflows using orchestration tools (e.g., Sequencer / workflow engines, state machines)
  • Contribute to event-driven processes and asynchronous system operations (e.g., SQS,EventBridge)  
  • Assist in improving reliability through better error handling and retries  

Backend & API Engineering  

• Develop RESTful APIs and support the BE architecture  
  • Integrate with third-party services and internal systems, including AI-driven platforms  
  • Assist in optimizing performance and scalability of services using DynamoDB single-table design patterns (composite keys, transactional writes)  
  • Implement secure and reliable data handling practices  

  System Reliability & Support  

• Troubleshoot issues in production environments with guidance from senior team members
  • Contribute to logging, monitoring, and debugging efforts
  • Support deployment and release processes in cloud-native environments (AWS, Docker) 

  Collaboration & Growth  

• Work closely with cross-functional teams across global locations
  •Participate in code reviews and team discussions  
  • Take ownership of assigned features and tasks, delivering end-to-end solutions  
  • Continue developing technical skills and leveraging AI-assisted development tools (e.g., Claude Code) 

  Required Skills & Experience  

• 6+years of professional software engineering  
  • Strong experience with Python and Node.js  
  •  Experience with  LLM function/tool calling, prompt engineering, multi-agent orchestration, vector databases (OpenSearch), embeddings, streaming LLM responses, RAG concepts.  


• Experience working with AWS cloud environments, including Lambda, DynamoDB (and Single-Table design), S3, SQS, EventBridge, Step Functions, etc.  


• Experience building and maintaining fullstack applications  
  • Exposure to wor kflow orchestration tools (e.g., Sequencer or similar systems)  
  • Solid understanding of API design and backend systems  
  • Familiarity with databases (SQL and/or NoSQL, including scalable design patterns)  
  • Experience working in production environments  
  • Strong unit testing practices and maintainable test strategies  
  • Experience with containerization (e.g., Docker) 

  Nice to Have  

• Demonstrated ability to reason about system-wide impacts of changes, including downstream effects across services and data layers.


• Demonstrated ability to identify design gaps in requirements and raise them before they reach development.


• Experience with Langfuse, synthetic AI testing, token cost optimization, reasoning effort configuration, Step Functions for AI workflows.