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AI Engineer

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: Robots and Pencils
Full Time position
Listed on 2026-06-01
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, AI Engineer, Software Engineer
Job Description & How to Apply Below
Position: Staff AI Engineer
Staff AI Engineer

Onsite 1-2 Day(s) a Week in Newark, NJ Office.

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,Event Bridge)

    • 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 Dynamo

    DB 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 (Open Search), embeddings, streaming LLM responses, RAG concepts.
  • Experience working with AWS cloud environments, including Lambda, Dynamo

    DB (and Single-Table design), S3, SQS, Event Bridge, Step Functions, etc.
  • Experience building and maintaining fullstack applications

    • Exposure to workflow orchestration tools (e.g., Sequencer or similar systems)

    • Solid understanding of API design and backend systems

    • Familiarity with databases (SQL and/or No

    SQL, including scalable design patterns)

    • Experience working in production environments

    • Strong unit testing practices and maintainable test strategies

    • Experience with containerization (e.g., Docker)
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