Jobs at Robots & Pencils

Lead design and delivery of cloud-native infrastructure, CI/CD, Kubernetes, and platform tooling. Operate AI/ML platform infrastructure (model serving, GPU orchestration, LLM gateways, vector stores), implement IaC and DevSecOps, drive observability and cost/security practices, respond to incidents, and mentor junior engineers while collaborating across engineering, QA, and product.

Lead AI strategy engagements, manage complex client relationships, drive discovery, and deliver actionable plans to increase business effectiveness with AI solutions.

Implement, deploy, and maintain production-grade AI/ML systems and pipelines. Contribute to model training, inference services, MLOps/LLMOps workflows, monitoring, and data ingestion. Collaborate with product and engineering teams to operationalize research prototypes, debug cross-layer issues, and deliver reliable, scalable AI features.

As a Senior Fullstack Engineer, you will develop and maintain applications, integrating backend services and APIs, and ensure system reliability and performance.

Develop and maintain backend services using Node.js and support fullstack applications, collaborating on system reliability and optimization in a cross-functional team.

Lead AI architecture and technical strategy across the full lifecycle: design, build, and operate LLM-powered systems and scalable ML platforms. Implement event-driven, distributed systems, integrate AI with enterprise backends, ensure reliability/security/monitoring, and mentor engineers while shaping organizational AI standards and roadmaps.

As a Product Manager, you will manage product delivery for an AI workforce coordination platform, collaborating with cross-functional teams to define requirements and ensure quality execution.

The Principal Architect will lead the design and delivery of complex multi-domain systems, focusing on cloud, data, and AI. Responsibilities include defining technical strategy, mentoring engineers, and ensuring compliance and performance of architectures.

The Staff Data Engineer will lead data platform initiatives, define data strategy, build scalable data pipelines, and mentor junior engineers, emphasizing performance and governance.

The Principal Data Scientist will design scalable approaches for decision-making, apply diverse data science techniques, build data queries, analyze trends, and implement machine learning models. Collaboration with stakeholders and mentoring junior data scientists are key aspects of the role.

The Solutions Architect - AI will design AWS-native AI systems, ensuring alignment with business objectives and the AWS Well-Architected Framework, while leading client engagements and mentoring teams.

The Staff Full Stack Engineer will lead complex platform integrations, define technical strategies, build scalable systems, mentor junior engineers, and communicate architectural decisions effectively.

The Vice President, Client Partnerships will lead client engagement strategy, manage executive relationships, drive revenue growth, and oversee account management teams while collaborating with cross-functional leaders.

The Staff Full Stack Engineer will design and deliver complex enterprise integration platforms, focusing on full-stack applications and AWS data pipelines while mentoring junior engineers.

The Product Manager will own product delivery, managing the backlog and aligning work with business outcomes while facilitating collaboration with clients and teams.

Responsible for client P&L, building C-suite relationships, winning high-value deals, and ensuring client success while mentoring others.

As a Staff AI Engineer, you will develop backend services, integrate APIs, and optimize existing systems within a complex AI platform environment, collaborating with cross-functional teams and ensuring high reliability and performance.

The Staff AI Engineer will develop and maintain backend services, support workflows, optimize performance, troubleshoot production issues, and collaborate on feature development.

The role involves defining and driving product strategy for Generative AI solutions, overseeing product lifecycle, conducting experiments, and managing stakeholder relationships within an enterprise context.

The Staff AI Engineer will develop backend services, integrate APIs, optimize performance, and ensure system reliability in cloud-native environments.