Gugu Robotics

Full-stack Engineer

• Lead the design and delivery of complex, integration-heavy platforms
• Define front-end architecture and technical strategy, designing scalable platforms and leading complex UI systems development (e.g., React, Angular, Next.js, TypeScript)
• Define front-end standards and best practices, and contribute to shared design systems
• Lead back-end development and API architecture, integrating complex systems and third-party platforms (e.g., Node.js, Python)
• Design efficient database schemas and optimize performance across relational and NoSQL systems
• Drive backend performance, scalability, and reliability, and own implementation of security best practices including authentication and authorization
• Lead monitoring, observability, and reliability practices across production systems
• Lead the design and integration of AI services into production full-stack systems, including LLM APIs, streaming, tool and function calling, multi-step agent flows, and RAG patterns
• 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
• Collaborate closely with cross-functional teams to align technical decisions with product and business goals
• Communicate complex technical tradeoffs and architectural decisions clearly across engineering and non-engineering stakeholders
• Lead code reviews and design discussions, raising the quality bar for the team
• Establish front-end and full-stack engineering standards that lift quality and consistency across the team
• Mentor junior and mid-level engineers, helping them grow their craft, confidence, and impact
• Make architectural decisions with thoughtful consideration of tradeoffs and long-term implications

Staff Full Stack Engineer

Software Engineer

• We’re looking for a Staff Mobile Engineer to lead the architecture and delivery of complex mobile applications across iOS and Android.
• Define mobile architecture and technical strategy across iOS and Android applications (e.g., Swift, Kotlin)
• Lead design and implementation of scalable mobile platforms and complex UI systems (e.g., SwiftUI, UIKit, Jetpack Compose)
• Define mobile development standards and best practices, and contribute to shared design systems
• Drive mobile performance, scalability, and reliability across deployed applications
• Own implementation of mobile security best practices including authentication, secure storage, and biometric authentication
• Lead monitoring, observability, and crash reporting across production mobile systems (e.g., Firebase Crashlytics, Sentry)
• Own CI/CD strategy and release management across the App Store and Google Play (e.g., Fastlane, GitHub Actions, Bitrise)
• 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.
• Collaborate closely with cross-functional teams to align technical decisions with product and business goals
• Communicate complex technical tradeoffs and architectural decisions clearly across engineering and non-engineering stakeholders
• Lead code reviews and design discussions, raising the quality bar for the team
• Establish mobile engineering standards that lift quality and consistency across the team
• Mentor junior and mid-level engineers, helping them grow their craft, confidence, and impact
• Make architectural decisions with thoughtful consideration of tradeoffs and long-term implications.

Staff Mobile Developer

Solutions Engineer

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production.
• Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway.
• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch.
• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives.
• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services.
• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles.
• Own architectural integrity from concept through production deployment on AWS.
• Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.
• Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance.
• Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation.
• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities).
• Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams.
• Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config.
• Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments.
• Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies.
• Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity.
• Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings.
• Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators.
• Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping.
• Collaborate across distributed teams and client stakeholders across North America.

VP of Solutions Architect – AI

AI Engineer

• 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, multiplying impact through coaching, code reviews, and pairing on hard problems
• Take ownership of the most ambiguous and highest-stakes pieces of work, driving them through to production with care for reliability, cost, and safety.

Staff AI Engineer

• Lead and grow a geographically aligned engineering organization at the director level
• Own regional P&L
• Set the standard for AI-forward engineering
• Ensure successful delivery of client and internal initiatives while developing technical talent
• Collaborate with other Engineering Directors and Managers to keep standards consistent across regions

Director of Engineering

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production.
• Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway.
• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch.
• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives.
• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services.
• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles.
• Own architectural integrity from concept through production deployment on AWS.
• Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.
• Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance.
• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities).

Solutions Architect – AI

Operations

• Lead the operational setup and go-to-market infrastructure for a managed services offering, partnering with sales, delivery, and finance to design scalable service models, SLAs, and supporting processes
• Define and implement KPIs and benchmarking frameworks across delivery, talent, and finance that give leadership clear, consistent visibility into business health and performance trends
• Partner with the VP of Operations, COO, and senior leadership to identify strategic opportunities, shape operational initiatives, and translate business priorities into executable plans
• Identify and eliminate operational bottlenecks across the firm by redesigning workflows, standardizing processes, and creating playbooks that improve consistency and quality at scale
• Implement AI-powered tools and automation into administrative processes, with a focus on talent acquisition (sourcing, screening, scheduling) and talent experience (onboarding, engagement, offboarding)
• Champion a culture of continuous improvement across operations, using data and feedback loops to drive iterative enhancements
• Own end-to-end implementation and ongoing oversight of the firm’s PSA (Professional Services Automation) platform, ensuring it supports accurate project tracking, resource planning, utilization reporting, and billing workflows
• Oversee the HRIS system, partnering with the talent team to ensure data integrity, compliance, and seamless integration across people operations
• Lead the design and deployment of Slack automations that streamline internal workflows, reduce administrative overhead, and improve cross-functional coordination
• Drive compliance-side readiness for AWS GenAIIC certification, coordinating across teams to document controls, meet requirements, and maintain certification standards
• Manage IT cost strategy across applications and AI token consumption, identifying optimization opportunities and establishing governance frameworks that balance capability with spend
• Partner with finance and practice leads to review and validate billing rates and delivery costs, ensuring pricing reflects market positioning, margin targets, and competitive realities
• Develop and maintain practice- and vertical-level reporting standards that give leadership accurate, actionable financial visibility across the business
• Implement and manage Work-in-Progress (WIP) tracking processes that improve revenue recognition accuracy, reduce billing lag, and surface project financial risk early
• Design and build a Lifetime Value (LTV) and Customer Acquisition Cost (CAC) model for the sales team, enabling data-driven decisions on client investment, pipeline prioritization, and go-to-market strategy
• Partner with internal functional leaders to successfully integrate acquired company’s commercial, operations, technology, finance, and talent systems into Robots and Pencils’ existing systems
• Lead full integration planning, including managing and coordinating workstreams, day-to-day tracking, and synergy planning
• Usher change management into the new organization.

Director of Operations

Manager

• Own end-to-end delivery of one or more managed services engagements, ensuring service commitments, SLAs, and quality targets are consistently met
• Run the operating cadence—intake, prioritization, backlog refinement, and recurring delivery—across one or more cross-functional service teams
• Manage releases, enhancements, and change requests against systems already in production while protecting stability and uptime
• Identify and proactively manage dependencies, risks, escalations, and potential SLA breaches before they impact the client
• Define, track, and report service KPIs and SLAs, using data to guide decisions, manage service health, and inform tradeoffs across scope, capacity, and budget
• Oversee incident, problem, and change management, ensuring issues are resolved within agreed response and resolution targets
• Bring an AI-forward mindset to your daily work, using tools like Claude to enhance delivery planning, reporting, and stakeholder communications
• Serve as the primary delivery contact for clients, building trusted relationships through transparency, consistency, and clear communication
• Lead stakeholder working sessions and delivery forums with confidence
• Communicate progress, risks, and tradeoffs clearly to executive and non-technical audiences
• Support Senior Delivery Managers and Client Partners in identifying opportunities to expand value within the engagement
• Lead delivery teams across onshore and offshore locations, fostering accountability, collaboration, and delivery excellence
• Mentor delivery coordinators and team members on your engagement, sharing knowledge and supporting their growth
• Foster a culture of transparency, continuous improvement, and high performance across the engagement
• Contribute to improving delivery practices, tools, and frameworks across engagements
• Participate in interviews for service team members and contribute input to hiring decisions

Managed Services Delivery Manager

IT Support

• Handle IT support requests submitted via Slack, covering both routine issues and complex problems that require deeper technical investigation or elevated access
• Resolve hardware, software, connectivity, and account-related issues for remote employees across macOS and Windows environments
• Triage, prioritize, and manage your own ticket queue with minimal supervision, meeting defined SLA targets
• Escalate issues to the next support level when they fall outside L2 scope, providing full context and steps already taken
• Document resolutions clearly and contribute to the internal IT knowledge base to reduce repeat tickets
• Manage user accounts, groups, and licenses in Microsoft Entra ID (Azure AD) and Microsoft 365 admin center
• Handle access requests, permission changes, and offboarding tasks across Exchange Online, SharePoint, OneDrive, and Teams
• Troubleshoot MFA issues and assist users with account access problems
• Assist with SharePoint site administration and OneDrive configuration as needed
• Support onboarding and offboarding workflows, including device enrollment, configuration, and deprovisioning via Rippling MDM
• Troubleshoot endpoint issues across macOS and Windows, including application installation, OS updates, and performance problems
• Assist with Sophos endpoint agent deployment, alert triage, and policy enforcement in coordination with the Senior Systems Administrator
• Provide user-level support for core business platforms, including Slack, Zoom, 1Password, Jira, Confluence, Greenhouse, and Harvest
• Assist users with SSO login issues, account access problems, and password-related requests
• Support onboarding of new hires by provisioning accounts and licenses across the R&P platform stack
• Communicate clearly with employees at all levels in written English — in Slack, Zoom, email, and documentation
• Escalate complex issues to the Senior Systems Administrator with full context and steps already taken
• Participate in async handoffs and status updates in a remote-first work culture.

IT Support Specialist

• Contribute to the development of web applications across both front-end and back-end
• Work with UI components, support back-end services, and integrate APIs across the stack
• Take ownership of well-scoped tasks and collaborate with the team
• Fix bugs, improve UI performance, and support database queries

Associate Full Stack Engineer

Backend Engineer

• Help build and maintain modern applications that integrate backend services, orchestration systems, and scalable APIs.
• Work across the stack using Node.js, contributing to backend services and supporting frontend integrations.
• Collaborate closely with senior engineers to enhance existing systems and deliver high-quality features.
• Support the development and maintenance of workflows using orchestration tools.
• Develop RESTful APIs and support microservices architecture.
• Troubleshoot issues in production environments and contribute to logging, monitoring, and debugging efforts.
• Take ownership of assigned features and tasks, delivering end-to-end solutions from UI to API to database.

Senior Fullstack Engineer, Node.js

• 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
• 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

Principal AI Engineer

Architect

• Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements
• Architect scalable cloud-native solutions, including multi-cloud and hybrid strategies (e.g., AWS, Azure, GCP, Kubernetes)
• Design data architectures including warehouses, data lakes, and pipelines for batch and streaming workloads (e.g., Snowflake, Redshift, BigQuery, Spark, Kafka)
• Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Vertex AI, MLflow, Hugging Face)
• Define infrastructure as code, CI/CD, and DevOps standards across engagements (e.g., Terraform, CloudFormation, GitHub Actions)
• Drive performance, scalability, cost, and reliability optimization across deployed systems
• Ensure architecture meets security, governance, and compliance requirements (e.g., GDPR, HIPAA, SOC2)
• Lead cloud migrations and platform modernization initiatives
• 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
• Partner with senior leadership and clients as the principal technical voice on strategy and direction
• Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike
• Engage closely with engineering, data, AI, and product teams to align architecture with broader business priorities
• Develop and maintain architecture documentation, standards, and guidelines
• Define and champion architectural standards and best practices on the engagements you support
• Mentor experienced engineers and architects, helping them grow their technical judgment and impact
• Own the most difficult architectural and integration challenges, serving as the senior technical decision-maker
• Evaluate emerging technologies and recommend tools, frameworks, and patterns that improve architecture over time.

Principal Architect

Data Engineer

• Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
• Build and optimize scalable data pipelines supporting batch and real-time processing
• Define and enforce data governance, quality standards, and compliance frameworks across the platform
• Build monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD workflows for data deployment and automation
• Drive data platform modernization, optimizing for performance, cost, and scalability
• 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
• Design and implement data contracts and event flows in collaboration with backend, platform, and engineering teams
• Lead the design and implementation of data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows
• Integrate data services with APIs, middleware, and third-party systems to support end-to-end data consumption
• Partner with leadership on data strategy, translating technical depth into decisions others can act on
• Collaborate closely with engineering, analytics, AI, and product teams to align data platforms with broader goals
• Advocate for data quality, governance, and platform best practices across teams and engagements
• Establish data engineering standards that lift the quality and consistency of work across the team
• Mentor junior and mid-level engineers, helping them grow their craft, confidence, and impact
• Make high-stakes architectural decisions with clear ownership and consideration of long-term tradeoffs

Staff Full Stack Engineer

Staff Mobile Developer

VP of Solutions Architect – AI

Staff AI Engineer

Staff AI Engineer

Director of Engineering

Solutions Architect – AI

Director of Operations

Managed Services Delivery Manager

IT Support Specialist

Associate Full Stack Engineer

Senior Fullstack Engineer, Node.js

Principal AI Engineer

Principal Architect

Staff Data Engineer