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

We’re looking for a Senior 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 workflow 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. 

Why Join Robots & Pencils? 

At Robots & Pencils, you’ll join a global team of engineers, designers, and strategists who care deeply about craftsmanship, collaboration, and innovation. You’ll work on meaningful, production-grade systems that impact real users at scale, within a mature and evolving engineering environment. 

You’ll collaborate with experienced teams across backend, frontend, and infrastructure, gaining exposure to advanced AWS practices and modern architecture through our globally recognized partnerships. As part of a leading AI and cloud engineering organization, you’ll have the opportunity to grow your skills while contributing to high-impact digital products. 

If you enjoy building across the stack, solving real integration challenges, and being part of a high-performing, globally distributed team, we’d love to meet you.

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

We’re looking for a Fullstack Engineer (Level 3) to support the development and delivery of complex, integration-heavy platforms. This role is ideal for a solid engineer who enjoys hands-on development, can deliver features with some guidance, and is growing into owning larger parts of the system. 

In this role, you will work as part of a cross-functional team, contributing across the stack while helping build reliable systems and solve integration challenges, 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 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 

Fullstack Development 

• Build and maintain backend services using Node.js (and some Python), 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 solid unit testing practices  

Workflow & System Orchestration 

• Contribute to workflows using orchestration tools (e.g., workflow engines, state machines)  

• Support event-driven processes and asynchronous system operations (e.g., SQS, EventBridge)  

• Help improve system reliability through error handling and retries  

Backend & API Engineering 

• Develop RESTful APIs and contribute to backend architecture  

• Integrate with third-party services and internal systems, including AI-driven platforms  

• Assist in optimizing performance and scalability of services (e.g., DynamoDB patterns)  

• Follow secure and reliable data handling practices  

System Reliability & Support 

• Troubleshoot issues in production environments with support from senior team members  

• Contribute to logging, monitoring, and debugging efforts  

• Assist with 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  

• Deliver assigned features end-to-end with guidance  

• Continue developing technical skills, including AI-assisted development tools  

Required Skills & Experience 

• 3–5 years of professional software engineering experience  

• Strong experience with Node.js  

• Experience building and maintaining fullstack applications  

• Basic to intermediate experience with cloud environments (AWS preferred)  

• Familiarity with API design and backend systems  

• Familiarity with databases (SQL and/or NoSQL)  

• Experience working in production environments  

• Solid unit testing practices  

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

Nice to Have 

• Experience with Python  

• Exposure to event-driven architectures  

• Familiarity with AWS services (Lambda, DynamoDB, S3, SQS, etc.)  

• Exposure to workflow orchestration tools  

• Exposure to AI/LLM-based systems (e.g., LangChain, LangGraph)  

• Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., CDK)  

• Experience working in collaborative, distributed teams  

Why Join Robots & Pencils? 

At Robots & Pencils, you’ll join a global team of engineers, designers, and strategists who care deeply about craftsmanship, collaboration, and innovation. You’ll work on meaningful, production-grade systems that impact real users at scale, within a mature and evolving engineering environment. 

You’ll collaborate with experienced teams across backend, frontend, and infrastructure, gaining exposure to advanced AWS practices and modern architecture through our globally recognized partnerships. As part of a leading AI and cloud engineering organization, you’ll have the opportunity to grow your skills while contributing to high-impact digital products. 

If you enjoy building across the stack, solving real integration challenges, and growing within a high-performing, globally distributed team, we’d love to meet you. 

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

We’re looking for a Senior Fullstack Engineer to help build and maintain modern applications that integrate backend services, orchestration systems, and scalable APIs. You will work across the stack using Node.js, contributing to backend services and supporting frontend integrations while working within established architectures.  

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 

Fullstack Development 

• Build and maintain backend services using Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)  

• Develop and integrate APIs that support frontend applications and external systems, including institutional platforms and AI-driven services  

• Contribute to frontend features using modern state management (e.g., Redux Toolkit with slices, async thunks, memoized selectors) and accessible, interactive UI patterns such as drag-and-drop with keyboard and screen reader support  

• Write clean, maintainable, and well-tested code, maintaining high test coverage (90%+ across unit and integration tests)  

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., message queues, distributed workflows)  

• Assist in improving reliability through better error handling and retries  

Backend & API Engineering 

• Develop RESTful APIs and support microservices architecture  

• Integrate with third-party services and internal systems, including large-scale institutional data platforms  

• Assist in optimizing performance and scalability of services using patterns such as NoSQL single-table design (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  

Collaboration & Growth 

• Work closely with cross-functional teams across global locations, contributing to large-scale platforms such as next-generation degree planning systems for university partners  

• Participate in code reviews and team discussions  

• Take ownership of assigned features and tasks, delivering end-to-end solutions from UI to API to database  

• Continue developing technical skills and learning new technologies  

Required Skills & Experience 

• 4–6 years of professional software engineering experience  

• Strong experience with Node.js  

• Experience building and maintaining fullstack applications, including delivering features end-to-end across frontend, backend, and data layers  

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

• Solid understanding of API design and backend systems  

• Experience working with cloud environments (AWS preferred), including serverless architectures  

• Familiarity with databases (SQL and/or NoSQL, including scalable design patterns)  

• Experience working in production environments  

Nice to Have 

• Experience with Python  

• Exposure to event-driven architectures  

• Familiarity with AWS services (Lambda, SQS, Step Functions, etc.)  

• Experience with CI/CD pipelines  

• Exposure to AI/LLM-based systems and data-driven platforms  

• Experience working in collaborative, distributed teams  

• Experience building user-centric platforms with modern, accessible frontend architectures  

Why Join Robots & Pencils? 

At Robots & Pencils, you’ll join a global team of engineers, designers, and strategists who care deeply about craftsmanship, collaboration, and innovation. You’ll work on meaningful, production-grade systems that impact real users at scale, within a mature and evolving engineering environment. 

You’ll collaborate with experienced teams across backend, frontend, and infrastructure, gaining exposure to advanced AWS practices and modern architecture through our globally recognized partnerships. As part of a leading AI and cloud engineering organization, you’ll have the opportunity to grow your skills while contributing to high-impact digital products such as platforms that modernize user experiences through real-time, data-driven guidance. 

If you enjoy building across the stack, solving real integration challenges, and being part of a high-performing, globally distributed team, we’d love to meet you. 

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI

Enterprise clients want to deploy Agents -  moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable.  The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

Product Strategy & AI Vision

• Define and drive the product vision, strategy, and roadmap for GenAI solutions - with agentic AI (agent orchestration, tool use, multi-step workflows) as the primary focus - connecting AI capabilities to enterprise business outcomes
• Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities with explicit tradeoffs on invest in vs. defer
• Balance near-term deployment milestones with long-term platform scalability and sustainability
• Monitor the competitive GenAI landscape and emerging agentic patterns to inform roadmap and technology decisions

Discovery & Validation

• Research how enterprise users interact with AI agents and where they lose trust; frame the riskiest assumptions as testable hypotheses and de-risk them first
• Design and run experiments - POCs, pilot deployments, scenario-based testing of multi-step workflows, edge cases, and failure recovery - to validate agentic solutions where non-deterministic output makes traditional QA insufficient
• Distill research, experiments, and competitive intelligence into clear insights that pave the path for a successful product
• Agent Design, Prototyping & Production
• Define agent behavior and prototype system prompts and tool schemas; partner with engineering on context management - summarization, working memory, and information flow across multi-step tasks
• Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
• Build AI prototypes to validate hypotheses; define human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output
• Establish agent evaluation frameworks - task completion, reasoning quality, tool selection, failure recovery, safety - and partner with engineering on production readiness (observability, drift, responsible AI, prompt versioning)
• Define success metrics at the agent level - task completion rate, cost per task (not per inference), escalation rate, time to resolution, and customer trust alongside business KPIs
• Delivery & Execution
• Own the end-to-end product lifecycle from discovery through phased rollouts; establish the metrics framework (north star, input, guardrail metrics) and report product impact to leadership
• Manage the product backlog, scope, dependencies, and risks; drive agile ceremonies and produce high-quality PRDs, product briefs, and decision logs
• Evaluate technology and platform decisions from a product perspective; create deployment playbooks, reference architectures, and knowledge transfer materials so teams sustain solutions independently
• Use AI to accelerate product work - research, analysis, prototyping, documentation - with judgment on when it needs human oversight; onboard rapidly to new domains and support team members across the initiative

Stakeholder Management

• Build trusted relationships with stakeholders and executives; serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
• Partner with AWS Solution Architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
• Manage expectations on scope, timelines, and tradeoffs; facilitate decisions across competing priorities using data, alternatives, and clear rationale
• Frame AI capabilities and limitations for non-technical stakeholders - manage hype cycles, set realistic expectations; surface unmet needs that deepen relationships and grow the account

Required Skills

• 8-12+ years in product management, forward deployment, or solutions engineering; must have shipped AI products from prototype through production at scale
• Strong product sense - ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes
• Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)
• Proven ability to prototype AI solutions using AI tools (Cursor, Claude, Copilot) to validate hypotheses and de-risk product decisions
• Experience deploying AI solutions in enterprise environments with strong technical fluency - can read code, evaluate architectures, make product tradeoffs on technical constraints, and drive scalable deployment patterns
• Exceptional communicator - clear PRDs, technical specs, and decision logs; has led AI products through full lifecycle and driven alignment with Directors, VPs, and C-level
• Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves weekly
• PM-level fluency across the AWS AI ecosystem - Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions - to make informed product and architecture decisions

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript)
• Agency or consulting delivery experience
• Experience in Financial Services, Healthcare, or Life Sciences industries
• Familiarity with open-source LLM ecosystem (Llama, Mistral) for flexibility and cost optimization
• Prior experience leading time-boxed discovery initiatives or technical spikes with rapid validation cycles

Why Join R&P?

You'll work at the intersection of cutting-edge AI and real enterprise impact - helping clients deploy Generative and Agentic AI solutions that change how their businesses operate. R&P gives you the variety of consulting (new problems, new industries, new tech) with the depth of a product role - you'll build, ship, and measure, not just advise. The team is collaborative, technically sharp, and genuinely invested in doing great work for clients.

• Brief Summary of Work:
  • At Robots & Pencils, we harness the power of data to help our clients achieve meaningful digital transformation. We’re seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights. 
    
    This is a high-impact role ideal for a candidate who thrives at the intersection of innovation and execution. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions. 
    
    
    
    
    
    About You 
    
    You’re passionate about discovering what data can reveal. You approach problems with curiosity and scientific rigor, always looking to test, learn, and improve. You have deep experience with statistical modeling, machine learning, and experimentation. You're collaborative, business-savvy, and known for delivering results that move the needle. 
    
    Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers. 
    
    
    
    
    
    
    
    
    
    What You’ll Do 
    
    Modeling & Advanced Analytics 
    
    Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). 
    Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges. 
    Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact. 
    
    Data Exploration 
    
    Analyze large, complex datasets to extract key insights and translate them into strategic recommendations. 
    Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization. 
    Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions. 
    
    Partnership & Enablement 
    
    Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications. 
    Mentor junior data scientists, supporting technical development and scientific rigor. 
    Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact. 
    
    
    
    
    
    Qualifications & Experience 
    
    7+ years of professional experience in data science, statistics, and applied machine learning. 
    Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies. 
    Building and deploying Data Mesh architectures. 
    Strong experience in AWS tools and infrastructure and cloud AI and data tools essential. Experience in working in other cloud environments (GCP, or Azure) would be an advantage. 
    
    Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks. 
    Proven track record in statistical modeling, time series forecasting, NLP, or optimization. 
    Experience designing and analyzing controlled experiments (A/B testing, uplift modeling). 
    Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering. 
    Experience with tools such as Databricks, SageMaker, and Snowflake is essential. 
    Experience of Palantir would be an advantage. 
    AWS cloud certifications or ML specialization credentials are an advantage. 
    
    Core Competencies 
    
    Scientific Thinking – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically. 
    Practical Execution – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy. 
    Business Acumen – Understands the “why” behind the data; aligns analysis with client goals and product strategy. 
    Ownership & Accountability – Delivers high-quality, reliable work end-to-end; takes pride in outcomes. 
    Communication – Explains technical results clearly and persuasively to diverse audiences. 
    Team Collaboration – Works effectively across functions and time zones; contributes to a culture of openness and shared learning. 
    
    
    
    
    
    Why Join Robots & Pencils? 
    
    At R&P, we don’t just build software; we help our clients build the future. We are a diverse, globally distributed team that thrives on solving challenging problems and delivering exceptional results. If you're a data scientist who’s excited about building intelligent systems that deliver measurable impact, we’d love to hear from you.
• Tech stack:
  • Python, TensorFow/PyTorch, Data Mesh, AWS, Databricks, SageMaker, Snowflake