Robots & Pencils

Robots & Pencils

Robots & Pencils is a digital innovation firm that assists organizations in leveraging mobile, web, and AI technologies to modernize their operations and create efficient, user-centered solutions that enhance productivity and decision-making.

IT Services
51-250
Founded 2009

Description

  • Define technical strategy and lead architecture across cloud, data, and AI/ML systems from research through production.
  • Architect and deliver production-grade multi-agent agentic AI systems, including orchestration, tool use, memory, and inter-agent communication.
  • Design and build secure production workloads using Amazon Bedrock AgentCore and other AWS GenAI services.
  • Architect cloud-native solutions with AWS as the primary platform and multi-cloud or hybrid approaches where needed.
  • Design data architectures for warehouses, data lakes, and batch or streaming pipelines.
  • Design and evolve AI/ML systems, including model serving, MLOps pipelines, feature stores, and LLM-based applications.
  • Build scalable ML platforms, pipelines, and infrastructure that support repeatable model development and deployment.
  • Define infrastructure-as-code, CI/CD, and DevOps standards across engagements.
  • Optimize deployed systems for performance, scalability, cost, reliability, security, governance, and compliance.
  • Partner with leadership, clients, engineering, data, AI, and product teams as the principal technical voice; mentor engineers and lead design reviews.

Requirements

  • 8+ years of software engineering experience.
  • At least 5 years in technical leadership roles.
  • 4+ years focused on AI/ML systems in production.
  • Expert software engineering background in Python or a similar language.
  • Deep, hands-on experience designing and shipping production multi-agent agentic AI systems.
  • Deep expertise with AWS, including AWS GenAI offerings and Amazon Bedrock AgentCore.
  • Broad multi-cloud experience with Azure or GCP is a plus.
  • Strong background in microservices, serverless, containers, and event-driven systems.
  • Proficiency with infrastructure as code and CI/CD tools such as Terraform, CloudFormation, Pulumi, and GitHub Actions.
  • Strong data architecture experience across relational, NoSQL, and big data systems.
  • Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration tools such as Airflow, Prefect, and dbt.
  • Mastery of AI frameworks and orchestration tools such as LangChain, LangGraph, AgentCore, CrewAI, and AutoGen.
  • Strong experience designing production AI/ML systems, including LLMs, MLOps, and model serving.
  • Experience with evaluation frameworks and observability tools for LLM and agentic applications.
  • Deep understanding of AI safety, responsible AI, prompt injection defenses, and PII handling.
  • Extensive experience building RAG pipelines.
  • API design and systems integration experience at scale.
  • Advanced cost optimization expertise, including token economics, caching, model routing, and quantization.
  • Solid understanding of networking, security, identity, and access management in cloud environments.
  • Experience with governance, compliance, and observability frameworks.
  • Track record of senior technical leadership and mentoring experienced engineers.
  • Strong stakeholder communication skills.
  • Daily expert use of AI-forward coding tools such as Claude Code and Cursor.
  • Multi-cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications such as TOGAF or AWS/Azure/GCP are a plus.

Benefits

  • Salary range of $180,375–$230,625 USD.
  • Opportunity to work on production-ready AI delivered in 30 to 45 days.
  • High ownership and influence on technical direction and long-term system success.
  • Work on complex, high-impact enterprise AI engagements.
  • Mentorship and growth opportunities through coaching and pairing with senior engineers.

Interested in this position?

Apply directly on the company website

Apply Now

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