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Principal AI Engineer

1 month ago
United States
Full-time
Lead
AI Engineer
Software Development
AWS Docker JIRA MLOps Python SQL System Design
Apply Now
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
View All Jobs 14

Description

  • Define AI architecture and technical strategy, leading implementation from design through production.
  • Build scalable ML platforms, pipelines, and workflow orchestration for model development and 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 transition from research to reliable production systems.
  • Ensure AI reliability, security, and scalability across deployed systems, including logging, monitoring, and production debugging.
  • Co-define the AI roadmap with leadership and participate in strategic technical decision-making.
  • Communicate complex technical concepts clearly to engineering and non-engineering stakeholders.
  • Engage with product, engineering, and data teams to align AI work with business priorities.
  • Define and champion AI engineering standards while mentoring others and shaping engineering culture.

Requirements

  • 7+ years of experience in AI/ML engineering.
  • Strong proficiency in Python.
  • Strong software engineering background, including system design, API design, code quality, and unit testing.
  • Experience designing and working with distributed systems and event-driven architectures.
  • Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility.
  • Experience with Amazon Quick, ServiceNow integration, Jira integration, AWS Bedrock, agentic AI/ML, and natural language querying/analytics.
  • Strong stakeholder communication skills with the ability to translate technical depth across audiences.
  • In-depth experience with AWS, especially AWS GenAI offerings; working knowledge of other cloud platforms.
  • Familiarity with both SQL and NoSQL databases, including scalable design patterns.
  • Experience with workflow orchestration tools and asynchronous system operations.
  • Hands-on experience with LLM systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG architectures, vector databases, embeddings, and streaming LLM responses.
  • Experience with containerization, such as Docker, and cloud-native AI architecture patterns.
  • Exposure to AI governance and compliance considerations in production environments.

Interested in this position?

Apply directly on the company website

Apply Now

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