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Staff AI Engineer

2 months, 3 weeks ago
United States
Full-time
Lead
AI Engineer
Software Development
AWS Docker Generative AI Kubernetes Machine Learning Microservices Python Serverless
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 8

Description

  • Lead the design and implementation of complex AI/ML systems from research through production at scale.
  • Own architecture decisions for AI systems and drive technical solutions end to end.
  • Build and evolve scalable ML platforms, pipelines, and infrastructure for repeatable development and deployment.
  • Set engineering standards and help raise the quality of how AI systems are built across the team.
  • 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 for technical and non-technical stakeholders.
  • Lead design reviews and technical discussions to strengthen engineering rigor and constructive challenge.
  • Define AI architecture with attention to long-term implications, responsible AI practices, reliability, cost, and safety.
  • Mentor and coach junior and mid-level engineers through code reviews, pairing, and problem-solving.
  • Take ownership of ambiguous, high-stakes work and drive it to production.

Requirements

  • 7+ years of professional software engineering experience.
  • 4+ years of experience focused on AI/ML systems in production.
  • Deep hands-on experience with generative AI development.
  • Strong software engineering background in Python or a similar language.
  • Experience designing scalable and maintainable systems.
  • Deep expertise with cloud platforms, including AWS services and AWS GenAI offerings.
  • Proven track record of designing and shipping complex agentic systems in production environments.
  • Mastery of AI frameworks and orchestration tools.
  • Strong experience with evaluation frameworks and observability tools for LLM applications, including building these capabilities where they do not yet exist.
  • Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling.
  • Extensive experience building RAG pipelines, including chunking strategies, embedding models, vector databases, and advanced retrieval techniques.
  • API design experience, including architecting and integrating with internal and third-party services at scale.
  • Advanced cost optimization expertise, including token economics, caching strategies, model routing, and quantization.
  • Strong working knowledge of Docker and Kubernetes for containerized deployments.
  • Demonstrable day-to-day usage and expert knowledge of AI-forward coding tools such as Claude Code and Cursor.

Benefits

  • Salary range of $177,375 – $209,625 USD.
  • Opportunity to work on production-ready AI delivered in 30 to 45 days.
  • Role with high ownership and technical leadership scope.
  • Work on in-flight, real-world AI systems where reliability, security, and scalability matter.
  • Chance to shape engineering standards and influence how AI work scales over time.

Interested in this position?

Apply directly on the company website

Apply Now

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