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Staff AI Engineer
Gugu RoboticsStaff AI Engineer leading design and delivery of AI/ML systems at Robots and Pencils. Focused on technical leadership and AI strategy alignment across teams.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and implementation of scalable ML/AI systems, with a strong focus on architecture, responsible AI practices, and mentoring engineering teams. Proficient in translating complex AI concepts into actionable strategies that align with business objectives.
Highest-signal resume keywords
AI/ML Systems DevelopmentPython ProgrammingAWS Cloud PlatformsGenerative AI DevelopmentAI Frameworks Mastery
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI Safety PrinciplesAPI DesignCost OptimizationRAG Pipeline DevelopmentEvaluation FrameworksObservability ToolsContainerization with DockerKubernetes DeploymentPrompt Injection Defenses
Soft Skills
MentoringTechnical LeadershipCross-Functional CollaborationEffective CommunicationProblem-Solving
Tools & Technologies
Claude CodeCursorLLM ApplicationsVector DatabasesEmbedding Models
Industry Keywords
AI StrategyEngineering StandardsModel DevelopmentProduction EnvironmentsAgentic Systems
Tech Stack
Tools & technologiesAWSCloudDockerKubernetesPython
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 7+ years professional software engineering experience, with 4+ years focused on AI/ML systems in production and deep hands-on experience with generative AI development
- Expert software engineering background (Python or similar) with strong design sensibilities for scalable, maintainable systems
- Deep expertise with cloud platforms, including in-depth understanding of AWS services and AWS GenAI offerings
- Proven track record 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 apps, including building these capabilities where they don't yet exist
- Deep understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling
- Extensive experience building RAG pipelines: 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: token economics, caching strategies, model routing, 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
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options