Senior AI Engineer

Robots & Pencils

. Design, implement, and deploy ML/AI models end-to-end from concept through production .

Posted 9/28/2026full-timeRemote • United StatesSenior💰 $139,750 - $188,125 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, implementing, and deploying AI/ML models, with a strong focus on performance optimization and productionization. Proficient in building data pipelines, API development, and utilizing cloud platforms, particularly AWS, to support scalable AI systems.

Highest-signal resume keywords

AI/ML Systems Production ExperiencePython ProgrammingAWS Services KnowledgeGenerative AI DevelopmentDocker and Kubernetes Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceData Pipeline DevelopmentAPI DevelopmentModel OptimizationEvaluation FrameworksRAG Pipeline BuildingCost OptimizationAI FrameworksObservability Tools

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

Claude CodeCursorDockerKubernetesAWS GenAI

Industry Keywords

AI SafetyResponsible AI PrinciplesPrompt Injection DefensesPII HandlingModel Routing

Tech Stack

Tools & technologies

AWSCloudDockerKubernetesPython

About the role

Key responsibilities & impact

Design, implement, and deploy ML/AI models end-to-end from concept through production
Build data pipelines and training workflows
Optimize models for performance, accuracy, and efficiency
Maintain and evolve production AI systems
Monitor for drift and debug production issues
Drive ongoing improvements to reliability and scalability
Use AI-forward coding tools such as Claude and Cursor
Partner with product, engineering, and data teams to align AI work with product and business goals
Translate technical tradeoffs, model behavior, and constraints for non-specialists
Participate in code reviews and design discussions
Contribute to AI architecture decisions
Own meaningful work end-to-end, including productionization
Raise engineering standards and support more junior engineers

Requirements

What you’ll need

4+ years professional software engineering experience
2+ years focused on AI/ML systems in production
Hands-on experience with generative AI development
Strong software engineering background, including Python or similar
Working knowledge of cloud platforms, preferably with in-depth understanding of AWS services and AWS GenAI offerings
Proven ability to design and ship agentic systems
Experience with AI frameworks and orchestration tools
Experience with evaluation frameworks and observability tools for LLM apps
Understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling
Hands-on experience building RAG pipelines, including chunking strategies, embedding models, and vector databases
API development experience, including designing and integrating with internal and third-party services
Cost optimization expertise, including token economics, caching strategies, model routing, and quantization
Working knowledge of Docker and Kubernetes for containerized deployments
Demonstrable day-to-day usage and knowledge of AI-forward coding tools such as Claude Code and Cursor
Strong problem-solving skills and ability to navigate ambiguous technical challenges with sound judgment

Benefits

Comp & perks

Paid time off
Medical insurance
Dental insurance
Vision insurance
401(k) for eligible employees
Equal employment opportunities
Background check conducted in accordance with local legislation
Current employer will not be contacted without permission