Senior AI Developer

Robots & Pencils

. Design, implement, and deploy ML/AI models end-to-end, from concept through production, including data pipelines, training workflows, and optimization .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $139,750 - $188,125 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, implementing, and deploying AI/ML models, with a strong focus on production systems and generative AI development. Proficient in collaborating across teams to align AI initiatives with business objectives while maintaining high engineering standards.

Highest-signal resume keywords

AI/ML Systems DevelopmentPython ProgrammingAWS Services KnowledgeGenerative AI DevelopmentAI Safety Principles

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningAI Model DeploymentAPI DevelopmentCost OptimizationRAG Pipeline BuildingEvaluation FrameworksObservability ToolsContainerization with DockerKubernetesAI Frameworks

Soft Skills

Problem-SolvingEffective CollaborationTechnical CommunicationConstructive Feedback

Tools & Technologies

Claude CodeCursorCloud PlatformsVector DatabasesEmbedding Models

Industry Keywords

AI ArchitectureProduction SystemsTechnical TradeoffsResponsible AIPrompt Injection Defenses

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, including data pipelines, training workflows, and optimization
Maintain and evolve AI systems in production, monitoring for drift, debugging issues, and improving reliability and scalability
Use AI-forward coding tools such as Claude and Cursor to ship high-quality work
Partner with product, engineering, and data teams to align AI work with product and business goals
Translate technical tradeoffs, model behavior, and constraints into actionable terms for non-specialists
Participate in code reviews and design discussions
Contribute to AI architecture decisions and long-term technical direction
Own meaningful work end-to-end, including productionization of AI systems
Raise engineering standards and support more junior engineers

Requirements

What you’ll need

4+ years professional software engineering experience, with 2+ years focused on AI/ML systems in production and hands-on experience with generative AI development
Strong software engineering background (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
Ability to collaborate effectively, communicate technical tradeoffs to non-specialists, and provide constructive feedback