Lead AI Development: Own the complete lifecycle of your assigned workstream — from scoping and architecture through to production deployment and optimization
Ensure Production Reliability: Build AI systems designed to perform consistently and efficiently at scale in live environments
Align Technology with Business Goals: Collaborate with our team to translate requirements into well-architected, maintainable AI solutions
Move Fast, Stay Sharp: Hit the ground running on an active project while maintaining high code and architecture standards

Requirements

Production-Ready Experience You've shipped and maintained AI models in production settings and built systems designed for scalability and long-term maintainability.
Technical Foundation Cloud Infrastructure: AWS expertise (Lambda, EC2, DynamoDB, Amplify) strongly preferred; GCP or Azure also valued
Development: Advanced Python proficiency with clean, production-grade code
AI Integration: Practical experience with OpenAI, Google Cloud AI, Amazon Bedrock, or similar platforms
Architecture: Solid grasp of API-driven AI solutions and microservices design patterns
Professional Maturity Proven ability to break down complex problems and scope work accurately
Comfortable with Git workflows, collaborative code reviews, and technical documentation
Understanding of CI/CD pipelines for ML systems and testing strategies
Nice-to-Have Skills LangChain or comparable LLM orchestration frameworks
Automation and integration platforms: Make.com, Zapier, n8n
Background in Computer Vision and/or NLP

Benefits

Remote First — Work from wherever you're most productive.
Flexible Hours — We ask that you maintain availability between 6pm – 12am PKT for team overlap and synchronous collaboration.
Technical Project Management — Our PMs have development backgrounds. Expect clear communication, realistic timelines, and collaboration grounded in technical reality.
LLM Access — We provide access to LLM tools to help you work smarter and faster.

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonAI modelsAPI-driven solutionsmicroservices design patternsCI/CD pipelinesComputer VisionNLPLangChainAWSGCP

Soft Skills

collaborationproblem-solvingscope workprofessional maturitycode reviewstechnical documentation