AI Engineer (Claude Orchestration)

Role: Senior AI Engineer Claude
Location: 100% Remote USA EST
Duration: 12+ Months
Job Description

• I am looking for heavy hands-on engineers who can use Claude to code for them, but are able to code themselves. For example, if Claude is generating code for Java, React modules, my engineers should be able to review such AI-generated code and approve/reject them.
• This role works closely with other team engineers to rapidly design, implement, test, and iterate on high‑quality software. AI Orchestrators (other term we use for AI engineers) are strong engineers who use AI tools as a first‑class part of their daily engineering workflow to accelerate development, improve testing, and shorten feedback loops. This role is *NOT focused on training AI models or building machine learning pipelines.
• It focuses on building software efficiently, safely, and at high quality using AI‑assisted engineering practices. AI‑Native Software Development Build and enhance production‑grade software applications using AI‑assisted development workflows. Translate product and technical requirements into working, maintainable software. Use AI tools to accelerate coding, debugging, testing, refactoring, and documentation. Review, validate, and refine AI‑generated code to ensure correctness, performance, security, and maintainability. Application Design & Implementation Design and implement clean, well‑structured APIs, services, and application components. Contribute to scalable backend systems and full‑stack solutions as required by the team. Apply sound engineering judgment to balance speed, quality, and long‑term maintainability. Participate in design discussions and technical reviews within the team. AI Orchestration & Workflow Execution Orchestrate the effective use of AI tools across development activities, including: Code generation and refactoring Test creation and validation Debugging and issue analysis Documentation and design artifacts Follow and help refine AI‑native engineering standards established by the Tech Lead. Contribute feedback and improvements to AI‑assisted workflows and development practices. Collaboration & Team Execution Collaborate closely with the AI‑Native Tech Architect(s) to implement architectural and engineering best practices. Work effectively within a small AI‑Native team to deliver features end‑to‑end. Coordinate with adjacent teams as needed for integration, dependencies, and shared services. Communicate technical issues and tradeoffs clearly to engineering and product stakeholders.

Job Responsibilities

• This role works closely with other team engineers to rapidly design, implement, test, and iterate on high‑quality software.
• AI Orchestrators (other term we use for AI engineers) are strong engineers who use AI tools as a first‑class part of their daily engineering workflow to accelerate development, improve testing, and shorten feedback loops.
• This role is *NOT focused on training AI models or building machine learning pipelines.
• It focuses on building software efficiently, safely, and at high quality using AI‑assisted engineering practices.

AI‑Native Software Development

• Build and enhance production‑grade software applications using AI‑assisted development workflows.
• Translate product and technical requirements into working, maintainable software.
• Use AI tools to accelerate coding, debugging, testing, refactoring, and documentation.
• Review, validate, and refine AI‑generated code to ensure correctness, performance, security, and maintainability.

Application Design & Implementation

• Design and implement clean, well‑structured APIs, services, and application components.
• Contribute to scalable backend systems and full‑stack solutions as required by the team.
• Apply sound engineering judgment to balance speed, quality, and long‑term maintainability.
• Participate in design discussions and technical reviews within the team.

AI Orchestration & Workflow Execution

• Orchestrate the effective use of AI tools across development activities, including:
• Code generation and refactoring
• Test creation and validation
• Debugging and issue analysis
• Documentation and design artifacts
• Follow and help refine AI‑native engineering standards established by the Tech Lead.
• Contribute feedback and improvements to AI‑assisted workflows and development practices.

Collaboration & Team Execution

• Collaborate closely with the AI‑Native Tech Architect(s) to implement architectural and engineering best practices.
• Work effectively within a small AI‑Native team to deliver features end‑to‑end.
• Coordinate with adjacent teams as needed for integration, dependencies, and shared services.
• Communicate technical issues and tradeoffs clearly to engineering and product stakeholders.