Engineering Coach - AI-Native Software Engineer & Agentic Development

Role: Engineering Coach - AI-Native Software Engineer & Agentic Development

Location: United States (Client-Facing) | New York CityExperience: 8+ YearsRole in short: Seeking hands-on Engineers who can actively coach client engineering teams on using and building AI agents in tools like Claude Code, Cursor, and Devin, modern AI-enabled workflows, and adopting AI-native product development and software engineering practices at scale.Role SummaryWe are seeking experienced Engineers to help coach client engineering teams on running agents and skills and adopting AI-enabled software development practices and modern engineering workflows.This is not an executive advisory role.

Candidates must have current, practical experience using AI-powered software engineering tools and argentic development workflows.Key ResponsibilitiesEngineering Team CoachingCoach engineers on AI-enabled development practices.Improve engineering productivity, quality, and delivery speed.Facilitate engineering workshops, code reviews, and capability-building programs.Agentic Software EngineeringCoach teams on:Spec-driven developmentPlan Mode workflowsBuilding and configuring agents and skills for coding workflowBest practices to review AI-generated documentationAI-enabled testingAI-assisted code reviewsModern Software DevelopmentDrive adoption of modern engineering practices including:Cloud-native developmentCI/CDDevOpsPlatform EngineeringEngineering ExcellenceDeveloper Experience (DevEx)Capability DevelopmentTrain engineers on effective use of AI coding assistants and engineering agents.Develop repeatable AI-enabled engineering workflows.Help teams integrate AI into daily software development activities.Required Qualifications8+ years of agentic software engineering experience.Strong foundation in:Agentic Software DevelopmentProgramming LanguagesData StructuresAlgorithmsSoftware DesignSystem ArchitecturePrevious experience as:Senior Software EngineerLead EngineerPrincipal EngineerArchitectEngineering ManagerEngineering LeadAI & Engineering ExperienceDemonstrated hands-on experience with:Claude CodeGitHub CopilotCursorVS Code AI ToolingDevin or similar agent platformsAI-assisted development environmentsSuccess ProfileCandidates should be able to demonstrate:Real-world use of AI coding assistants in production environments.Experience implementing agentic engineering workflows.Examples of productivity gains achieved through AI adoption.Ability to coach engineering teams on using agents and AI-native development practices.Experience improving development speed, quality, and team effectiveness through AI-enabled workflows.Shared Evaluation Criteria for Both RolesThe strongest candidates will demonstrate:Practitioner FirstActive daily use of AI tools and agents.Real experience applying AI to product development or software engineering.Coach MindsetAbility to teach, mentor, and enable teams.Strong communication and facilitation skills.AI-Native Ways of WorkingUnderstanding of how AI is changing product management and software engineering.Experience redesigning workflows using AI agents and automation.