Engineering Coach - AI-Native Software Engineer & Agentic Development
This role involves coaching client engineering teams in the United States on adopting AI-native software engineering practices and agentic development workflows using tools like Claude Code and GitHub Copilot. The Engineering Coach will facilitate workshops, improve engineering productivity, and drive the integration of AI-enabled development practices such as spec-driven development, AI-assisted testing, and modern DevOps methodologies. The position requires hands-on experience with AI-powered engineering tools and a strong ability to mentor and enable engineering teams to enhance software delivery quality and speed.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Confidential Client is seeking an experienced, hands-on Engineering Coach to partner with client engineering teams and accelerate adoption of AI-native, agentic software engineering practices. This is a client-facing, full-time role for practitioners who actively use AI coding assistants and agent platforms to improve developer productivity, code quality, and delivery speed.
What You’ll Do
You will coach engineering teams on building and operating AI agents and AI-enabled workflows, lead workshops and capability-building programs, and help integrate AI into everyday software development practices.
- Coach engineers and engineering leaders on AI-enabled development practices and agentic engineering workflows.
- Facilitate workshops, run hands-on labs, and perform code reviews that incorporate AI-assisted tooling.
- Help teams design and configure agents and skills for coding workflows (e.g., spec-driven development, Plan Mode).
- Drive adoption of AI-assisted testing, AI-assisted code review, and best practices for reviewing AI-generated documentation.
- Partner with platform and DevEx teams to incorporate AI tools into CI/CD and developer toolchains.
- Define repeatable, measurable AI-enabled engineering workflows that increase velocity and quality.
Agentic & AI‑Native Engineering
You will teach and demonstrate practical use of agent platforms and developer-facing AI tooling:
- Build, configure, and evaluate agents and skills for coding tasks.
- Integrate Claude Code, Cursor, Devin-like platforms, GitHub Copilot, and VS Code AI tooling into developer workflows.
- Implement AI-enabled testing and validation practices to maintain reliability and safety.
- Establish guardrails and review processes for AI-generated code and documentation.
Modern Software Development & Platform Practices
Drive engineering excellence and modern workflows across client teams:
- Promote cloud-native development patterns and platform engineering practices.
- Improve CI/CD pipelines, DevOps practices, and developer experience (DevEx).
- Collaborate with engineering leadership to align AI adoption with architecture and delivery goals.
Required Qualifications
- 8+ years of software engineering experience with recent, hands-on practice using AI tools and agentic workflows.
- Demonstrated practitioner experience as a Senior/Lead/Principal Engineer, Architect, or Engineering Manager.
- Strong fundamentals in programming, data structures, algorithms, software design, and system architecture.
- Proven experience using AI coding assistants and agent platforms in production or client-facing environments (examples: Claude Code, GitHub Copilot, Cursor, Devin, VS Code AI tooling).
- Strong communication, coaching, and facilitation skills; experience running workshops and technical enablement.
Preferred / Nice-to-Have
- Track record of measurable productivity or quality improvements after AI adoption.
- Experience with developer platform work, CI/CD automation, and DevOps practices.
- Experience running client-facing engagements or internal enablement programs.
Success Profile
The strongest candidates will be:
- Practitioner-first — actively using AI tools and agents in daily engineering work.
- Able to demonstrate concrete examples of agentic workflows implemented and productivity gains realized.
- Skilled at teaching and enabling teams — able to translate AI capabilities into repeatable engineering practices.
Compensation
Confidential Client has indicated a base salary range in the source posting. The role is listed with a base salary range of approximately $150,000–$180,000 per year. Exact compensation and benefits will be provided by Confidential Client during the interview process and may vary by experience and location.
Employment Details
- Employment type: Full‑time
- Location: This listing is for New York, NY (client-facing).
- This role is client-facing and will be employed directly by Confidential Client through the Careertakes process.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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