AI Developer Enablement Engineer in India at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Developer Enablement Engineer based in India.
This role sits at the intersection of AI engineering, developer experience, and platform enablement. You’ll design and build internal AI-powered tooling that helps developers automate remediation, modernization, and migration workflows. The position combines hands-on software development with the deployment and integration of LLM-based assistants, code analysis agents, and AI-enabled CI/CD capabilities. You’ll become a trusted technical resource for developers, troubleshooting issues and helping teams adopt AI-assisted development effectively. Success will be measured through tangible improvements such as faster upgrade cycles, reduced manual effort, and lower operational costs. You’ll work collaboratively across engineering teams in an environment focused on practical AI adoption, continuous improvement, and developer productivity.
- Design, develop, and maintain internal AI-powered tooling that supports automated remediation, migration, and modernization workflows across developer platforms.
- Build and integrate AI solutions, including LLM-based assistants, code analysis agents, and AI-enabled tools within existing developer workflows.
- Integrate AI capabilities into build processes, upgrade cycles, security patching workflows, and CI/CD pipelines.
- Serve as a subject matter expert and first point of support for developers encountering issues with AI-enabled development tools.
- Troubleshoot technical issues across AI tooling, developer workflows, and supporting infrastructure, providing timely and practical solutions.
- Collaborate with engineering teams to identify opportunities where AI can improve development efficiency, automation, and software maintenance.
- Build new tools from the ground up while also configuring, deploying, and optimizing existing AI platforms and services.
- Monitor adoption and measure the business and engineering impact of AI initiatives, including faster upgrades, reduced remediation effort, and cost avoidance.
- Gather developer feedback and analyze usage patterns to continuously improve internal tooling, usability, reliability, and effectiveness.
- Contribute to a culture of experimentation and knowledge sharing around AI-assisted software development.
- Strong proficiency in Go (Golang) and the ability to build reliable production-quality tooling.
- Hands-on experience building, integrating, or deploying AI/LLM-powered tools, such as solutions using OpenAI APIs, Claude, GitHub Copilot, or comparable technologies.
- Practical understanding of developer workflows, CI/CD pipelines, DevOps practices, and software development processes.
- Comfortable working with Linux CLI and/or Windows-based development environments.
- Ability to design and build new tooling from scratch as well as configure and deploy existing AI platforms and developer tools.
- Strong troubleshooting and problem-solving skills, with the confidence to act as a go-to technical resource when systems or tools fail.
- Ability to collaborate effectively with developers, platform teams, and other technical stakeholders.
- Strong communication skills and an ability to explain technical concepts clearly to different audiences.
- Experience with security remediation, dependency management, or legacy code modernization is a plus.
- Familiarity with platform engineering and internal developer platform (IDP) concepts is desirable.
- A practical, curious mindset and enthusiasm for applying emerging AI technologies to real-world engineering challenges.
- Full-time opportunity with flexible location options across India, including remote work.
- Comprehensive health, life, and disability insurance coverage.
- Retirement savings plans and access to a discounted employee stock purchase program.
- Paid time off, holidays, family leave, and company-wide wellness days.
- Flexible work arrangements designed to support work-life harmony.
- Dedicated time and resources for learning, professional development, and career progression.
- Opportunities to work with cutting-edge AI technologies and influence developer productivity at scale.
- Access to Business Resource Groups that support connection, professional growth, and belonging.
- Opportunities to participate in global volunteerism and sustainability initiatives.
- Compensation determined based on factors including education, professional experience, and certifications.