AI Developer Enablement Engineer

FactSet

AI Developer Enablement Engineer at FactSet designing tools for automated remediation and workflows. Collaborating with teams to integrate AI capabilities in existing processes.

Posted 7/5/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI tooling for developer platforms, integrating AI capabilities into workflows, and troubleshooting AI-assisted development issues. Proficient in Go programming and experienced in CI/CD pipelines and DevOps practices.

Highest-signal resume keywords

Proficiency In Go (Golang)AI/LLM Tooling IntegrationCI/CD Pipeline ExperienceTroubleshooting SkillsPlatform Engineering Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go (Golang)AI ToolingLLM IntegrationCI/CD PracticesDevOpsTroubleshootingSecurity RemediationDependency ManagementLegacy Code ModernizationLinux CLI

Tools & Technologies

OpenAI APIsGitHub CopilotClaude

Industry Keywords

Internal Developer Platform (IDP)Automated RemediationMigration WorkflowsBuild PracticesUpgrade Cycles

Tech Stack

Tools & technologies

GoLinux

About the role

Key responsibilities & impact

Design and build internal AI tooling that supports automated remediation and migration workflows across the developer platform
Deploy and integrate AI tools (including LLM-based assistants, code analysis agents, and CI/CD-integrated tooling) into existing developer workflows
Troubleshoot and support developers experiencing issues with AI tooling — acting as the subject matter expert for AI-assisted development
Collaborate with teams to embed AI capabilities into build practices, upgrade cycles and security patching pipelines
Measure and report on outcomes: faster upgrade cycles, reduced manual remediation effort, and cost avoidance
Continuously improve tooling based on developer feedback and usage patterns

Requirements

What you’ll need

Proficiency in **Go (Golang)**
Hands-on experience building or integrating AI/LLM tooling (e.g., Claude, OpenAI APIs, GitHub Copilot, or similar)
Comfortable in the Linux CLI or Windows
Experience of developer workflows, CI/CD pipelines, and DevOps practices
Ability to both build new tooling from scratch and configure/deploy existing AI platforms
Troubleshooting skills - comfortable being the go-to person when something breaks
Nice to Have: Experience with security remediation, dependency management, or legacy code modernization
Familiarity with platform engineering or internal developer platform (IDP) concepts.

Benefits

Comp & perks

Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
Career progression planning with dedicated time each month for learning and development.
Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.