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Tier-1 brand, remote role, and metro Bengaluru location increase candidate density.
ML/NLP skills transfer across industries, though agentic developer-tooling context adds some domain specificity.
No explicit years but specialized ML/LLM production experience and language/distributed-systems skills are required.
Develop and deploy autonomous AI-driven software development lifecycle features to support GitLab engineering teams and product roadmap.
Lead technical execution, including building robust, secure, and performant AI solutions with high-quality code and reliable systems.
Collaborate cross-functionally with Product Managers, engineers, and AI/ML teams; mentor engineers; maintain safety guardrails and participate in incident response for AI services.
Experience building and shipping production-grade software applications; transferable engineering experience applicable.
Proficiency in modern programming languages (Ruby, Go, or Python) and working with distributed systems.
Experience applying AI/ML APIs, large language models, or agentic frameworks in web development contexts.
Work Experience Required: Not explicitly mentioned in the JD.
Senior engineer comfortable leading technical projects involving AI-driven automation within software development lifecycle.
Experience collaborating closely with cross-functional teams including AI/ML specialists and product management to translate complex requirements into operational software.
Strong focus on building maintainable, secure, performant code and mentoring junior engineers in AI and automation patterns.