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Mid-level popular engineering title, metro location, and generalist tooling remit increase applicant competition.
Skills transfer across industries but require software engineering and AI/tooling experience, limiting some applicants.
Explicit 5-8 years plus mandatory hands-on AI/LLM, coding, and CI/CD requirements create strict filters.
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Own and build horizontal tooling and workflow automation to improve efficiency across multiple teams and functions.
Partner with stakeholders to identify friction points and design AI/LLM-powered tools and integrations to automate manual and recurring workflows.
Balance prioritization of automation requests, deliver well-tested solutions with minimal hand-holding, and document designs for technical and non-technical audiences.
5-8 years of professional software engineering experience with a focus on internal tools, workflow automation, or cross-functional platforms impacting multiple teams beyond engineering.
Hands-on coding proficiency in at least one modern language (Ruby, Python, Go, TypeScript/Node, or similar).
Practical, hands-on experience building solutions using AI/LLM tools or APIs (not just casual usage).
Legal right to work in India without sponsorship; role requires significant in-office presence for a standard 40-hour workweek.
Experienced at independently identifying workflow inefficiencies and delivering end-to-end automation solutions across diverse business domains.
Comfortable working under ambiguity, quickly understanding new team workflows to build relevant technical plans and integrations.
Strong engineering judgment balanced with the ability to communicate trade-offs to both technical and non-technical stakeholders effectively.