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Tier-1 brand and Bangalore location increase applicant competition despite seniority and niche GenAI focus.
Strong fullstack and AWS skills transfer well, but GenAI platform and automotive context increase domain specificity.
12+ years requirement plus mandatory AWS, fullstack tech stack and leadership experience make filters strict.
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Own the full software lifecycle of the Daimler Truck LibreChat platform including feature development, maintenance, and bug fixing as software lead.
Ensure platform stability and security collaborating with the Infrastructure Lead while continuously improving the platform aligned to business needs.
Design, implement, and optimize Daimler Truck–specific front-end and back-end features, and contribute improvements back to the LibreChat open-source project.
12+ years of fullstack development experience using AWS Cloud Infrastructure (Lambda, ECS, etc.), EntraID, Docker, JavaScript/TypeScript, React, and Python.
Experience maintaining and improving production-grade applications.
Experience in contributing to open-source projects.
Work Experience Required: 12+ years fullstack development
Experienced software leader with end-to-end ownership of complex, production-grade fullstack applications on AWS Cloud.
Knowledgeable in GenAI technologies and usage of large language models (LLMs) for feature optimization is advantageous.
Collaborates effectively with product and infrastructure teams to translate business needs into scalable technical solutions and open-source contributions.