Vacancy description
EarnIn
India, Bengaluru
Senior Software & AI Engineer in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We're growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
As a Senior Software Engineer, you will contribute to the company-wide strategy for AI native software development, debugging, and testing. You will move beyond simple tool adoption to design structured, agentic workflows that accelerate productivity and improve software quality through responsible AI integration.
You will join the Developer Productivity team within the Platform Engineering org. Our mission is to empower our engineers to ship high-quality products with confidence and high velocity. You'll help transform the software development lifecycle (SDLC) by embedding cutting-edge AI into the core of how we build, test, and ship software. This position will be hybrid, based in our Bengaluru office, as part of our expanding site. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Translate the roadmap and architecture for integrating AI into core developer workflows. Build and maintain AI-augmented developer tools across our ecosystem (IDE/CLI, GitHub, Slack, Atlassian, and internal IDP) to reduce manual effort and cycle time.
This includes creating workflows for code authoring, automated test generation, incident response, and onboarding, leveraging tool use with human-in-the-loop gates.
Ensure AI capabilities are intuitive and accessible to non-technical audiences, as needed.
Collaborate with 'AI champions' across teams to foster an AI-native engineering culture.
Drive measurable outcomes through data-driven experiments—track PR velocity, cycle time, and quality.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
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