Senior Software Engineer (AI Dev Productivity)

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.

POSITION SUMMARY

As a Senior Software Engineer, you will contribute to the company-wide strategy for AI native software development, debugging, and testing. You will partner directly with engineering and product leadership to transform how hundreds of engineers work. 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. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

Translate the roadmap and architecture for integrating AI into core developer workflows. Evaluate and implement advanced architectures, including LLMs, RAG, and MCP.

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.

Design structured, agentic flows across the SDLC. This includes creating workflows for code authoring, automated test generation, incident response, and onboarding, leveraging tool use with human-in-the-loop gates.

Develop and maintain integrations with existing SaaS solutions via APIs and custom connectors. Ensure AI capabilities are intuitive and accessible to non-technical audiences, as needed.

Lead internal enablement by creating playbooks, "golden prompts," and onboarding guides.

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.

WHAT WE'RE LOOKING FOR

Bachelor’s or Master’s degree in