Senior Software Engineer (AI Dev Productivity)

Overview

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 Computer Science, Software Engineering, or related field (or equivalent practical experience).
• 4+ years of software development experience, with a specific focus on developer productivity and efficiency. Fluency in at least one of the following languages: Python or Go.
• Strong background in software engineering with experience building internal tools, developer platforms, or complex integrations.
• Familiarity with structured/agentic AI workflow frameworks, LLMs, RAG architectures, and the MCP.
• Experience working with developer APIs and platforms, including GitHub, Atlassian (Jira/Confluence), Slack, and Cortex.
• Ability to evaluate LLM output quality using techniques like human-in-the-loop feedback, rubric scoring, and golden datasets.
• Demonstrated ability to lead technical strategy and influence stakeholders.
• Strong communication skills and the ability to work effectively in a geographically distributed team environment.

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