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eGain (NASDAQ: EGAN) is the global leader in AI knowledge management platforms for enterprise customer engagement. Trusted by the world’s most customer-centric companies, eGain’s platform combines the power of generative AI with structured, curated enterprise knowledge to deliver accurate, consistent, and compliant answers across every customer touchpoint.

eGain’s customer base is anchored in large enterprises. Our AI Knowledge Hub, AI Agent, Composer, and Evaluator products are deployed in mission-critical environments where accuracy, governance, and scale are non‑negotiable. The Principal Software Engineer role exists to help us continue raising the engineering bar on those products — and to lead the way in how we build software in the AI era.

Software engineering is undergoing the largest shift in a generation. AI coding assistants, agent‑based development workflows, and automated testing and review tools are changing how the best teams design, build, ship, and support production systems. eGain is investing decisively in that future — both in the AI products we sell and in how we engineer them.

This role exists to anchor that investment on the engineering side. As a Principal Software Engineer in our Engineering team, you will architect and build AI‑powered services that ship to some of the world’s largest enterprises, set the technical patterns the rest of the org builds on, and lead the adoption of AI‑assisted development workflows across the team. It is a hands‑on senior individual contributor role with broad technical influence.

• Own the end‑to‑end design of AI‑powered software tools, services, and applications across the eGain product portfolio
• Define the API, caching, and micro‑service patterns that the broader engineering organization builds on
• Lead architecture and design reviews for high‑impact features and subsystems, balancing customer urgency with long‑term maintainability
• Participate hands‑on in coding, debugging, performance optimization, and production issue resolution
• Own the quality, performance, and reliability of the application surfaces you build — including on‑call support and root‑cause analysis for critical issues

• Leverage AI‑powered engineering tools, coding assistants, and agent‑based development workflows across the full software lifecycle — development, testing, debugging, code reviews, and documentation generation
• Identify, evaluate, and roll out open‑source and AI‑assisted tooling that meaningfully improves engineering productivity and software quality
• Establish guardrails, evaluation practices, and review standards for AI‑assisted code so we move fast without compromising on quality or security

• Mentor Senior and Software Engineer II‑level engineers through design reviews, code reviews, and pairing
• Partner with cross‑functional teams to deliver features from concept through release
• Represent Engineering in cross‑functional forums, enterprise architecture discussions, and customer escalations

• Master’s degree in Engineering, Computer Science, or a related field from a top‑tier university
• 7 to 10 years of hands‑on software engineering experience building modern, large‑scale distributed applications with cloud‑native architecture
• Strong experience with microservices architecture, APIs, caching technologies, and scalable application design
• 3 to 5 years of experience using open‑source, AI‑assisted engineering tools and development workflows in real‑world, production‑scale environments
• Demonstrated track record of leading complex technical work end-to-end and influencing peers without formal authority
• Production ownership experience — you have been on‑call for systems you designed and you understand what it takes to run them reliably

• Market leadership in AI knowledge management — a category that is mission‑critical for the world’s largest enterprises navigating AI adoption
• AI at enterprise scale — your code will ship to Fortune 500 customers in regulated industries, not lab demos
• Engineering culture that takes craft seriously — clean architecture, thoughtful reviews, and AI‑assisted workflows as a first‑class part of how we work
• Senior IC seat with direct line to engineering leadership and meaningful influence on technical direction
• Profitable, publicly traded SaaS company (NASDAQ: EGAN) with the AI ambition of a startup and the engineering discipline of a company that has been doing this for two decades

• The salary is $200,000 per year.
• Stock options.

Please note that the compensation package can vary based on the candidate’s qualifications and experience level.