Senior Software Engineer - AI Assistant

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace.

Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We’re backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank.

Position Summary

We're thrilled to invite passionate backend engineers to join our dynamic product team within the AI Developer Assistant product division. As we continue to expand our cutting-edge Generative AI and machine learning product, your role will be pivotal in driving its growth and evolution. Join us in shaping the future of AI-driven innovation in software delivery, where endless opportunities for professional development and impact await.

You’ll join the AI QA Assistant engineering team, focusing on end-to-end testing of web applications. The team is developing a Generative AI-powered agent that uses natural language to automate key aspects of developers’ daily tasks. This agent will generate test cases, write and maintain automation tests, and significantly reduce the burden on developers, managers, and QA teams.

About The Role

• Driving end to end, design and implementation of features
• Design, develop, and maintain integrations with multiple AI and cloud systems like Google Vertex AI, Azure, AWS and OpenAI
• Build Gen AI based Agentic architecture for a first class AI enabled user experience
• Use Prompt engineering techniques to leverage the best LLM models
• Collaborate with product management, engineering teams and Machine learning engineers for requirements through to delivery
• Design and implement scalable AI services