Staff Software Engineer - AI

FourKites
Chennai or Remote, IndiaPosted 7 April 2026

Job Description

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity As a Staff Software Engineer, you will have the opportunity to work on challenging and impactful problems in the logistics and supply chain industry. You will be responsible for designing, developing, and delivering features that help our customers track and manage their shipments in real time. You will develop cutting-edge products that can change the logistics landscape globally and will be used by many of the biggest corporations in the world. You will work closely with a team of talented engineers and product managers to build and improve our platform. You will also have the opportunity to mentor and coach junior engineers, and to contribute to the overall architecture and design of our system. What you'll be doing: Develop, test and maintain backend applications Write clean, efficient, and well-documented code Design and implement data models and database schemas Collaborate with the frontend team to integrate the backend with the user interface Perform code reviews and ensure code quality standards are met Troubleshoot and debug applications Implement code with very high coverage of unit tests and component tests Cross-training peers and mentoring teammates Work with the DevOps team to deploy and manage applications in production Continuously learn and stay up-to-date with new technologies and industry trends Who you are: Experience working on Applied AI/ Agentic AI projects is a must Design, architect, implement, test, profile, release, and optimize highest quality software/services Strong understanding of Object-oriented programming principles Good knowledge of Java + Spring, GoLang, Ruby on Rails Experience in Cloud: Azure and Amazon Web Services Experience with databases such as PostgreSQL, or MongoDB Familiarity with front-end technologies such as HTML, CSS, and JavaScript Good knowledge of RESTful APIs and microservices architecture Excellent problem-solving and analytical skills Ability to work independently and in a team environment Possess expert knowledge in performance, security, scalability, architecture, and best practices Strong knowledge of Git (branches, submodules, rebasing) and other Agile tools such as JIRA Confluence. Agile SDLC experience. Excellent oral and written communication skills Impact Growth You'll directly contribute to AI initiatives generating millions in revenue while shaping systems processing millions of transactions daily. Lead technical decisions affecting 25+ engineers while mentoring the next generation of AI engineers. Be at the forefront of production AI optimization, balancing performance, cost, and latency for enterprise customers. We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out! Who we are: FourKites®, the leader in AI-driven supply chain transformation for global enterprises and pioneer of advanced real-time visibility, turns supply chain data into automated action. FourKites’ Intelligent Control Tower™ breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks, and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily — from purchase orders to final delivery ... (truncated, view full listing at source)
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