Staff Software Engineer (Backend & AI/ML)

As a Staff Software Engineer – Backend AI, you will play a pivotal role in designing and developing scalable, intelligent, and user-centric applications that integrate AI/ML capabilities into real-world logistics solutions. You’ll work at the intersection of data science and product engineering, contributing to strategic technical decisions and mentoring teams to build robust, high-performing systems.

What You’ll Do

• Design, develop, and deploy end-to-end fullstack applications — backend (Java, Python, Ruby, etc) and frontend (React/Angular).
• Lead technical architecture and system design for complex, AI/ML- enabled product features.
• Build high-availability microservices and data pipelines with clean, maintainable code.
• Partner with Product, UX, and Engineering leadership to align on technical feasibility, scalability, and product vision.
• Ensure quality, security, and performance through code reviews, testing strategies, and CI/CD automation.
• Mentor junior engineers and contribute to a strong engineering culture and demonstrate continuous improvements to Quality and Productivity making use of AI Tools (LLM, MCP, Agentic AI, etc.) as appropriate.
• Champion the Software Development Lifecycle (SDLC) to AI-DLC transition at FourKites.

What You’ll Bring

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience: 8 -12 yrs years of software development experience with a strong foundation in fullstack engineering and distributed systems.
• Proficient in backend technologies like Java, Ruby, Python, etc.
• Hands-on experience with AI tools like LLM, MCP, Agentic AI, etc. to release Production grade and Customer facing capabilities.
• Experience building scalable solutions on cloud platforms (AWS, GCP, or Azure).
• Strong knowledge of RESTful APIs, microservices, and event-driven architectures (Kafka, etc.).
• Experience with DevOps practices, CI/CD, Docker, Kubernetes, and infrastructure automation.
• Ability to work in cross-functional, agile teams across global time zones.
• Strong communication, leadership, and decision-making skills.

Nice to Have

• Domain knowledge in logistics, supply chain, or transportation systems.
• Machine Learning Experience — understanding of model integration, versioning, inference performance, and lifecycle management.
• Familiarity with MLOps tools like MLflow, SageMaker, TensorFlow Serving, or similar.
• Exposure to real-time data processing frameworks (e.g., Apache Spark, Flink).
• Contributions to open-source projects or technical blogs.
• Front end and Mobile development stack.

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 — helping 1,600+ global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration.

Working at FourKites

We provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe, including:

• 5 global recharge days, in addition to standard holidays, and a hybrid, flexible approach to work.
• Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others.
• Opportunities throughout the year to learn and celebrate diversity.
• Access to leading AI tools and foundation models, with the freedom to experiment and find creative ways to be more effective in your role

And we're always listening for new ways to support everyone in and out of the office.