Workday's acquisition of Flowise aims to simplify the creation of AI solutions by providing customers with an easy-to-use platform to quickly and responsibly build and deploy AI agents for HR and finance. This partnership also empowers partners to build faster, expand their offerings, and deliver quicker value to shared customers.
Requirements
- 8+ years of experience in software engineering, with a focus on large-scale applications.
- 6+ years of hands-on experience with our core stack: JavaScript/TypeScript, Node, React, Express, Turbo (Flowise is a monorepo)
- 5+ years of experience with RDBMS databases, cloud services, and CI/CD tools.
- Practical experience with large language models (LLMs), Retrieval Augmented Generation (RAG) systems, and best practices.
- Demonstrated proficiency in building and consuming external APIs, integrating with third-party services, and designing large-scale distributed systems.
- Experience with message queuing technologies like RabbitMQ, BullMQ, Kafka, or SQS is highly desirable.
- Hands-on experience building and operating SaaS products in cloud environments (AWS preferred), with a strong understanding of modern software development practices, including automated testing and observability.
Responsibilities
- Architect and Innovate: Make Flowise the best visual low-code tool for building AI agents. You will serve as an architect for our platform, helping align features and syncing our open-source, cloud, and enterprise versions. This includes leveraging your expertise in AI frameworks, evals, and benchmarking to ensure a robust, high-quality product.
- Mentor and Lead: Provide technical leadership and mentorship to a team of ML engineers, fostering a culture of innovation and teamwork. You will guide and teach your counterparts how to effectively utilize your solutions and architectural designs.
- Collaborate and Strategize: Partner with product managers and engineering teams to define product roadmaps and ensure the successful integration of AI solutions. You'll be a central player in translating groundbreaking ideas into real-world impact.
- Stay Ahead of the Curve: Keep yourself informed of the latest advancements in AI, identifying and evaluating new technologies for potential adoption to keep our platform on the cutting edge.
- Building and consuming external APIs
- Integrating with third-party services
- Designing large-scale distributed systems
Other
- Provide technical leadership and mentorship to a team of ML engineers, fostering a culture of innovation and teamwork.
- Partner with product managers and engineering teams to define product roadmaps and ensure the successful integration of AI solutions.
- Proven ability to participate in on-call rotations and effectively troubleshoot and resolve complex production issues.
- Experience leading software development projects through all phases, from initial design to post-production release.
- You have a proven ability to operate effectively within fast-paced, cross-functional, and Agile teams.
