Senior Python Engineer (ML/AI services)

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

• Business Insider

  named us an “enterprise startup to bet your career on”

• Forbes’ Cloud 100

  recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500

  ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

• Quartz

  ranked us the #1 best company for remote workers

Responsibilities

We are seeking an exceptional Senior Software Engineer to join our EMEA team and build new ML/AI services. You will collaborate closely with product and engineering to create scalable and intuitive services. This role requires a high technical standard.

• Design, build, and enhance AI services and APIs powering our Workato products, leveraging LLMs and custom ML models.

• Develop well-architected, testable, and efficient Python code production services and experimentations.

• Implement and improve validation, monitoring, and observability for production-grade solutions.

• Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.

• Continuously evaluate and optimize existing implementations for performance, scalability, and usability.

• Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment.

• Conduct code reviews and mentor team members to uphold high engineering standards.

• Production deployment & integration. Create and maintain APIs and microservices for model serving; build and maintain middleware layers integrating LLMs with existing systems.

• • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.

  • 5+ years of experience as an ML Engineer, Data Scientist, or similar role.

  • Strong Python programming skills and hands-on experience with NLP and LLM models.

  • Proven track record of deploying and maintaining ML services in production environments.

  • Solid understanding of network protocols, API design.

  • Experience with relational and non-relational databases.

  • LLMops/MLops experience is a strong plus.

  • Experience building or supporting developer platforms, APIs is highly desirable. 

• Knowledge of agentic architectures and multi‑agent systems; experience building chat‑based agents or copilots.

• Experience with open‑source LLM frameworks (e.g., LangChain, LlamaIndex) and vector databases.

• Familiarity with metrics logging and monitoring stacks (Prometheus, ELK), and observability best‑practices.

• Strong written and spoken English; ability to communicate complex ideas clearly to technical and non‑technical stakeholders.

• Collaborative team player who takes initiative and thrives in a dynamic startup environment.

• Adaptable mindset with willingness to switch tools or languages when needed.

• Analytical thinker with a focus on continuous improvement and innovation.