Senior Python Engineer

Summary

Join Workato as a Senior Software Engineer and build new ML/AI services for our EMEA team. Collaborate with product and engineering teams to create scalable and intuitive services. Design, build, and enhance AI services and APIs using LLMs and custom ML models. Develop well-architected, testable, and efficient Python code. Implement and improve validation, monitoring, and observability for production solutions. Drive the full development lifecycle, from ideation to continuous improvement. Continuously evaluate and optimize existing implementations. Identify and resolve technical challenges. Conduct code reviews and mentor team members. Workato offers a flexible, trust-oriented culture and a multitude of benefits.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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