Senior Python Engineer (ml/ai Services)

Senior Python Engineer (ML/AI Services)

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.

Responsibilities include:

• 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.

Requirements:

Minimum qualifications

• 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.

Preferred skills

• 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.

Soft Skills / Personal Characteristics:

• 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.