Senior Software Engineer (MLAI services) - Workato - Etätyö - Globaali

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to: Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models. Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents. Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch. Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools. Build and maintain shared Python libraries and SDKs used across multiple applications and microservices. Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform. Develop and enhance monitoring, validation, and observability for production-grade AI solutions. Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement. Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments. Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence. Example Projects Building an evaluation and observability framework for AI model performance and reliability. Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools. Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases. Designing AI services that process and reason over high-volume real-world data at scale.