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Senior Software Engineer (ML/AI services, Python) at Workato. . Location: Lisbon, Portugal; Porto, Portugal. About Workato. . Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.. . Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at . workato.com. .. . Why join us?. . Ultimately, Workato believes in fostering a . flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. . We are driven by . innovation . and looking for. team players . who want to actively build our company. . . But, we also believe in . balancing productivity with self-care. . That’s why we offer all of our employees a vibrant and dynamic work environment . along with a multitude of benefits. they can enjoy inside and outside of their work lives. . . 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 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.. . What you will do: . . . . 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.. . . . Qualifications. . . . Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.. . . . 5+ years of experience as a Software Engineer, with strong proficiency in Python.. . . . Proven track record of building and maintaining production-grade systems using Python.. . . . Strong understanding of distributed systems, API design, and data-driven architectures.. . . . Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).. . . . Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.. . . . Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).. . . . Preferred Skills. . . . Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).. . . . Background in developer platforms or AI infrastructure services.. . . . Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.. . . . Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.. . . . Experience developing enterprise-scale SaaS or distributed backend systems.. . . . Contributions to open-source projects in Python, AI, or infrastructure engineering.. . . . Soft Skills. . . . Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.. . . . Collaborative and proactive approach, comfortable working across teams in a dynamic environment.. . . . Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.. . Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.. . . . Tech Stack. . . . Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD. . . . 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.. . . .  . . (REQ ID: 2410)