Senior Python Engineer (ML/AI services)
Senior Python Engineer (ML/AI services)
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Job Description
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 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world. Learn how Workato helps businesses of all sizes achieve more at .
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. Thats 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
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.
Requirements
Minimum qualifications
Bachelors or Masters 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 multiagent systems; experience building chatbased agents or copilots.
Experience with opensource LLM frameworks (e.g. LangChain LlamaIndex) and vector databases.
Familiarity with metrics logging and monitoring stacks (Prometheus ELK) and observability bestpractices.
Soft Skills / Personal Characteristics
Strong written and spoken English; ability to communicate complex ideas clearly to technical and nontechnical 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.
Required Experience:
Senior IC
Employment Type
Full Time
