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You will be updated with latest job alerts via emailWorkato 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 AIpowered platform enables teams to navigate complex workflows in realtime 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 fastchanging world. Learn how Workato helps businesses of all sizes achieve more at workato.
Ultimately Workato believes in fostering a flexible trustoriented 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 selfcare. 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
We are looking for an exceptional AI/ML Engineer to join our growing team. Your primary focus will be on developing and maintaining sophisticated AI agents and generative AI applications. While the core of the role is backend AI development experience with fullstack technologies will be a plus.
In this role you will also be responsible to:
Design and build scalable reliable AI agents and generative AI systems using Python and modern LLM frameworks.
Create and optimize APIs (REST/GraphQL) to integrate AI capabilities with various enterprise systems and LLM providers.
Design and manage data pipelines and vector databases to support complex AI application requirements.
Utilize cloud technologies and containerization tools like Docker and Kubernetes to ensure scalable and efficient AI infrastructure.
Bachelors degree in Computer Science or a related field or equivalent practical experience.
3 years in backend software development using modern programming languages (e.g. Python (strongly preferred! Golang or Java).
2 years in ML/AI development with strong proficiency in Python.
Experience with LLM frameworks vector databases and API development.
Experience with prompt engineering and AI agent architectures.
Knowledge of RAG (Retrieval Augmented Generation) patterns.
Familiarity with both SQL and NoSQL databases.
Understanding of distributed systems microservices architecture and cloudnative development principles.
Experience with cloud platforms (AWS GCP Azure) and containerization (Docker Kubernetes or similar tools).
Familiarity with any search engine technology is a plus (Elasticsearch Solr or similar).
Strong analytical and problemsolving skills attention to detail and the ability to work independently and collaboratively.
Strong communication abilities to explain technical concepts.
Collaborative mindset for crossfunctional teamwork.
Detailoriented with a strong focus on quality.
Selfmotivated and able to work independently.
Passion for solving complex problems.
Full Time