Senior AIML Engineer
Senior AIML Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
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 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 .
Why join us
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
Responsibilities
We are looking for an experienced and exceptional Senior AI/ML Engineer to join our growing team. In this role you will be involved in the design development and optimization of AI and Machine Learning solutions that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems.
As part of this role you will:
Design and implement advanced AI/ML systems with a focus on LLMs embeddings and retrievalaugmented generation (RAG) architectures.
Develop and optimize information retrieval solutions including vector databases semantic search and knowledge graph implementations.
Build productiongrade AI pipelines for data processing model training finetuning and serving at scale.
Create and maintain graphbased knowledge systems that enhance LLM capabilities through structured relationship data.
Implement and optimize hybrid RAG architectures combining traditional search vector embeddings and knowledge graphs.
Lead technical initiatives for AI system integration into existing products and services.
Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.
Requirements
Qualifications / Experience / Technical Skills
Bachelors degree in Computer Scienceor a related field or equivalent practical experience.
5 years in backend software development using modern programming languages (e.g. Python (strongly preferred! Golang or Java).
Demonstrated experience building production systems with LLMs (OpenAI Anthropic opensource models) including prompt engineering and finetuning.
Indepth knowledge of vector databases and embedding models for semantic search and retrieval.
Experience implementing RAG architectures with various retrieval strategies (sparse dense hybrid) and context optimization techniques.
Proficiency with knowledge graph technologies (Neo4j Neptune or similar) and graphbased information retrieval.
Strong background in information retrieval systems including BM25 TFIDF and modern neural search approaches.
Experience with AI/ML infrastructure including containerization orchestration and scaling of model inference.
Expertise in cloud platforms AI offerings (AWS Bedrock Azure OpenAI Vertex AI) and their integration patterns.
Familiarity with model optimization techniques including quantization distillation and efficient serving strategies.
Experience with streaming data processing for realtime AI applications using technologies like Kafka Kinesis or similar.
Proficiency with AI observability and evaluation tools for tracking model performance drift and quality.
Demonstrated ability to balance technical innovation with production reliability when implementing cuttingedge AI systems.
Soft Skills / Personal Characteristics
Strong communication abilities to explain technical concepts
Collaborative mindset for crossfunctional team work
Detailoriented with strong focus on quality
Selfmotivated and able to work independently
Passion for solving complex search problems
(REQ ID: 2007
Required Experience:
Senior IC
Employment Type
Full Time
