The Role
Design and maintain scalable ETL pipelines and serverless microservices, build vector database and knowledge-graph solutions, implement RAG pipelines, and integrate LLM capabilities using Azure AI Services.
Summary Generated by Built In
Job Description
- evelop and maintain scalable ETL pipelines for structured and unstructured data
- Design and implement serverless microservices using cloud native patterns
- Build and optimize data solutions using vector databases and knowledge graphs
- Collaborate with ML engineers to integrate large language model capabilities into production systems
- Implement retrieval augmented generation pipelines for advanced AI use cases
- Work with Azure AI Services to deliver reliable and scalable solutions
- Experience in Python development for backend or data engineering tasks
- Hands on experience with ETL pipeline design and implementation
- Familiarity with Azure infrastructure and cloud native services
- Understanding of microservices architecture and serverless computing
- Experience working with vector databases and data indexing solutions
Skills Required
- Experience in Python development for backend or data engineering tasks
- Hands on experience with ETL pipeline design and implementation
- Familiarity with Azure infrastructure and cloud native services
- Understanding of microservices architecture and serverless computing
- Experience working with vector databases and data indexing solutions
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Increasingly helps retailers drive basket revenue and happier customers. The AI platform intelligently sells bundles and collections on-site, in-store, and in Google Shopping and Facebook ads. Typically growing AOV by +30%. Inspired by Amazons famous 'frequently bought together' feature, we create frictionless shopping experiences and bring Amazon-like precision to the rest of eCommerce.We believe in giving customers a super-convenient, hyper-relevant, online experience!
