What you will do:
- Design and build reusable platform capabilities supporting LLM applications, AI agents, RAG, tool calling, and AI workflows.
- Develop scalable data and knowledge pipelines covering ingestion, embeddings, retrieval, vector search, metadata, and knowledge management.
- Build secure integrations between AI applications, enterprise data, and business systems using APIs, MCP, and comparable patterns.
What you bring:
- 5+ years of experience in data engineering, platform engineering, or backend engineering with production systems.
- Strong proficiency in Python and SQL, with hands-on experience deploying LLM and generative AI applications.
- Solid data engineering fundamentals and experience with modern data platforms like Snowflake or Databricks.
Why apply:
- Fully remote work environment with flexibility to work from anywhere within permitted locations.
- Approximately 40 days of paid time off per year and flexible parental leave with at least three months paid.
- Opportunity to work on foundational AI infrastructure and influence AI development at scale.
Jobgether
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.