Software Engineer

You will join the R&D team building the next generation of our AI-powered metadata and context management. This system is the backbone that enables instant, actionable answers via our MCP and agentic use cases by translating complex business questions into secure, cost-aware data queries.

This is a high-impact, data-intensive role requiring production-grade backend development expertise, focused on quality, governance, and low-latency retrieval across complex data sources.

What youll do:
This role focuses on the end-to-end backend development and engineering quality for our core AI retrieval plane:
Design and Scale Context Retrieval: Develop and deploy services for our hybrid RAG/GraphRAG systems, combining lexical and vector search on data from various sources.
Implement Governance Gates: Build mission-critical backend logic to enforce data security policies, ensuring customer data and internal business data are filtered, masked, or isolated based on policy tags before context is

דרישות:

What you have
Primary Language: 4+ years of hands-on experience developing and deploying production-grade services at scale.
Data & Backend Excellence: Proven experience with large-scale distributed systems, and familiarity with large-scale production databases and data flow principles.
Search & Information Retrieval Expertise: Strong hands-on experience with search engines, vector indexing, and designing a hybrid retrieval mechanism.
Cloud Data Fluency: Experience with BigQuery and familiarity with general cloud platforms (AWS/GCP) for deploying data-intensive applications.
Quality Mindset: A strong commitment to quality engineering, test automation, and an ability to drive product excellence through data-driven decisions.
Bonus points.
Familiarity with metadata frameworks  (DataHub, OpenMetadata, DataPlex, etc).
Passionate about building or integrating LLM-based systems (LangChain, RAG, vector DBs, etc.).
Python experience .
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