ewavonhowie
Early-stage startup building an AI platform that helps architecture and engineering teams reuse knowledge from past projects (documents, drawings, revisions) to reduce costly rework in planning and pre-construction.
You’ll work on multi-tenant backend systems powering hybrid search, document ingestion pipelines, and large-scale indexing across complex engineering datasets.
Stack / areas: PostgreSQL, Elasticsearch/OpenSearch, vector search, distributed systems, async pipelines.
Looking for: 8+ years backend engineering experience, strong systems design skills, experience with distributed systems and production B2B SaaS.
Small team (currently <10 engineers), high ownership, real production users.
Backed by Pi Labs and DAR.
Full JD: https://howie.systems/careers Contact: [email protected]
Early-stage startup building an AI platform that helps architecture and engineering teams reuse knowledge from past projects (documents, drawings, revisions) to reduce costly rework in planning and pre-construction.
You’ll work on multi-tenant backend systems powering hybrid search, document ingestion pipelines, and large-scale indexing across complex engineering datasets.
Stack / areas: PostgreSQL, Elasticsearch/OpenSearch, vector search, distributed systems, async pipelines.
Looking for: 8+ years backend engineering experience, strong systems design skills, experience with distributed systems and production B2B SaaS.
Small team (currently <10 engineers), high ownership, real production users.
Backed by Pi Labs and DAR.
Full JD: https://howie.systems/careers Contact: [email protected]
We already have a live product used by paying customers across Europe and are working closely with leading architecture firms. Backed by Pi Labs and DAR.
We’re hiring a senior hands-on backend engineer to help design and evolve the core infrastructure of our system: multi-tenant architecture, ingestion pipelines, hybrid search, and large-scale document indexing.
Key technical challenges: • multi-tenant enterprise architecture • hybrid search (Postgres + Elasticsearch + vector DB) • large-scale document ingestion pipelines • versioned data models for complex engineering projects • scaling to millions of indexed regions and embeddings • reliability and performance under enterprise workloads
Requirements: • 8+ years backend engineering experience • strong systems design skills • experience with distributed systems and async pipelines • PostgreSQL expertise • experience with Elasticsearch/OpenSearch or similar
Nice to have: vector databases, retrieval systems, document processing, ML infrastructure.
Small team (currently <10 engineers), high ownership, real production users.
Location: Vienna or remote within Europe Comp: competitive salary + meaningful equity
Full JD: https://howie.systems/careers
Contact: [email protected]
Looking for a hands-on senior engineer to own AI search & retrieval in production (Python, RAG, vector DBs, cloud). Strong bias to shipping.
Salary + meaningful ownership. Apply: [email protected] (ewa- i am a founder&CEO, team 6 FTE atm, raising seed now and growing) https://howie.systems Full JD: https://bit.ly/4prjMTJ