Senior Full-Stack Engineer

On-Target Earnings: $100,000 - $150,000 CAD

Location: Remote

About SocialSweep

SocialSweep is the search engine for your network. We turn fragmented relationship data across platforms into a unified, intelligent search experience. By combining structured data, AI-generated insights, and hybrid search (semantic + lexical), we help users instantly surface the right people, opportunities, and connections.

Why you shouldn't work here – Radical Transparency from our CEO

What Applying Looks Like

We keep it transparent and efficient. Here's what to expect:

• 1-min intro video (Loom, Vidyard, or Google Drive – share your link below)
• Application review
• 15-minute intro call
• Strengths assessment – how you learn and do
• Hiring Manager interview – values and culture fit
• Paid test project – work with us, like you're already on the team
• Final call with our CEO
• Offer – if we're both excited, we move forward fast
  
  

What You'll Work On

You'll be a core engineer building and scaling our AI-powered search platform. Our system ingests relationship data, enriches it with AI, and enables fast, high-relevance retrieval using a hybrid BM25 + vector search approach.

Core System Flow

• Ingest and normalize data from multiple integrated systems
• Enrich connections with AI-generated summaries
• Generate embeddings from summaries using OpenAI
• Store vectors in Weaviate
• Execute hybrid search (BM25 + semantic, weighted ~0.75 semantic)
• Interpret user queries (intent detection, inclusive vs exclusive filters)
• Run vector search → hydrate results via Postgres
• Return ranked, explainable results to the user
  
  

Responsibilities

• Design and implement scalable backend services using Node.js, Express, and TypeORM
• Build and optimize hybrid search pipelines using Weaviate
• Implement AI workflows using OpenAI (summarization, embeddings, query interpretation)
• Develop query-understanding and intent-parsing logic
• Optimize relevance, ranking, and performance of search results
• Build and maintain APIs consumed by an Angular frontend
• Work with PostgreSQL for transactional and relational data
• Deploy and operate services within the GCP ecosystem
• Collaborate closely with product to iterate quickly on search quality and UX
  
  

Tech Stack

• Frontend: Angular
• Backend: Node.js, Express
• ORM: TypeORM
• Database: PostgreSQL
• Search / Vector DB: Weaviate
• AI: OpenAI (summaries, embeddings, query interpretation)
• Cloud: Google Cloud Platform (GCP)
  
  

What We're Looking For

• 5+ years of experience as a backend or full-stack engineer
• Strong proficiency in Node.js and API design
• Experience with search systems, ranking, or information retrieval
• Hands-on experience with vector databases or semantic search
• Solid understanding of relational databases and query optimization
• Familiarity with GCP services (Cloud Run, GKE, Pub/Sub, BigQuery, etc.)
• Comfortable working in fast-moving, early-stage startup environments
• Strong systems thinking and ability to reason about tradeoffs in search relevance
  
  

Nice to Have

• Experience with hybrid search (BM25 + vector)
• Background in NLP, ML, or AI-powered products
• Experience interpreting natural-language queries
• Prior work on developer platforms, CRMs, or data aggregation products