Software Engineering Associate

Description

• Prototype LLM + retrieval pipelines with safety and filtering.

• Operate knowledge graph/vector DBs (Pinecone, Weaviate) and manage embeddings.

• Build FastAPI services for search, recsys, and memory.

• Design resilient systems with caching, retries, observability

. • Run data pipelines for large-scale indexing and embeddings.

• Capture personalization signals (search, chat, purchase).

• Optimize for low-latency APIs & high-throughput pipelines.

• Collaborate with research and product on evaluation and UX.

Requirements

• Strong Python (FastAPI, async/await, Redis, PostgreSQL).

• 1-3 years of hands-on experience with LLM prompting, RAG, embeddings, vector search.

• Comfort with APIs, distributed systems, caching, observability.

• Familiarity with GCP/AWS/Azure or similar cloud services, Docker, Git, CI/CD.

• Clear communicator, self-driven, team player.

• TypeScript/Node.js/javascript (NestJS), React/Next.js.

• Familiarity with FAST API, Streamlit and similar frameworks.

• Recommender systems exposure.

• Embedding model evaluation skills.

Benefits

• We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace.

• We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate.

• In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), we are committed to providing accommodations throughout the recruitment and selection process.

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