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See allIn this role you will:
- Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques.
- Build LLM powered agent systems : Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers.
- Solve complex problems : Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.
Qualifications:
- 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production.
- Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation
- Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction
What you'll enjoy at Affinity:
- We live our values:
- Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
- Retirement Planning: We offer an RRSP plan to help you plan for your future.
Affinity
Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. They offer their users the insights and visibility they need to nurture and tap into the opportunities in their team's network. With more than 3,000 customers worldwide, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals.