[Hiring] Senior AI Engineer, AI Platform @Affinity.co

Role Description

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network.

This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers.

As a Senior AI Engineer, you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry.

In 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.
• Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.

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.
• Experience with vector or graph databases.
• Experience with document chunking, embedding models, and context window optimization.
• Familiarity with metadata-based retrieval and re-ranking strategies.
• Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency).
• Familiarity with data security, versioning, and MLOps principles.

Requirements

• Experience with enterprise AI applications with strict compliance, audit, or legal requirements.
• Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements.
• Experience with multi-modal search.
• Experience with graph based recommendation systems, such as graph NN.
• Experience with developing AI applications powered by agent-based systems.
• Experience with packaging, CI/CD and pipeline automation.

Benefits

• 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.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.