Senior AI Engineer

🔥 3 hours ago

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Affinity.co

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

☁️ SaaS

🤝 B2B

SaaS • B2B

Affinity. co is a relationship-intelligence CRM platform. It automates capture of relationship and deal data from email, calendar, and other sources, and provides analytics, pipeline management, and workflow tools to help teams manage fundraising, deal sourcing, and outreach. Affinity is delivered as a B2B software product often used by venture capital, private equity, recruiting, real estate, and sales teams.

📋 Description

• 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) teams to build robust, high-scale systems that underlie all of our data processing and ML Operations.

🎯 Requirements

• 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. • Experience with enterprise AI applications with strict compliance, audit, or legal requirements (Nice to Have). • Experience with dataset engineering, multi-modal search, graph-based recommendation systems, and developing AI applications powered by agent-based systems (Nice to Have).

🏖️ 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.