Affinity.co - Senior AI Engineer, AI Platform
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles. • 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 • 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. • Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference. • How we work: • Our culture is a key part of how we operate, as well as our hiring process: • We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers. • We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. • We make data-driven decisions and make the best decision for the moment based on the information available. • If you’d want to learn more about our values click here. • What you'll enjoy at Affinity: • We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients. • 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.
Responsibilities
• Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques. • Build RAG systems: • Build LLM powered agent systems: Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers. • Build LLM powered agent systems • Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. • Solve complex problems • 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. • Collaborate cross-functionally
Benefits
• Retirement Planning: We offer an RRSP plan to help you plan for your future. • Retirement Planning: • Learning & Development: We provide an annual education budget and a comprehensive L&D program. • Learning & Development: • Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness. • Wellness Support: • Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success. • Team Connection: • Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job. • A reasonable estimate of the current range is $160,000 to $220,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. • $160,000 to $220,000 CAD • At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment. • Additional Information: • This job posting represents an active vacancy that we are currently seeking to fill. • With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed. • We use E-Verify • We use E-Verify • Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.
No credit card. Takes 10 seconds.