Role overview
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.
What you'll work on
- 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.
- Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being.
- Retirement Planning: We offer a 401(k) 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.
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 $106,200 to $210,000 USD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.
What we're looking for
- Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement.
- Develop AI applications powered by LLMs and agent-based systems
Familiar with modern LLM development frameworks:
Feature development: LangChain, LlamaIndex, or similar orchestration frameworks
Evaluation & monitoring: LangSmith, Weights & Biases, TruLens, DeepEval, Azure AI, or equivalent tools
Experience with text-to-SQL (text2sql) generation or similar natural language to structured query tasks
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.