data
Posted 6 days agoSenior AI Engineer
at Affinity
United StatesHybrid
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Responsibilities
- 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.
Requirements
- This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform.
- 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.
- 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.
- 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 Nice to Have: •
- 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:
- Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed. We use E-Verify
Experience
- qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Required: 5+ years of
Benefits
- 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.
- 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 $235,000 USD .
- Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. About Affinity
- 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.
Contact
- To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify .
Additional details
- 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.
- We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers.
- At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past
- 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 .
- Work Location: San Francisco, New York, or US Remote (Affinity is registered to employ in certain U.S. states)