Senior Back End Engineer, Hazel AI
AI summary of the role
Senior Back End Engineer role on the Hazel AI team at Altruist, building the AI engine for wealth management.
What you’ll do
- Architect robust systems across data, model, and product layers to bring the AI engine vision to life
- Build scalable data pipelines to store, sync, and extract large amounts of information from unstructured and structured data
- Optimize search and retrieval infrastructure to parse relevant extracted information for grounded, accurate, low-latency responses
- Collaborate with product managers and subject matter experts to build steerable AI systems
What you’ll bring
- 6+ years of experience, with some contributing to building ML systems at scale in production
- Experience building or using ranking/recommender systems, generative AI products, or vector databases/search indices
- Bachelor's/Master's degree in Computer Science, Machine Learning, Data Science, or related field
- Deep understanding of data structures, algorithms, and sound software engineering principles
Technologies
ML systems · ranking systems · recommender systems · generative AI · vector databases · search indices · data pipelines · retrieval infrastructure · LLMs
About Altruist
AI-forward custodian and wealth platform combining self-clearing brokerage, portfolio software, and advisor AI so independent RIAs can onboard, trade, bill, and serve clients in one stack.
Series F · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
hazel.ai, an AI assistant that has ~10x’d users in one month and are excited to hire an AI engineer to build the AI engine at the heart of the product. This engine will: connect to our users’ systems of record, parse, extract and store structured and unstructured information and deliver proactive insights that convert data into actionable outcomes (save time, taxes & fees). Your impact Customer focused - Demonstrate an eagerness to Deeply understand the industry, the opportunity and our users Interact with them and learn about their needs and frustrations Design and execution - Architect robust systems across data, model and product layers that bring our vision to life Build scalable data pipelines to store, sync and extract large amounts of information from unstructured and structured data Optimize our search and retrieval infrastructure to parse all relevant extracted
More from the job description
About Altruist Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients. We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you! But first, our values Kindness - Kindness doesn’t just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully. Brilliance - Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one. Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles. About Hazel Hazel is building the AI engine for wealth management that helps unlock 10x growth, efficiency and value for fina [... source excerpt omitted ...] arse, extract and store structured and unstructured information and deliver proactive insights that convert data into actionable outcomes (save time, taxes & fees). Your impact Customer focused - Demonstrate an eagerness to Deeply understand the industry, the opportunity and our users Interact with them and learn about their needs and frustrations Design and execution - Architect robust systems across data, model and product layers that bring our vision to life Build scalable data pipelines to store, sync and extract large amounts of information from unstructured and structured data Optimize our search and retrieval infrastructure to parse all relevant extracted informati [... source excerpt omitted ...] AI and how it can be leveraged to build industry leading products What you bring Experience - 6+ years with some of them contributing towards building ML systems at scale, in a production setting. Have built and/or used ranking or recommender systems, generative AI products, or vector databases, search indices, or other data stores for search and retrieval use cases Education - Bachelors/Master's degree in Computer Science, Machine Learning, Data Science, or a related field Foundations - A deep understanding of data structures, algorithms, and sound software engineering principles Technical aptitude - You have excellent problem solving skills, can break down a complex prob
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