Full-Time

Principal Large Language Model Engineer

Posted on 10/31/2025

SmartAsset

SmartAsset

201-500 employees

Personal finance resources and advisor marketplace

Compensation Overview

$190k - $236k/yr

+ RSUs + benefits

Remote in USA

Remote

Must reside in CA, CO, CT, MD, NV, RI, WA or New York City.

Category
AI & Machine Learning (3)
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Requirements
  • Bachelor’s degree or U.S. equivalent in Computer Engineering, Computer Science, Data Science, or related field, plus 5 years of professional experience as a Software Developer, Software Engineer, or any occupation/position/job title involving developing Large Language Model (LLM) applications.
  • In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master's degree or U.S. equivalent in Computer Engineering, Computer Science, Data Science, or related field, plus 3 years of professional experience as a Software Developer, Software Engineer, or any occupation/position/job title involving developing Large Language Model (LLM) applications.
  • 3 years of professional experience utilizing Python programming, building ETL pipelines, and working with Transformer architecture models
  • 3 years of professional experience working with Cloud Platforms (including AWS, GCP and Azure) and Vector databases (including MongoDB)
  • 3 years of professional experience utilizing LLM concepts including model fine-tuning and transfer learning
  • 3 years of professional experience utilizing LLM frameworks (including Hugging Face Transformers) and integrating with Python
  • 3 years of professional experience automating and scaling web frameworks (including FastAPI and Django) for building production ready applications
  • 3 years of professional experience building conversational chatbots using LLM's as per business needs
  • 3 years of professional experience presenting complex concepts to both technical and non-technical audiences
  • 3 years of professional experience working in a cross-functional team and collaborating with stakeholders at various levels of the organization
  • 3 years of professional experience with DevOps toolsets and working with RDBMS databases including MySQL, SQL Server, and PotstgreSQL
  • 3 years of professional experience utilizing Docker, Kubernetes and CI/CD tools and writing clean, maintainable, and testable code following best practices and industry standards
  • 3 years of professional experience building machine learning models including Random Forest, Logistic Regression, Linear Regression, Support Vector Machines (SVM), XGBoost, and LightGBM
  • 3 years of professional experience working with clustering models, including K-Means, DBSCAN, Gaussian Mixture Models, and Agglomerative Clustering
Responsibilities
  • Design and implement a high-performance, scalable and reliable LLM service using Python, LLM Services (including OpenAI, Antropic’s Claude, and Meta’s LLaMA) and Cloud technologies to power applications and business needs including building services that can serve hundreds of concurrent users in a second.
  • Design and develop RAG pipelines Building Search Engines and Recommendation engines on domain specific corpus.
  • Collaborate with business leaders to understand their needs and challenges, and identify potential LLM use cases.
  • Monitor LLM performance and make improvements to ensure acceptable response times based on use cases.
  • Participate in code reviews and provide guidance to junior developers.
  • Mentor LLM and AI Engineers to help deliver the AI use cases across the company. Perform LLM modeling, fine tuning and deployment of advanced AI technology solutions.
  • Collaborate with cross functional teams to understand how to build LLM software solutions, including fine-tuning LLM models.
  • Utilize strong communication skills (written and verbal) to convey technical concepts and collaborate technical concepts and collaborating with cross-functional teams.
  • Collaborate with other developers and data scientists within the organization to share knowledge, ideas, and best practices.
  • Design, develop and deploy Large Language Models (LLM) software solutions to facilitate AI needs for all enterprise and business use cases.
  • Implement software best practices to ensure seamless development, testing, and deployment of LLM software solutions.
  • Collaborate with business leaders to understand their needs and challenges, and identify potential LLM use cases that provide best ROI opportunities.
  • Stay up-to-date with the latest advancements in LLM technologies, and continuously explore ways to integrate these advancements into existing solutions.
  • Develop and maintain comprehensive documentation, including technical specifications, user guides, and best practices.
  • Ensure data privacy and security compliance while working with LLMs.
  • Provide support and training to internal teams as needed.

SmartAsset provides online personal-finance resources and a national marketplace that connects consumers with fiduciary financial advisors. It offers free educational content, calculators, and tools for topics like retirement, home buying, and taxes, with SmartAsset AMP matching users with up to three suitable advisors using an algorithm. For advisors, the SmartAsset Advisor Marketing Platform delivers client leads, automated marketing campaigns, and tech-enabled communication, funded by a subscription model for referrals and marketing tools. The goal is to help people make informed financial decisions while helping fiduciary advisors grow their client base and assets under management.

Company Size

201-500

Company Stage

Series D

Total Funding

$161.5M

Headquarters

New York City, New York

Founded

2011

Simplify Jobs

Simplify's Take

What believers are saying

  • 2024 prospecting tools track client engagement, boosting advisor lead conversion.
  • AMP extension targets new RIAs, capturing early-stage client acquisition market.
  • Automated marketing in AMP increases advisor stickiness and subscription lifetime value.

What critics are saying

  • Zoe Financial's superior algorithm erodes SmartAsset's leads in 6-12 months.
  • SEC fines SmartAsset for fiduciary disclosure failures within 12-24 months.
  • Google's AI finance tool diverts 75 million visitors in 6-12 months.

What makes SmartAsset unique

  • SmartAsset AMP matches consumers algorithmically to three fiduciary advisors based on goals.
  • SmartAsset reaches 75 million monthly users via personalized calculators and content.
  • Tiered AMP plans—Discover, Accelerate, Scale—offer referrals, campaigns, and texting tools.

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Benefits

Remote flexibility

Medical, dental, & vision coverage

Life/AD&D insurance

FSA

401K

Equity packages

PTO

Parental leave

EAP

Pet insurance

Home office stipend

Health & wellness stipend

Monthly food delivery stipend

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

0%
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New York City-based RIA referral platform SmartAsset has announced the launch of two tools designed to help advisors monitor the engagement of prospective new clients.

Carteret County News-Times
Aug 30th, 2024
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SmartAsset, a financial technology company, ranked CCC number 9 in the online ranking of America's Best Community Colleges for 2024, according to a press release issued Aug. 29.

Citywire
Aug 13th, 2024
SmartAsset launches marketing platform extension for new advisors

SmartAsset, an RIA referral company that connects individual investors to financial advisors, has launched a new platform aimed at recently-established RIAs.

PennLive
Jul 22nd, 2024
This Pa. county has the 'most purchasing power' in the state

SmartAsset - which is described by its about page as "committed to publishing the most accurate and actionable advice, personalized calculators and education tools to help people navigate life's big personal finance decisions" - annually releases its "Cost of Living Calculator" that allows for people to compare and contrast just that across the United States.

INACTIVE