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Senior AI Engineer (Greater Boston area)

Emburse

Salary not specified
Sep 23, 2025
Boston, MA, US
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Emburse is looking to build the future of a completely automated invoice and expense management lifecycle by developing AI inference applications and products.

Requirements

  • Hands-on experience with foundation models, GenAI and agents over the last 1-2 years
  • Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib
  • Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets
  • Hands-on generative AI development Experience using foundation models (LLMs, VLMs)
  • Experience with model fine tuning of open source foundation models with proprietary data
  • Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries
  • Experience using machine learning libraries such as TensorFlow, Keras, SparkML etc.

Responsibilities

  • Drive design and implementation of artificial intelligence inference applications and products using a variety of approaches including foundation models (GenAI), agents, deep learning, neural networks and other machine learning techniques
  • Designing, developing, and deploying AI solutions that further automate expense and invoice management processes and solve complex optimization problems
  • Build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure
  • Identify opportunities for AI applications and driving innovation across the enterprise
  • Explore new tools for finetuning, distilling and deploying open-source foundation models
  • Leverage agents to retrieve canonical knowledge and make autonomous inferences for the purpose of handling user inquiries
  • Builds applications that integrate third party and self-hosted foundation models.

Other

  • Project leadership in this role
  • Collaborating with cross-functional teams
  • Work closely with data scientists, software engineers, and product stakeholders
  • Strong problem solving skills with an emphasis on product development and the ability to lead a project
  • Able to serve as a project lead where you will lead and mentor others