AI Engineer; remote Boston area

Position: AI Engineer (remote greater Boston area)

Who We Are:

At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results.

Emburse AI Engineer

As an AI Engineer at Emburse, you will 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 to help build the future of a completely automated invoice and expense management lifecycle.

Description

As a key member of our team, you will be responsible for designing, developing, and deploying AI solutions that further automate expense and invoice management processes and solve complex optimization problems. By combining expertise in machine learning, deep learning, and data science; you will create systems capable of learning and adapting over time leveraging production feedback mechanisms. Collaborating with cross-functional teams, the Emburse AI engineer will build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure.

In addition to technical responsibilities, the Emburse AI engineer will play a strategic role by identifying opportunities for AI applications and driving innovation across the enterprise. You will work closely with data scientists, software engineers, and product stakeholders to ensure AI models align with organizational goals and deliver value. With a focus on continuous improvement, you will need to stay updated on the rapidly emerging advancements in artificial intelligence, exploring new tools for fine tuning, distilling and deploying open-source foundation models.

Further, you will be on the forefront of widening the scope of intelligence of Emburse AI by leveraging agents to retrieve canonical knowledge and make autonomous inferences for the purpose of handling user inquiries. This dynamic role is essential for Emburse to remain competitive in a rapidly evolving technological landscape.

Key Responsibilities

● Able to translate product design requirements into pipeline of heuristic and stochastic algorithms

● Understand exploratory data analysis for product feasibility studies and ground truth testing

● Execute SQL queries and/or python scripts to manipulate, analyze and visualize data

● Able to implement explainable AI solutions and rationalize model inferences

● Follows SDLC processes, Adopt agile-based processes/meetings and peer code-reviews

● Works with Machine learning engineer/architect to deploy data products into production

● Follows and understands legal data use restrictions

● Contributes to algorithm library development and design for ML, NLP and XAI

● Delivers product pipelines for deployment to production

● Builds applications that integrate third party and self-hosted foundation models.

● Fine tunes open source foundation models (LLMs, VLMs) with proprietary data

● Develops autonomous AI inference and tool use orchestration using ReAct AI agents

● Provides root cause analysis for machine learning model inference

● Completes data analysis or processing tasks as directed

● Documents data product end to end design and development

● Data annotation, labeling and other related data generation activities

● Provides thought leadership for rest of team and seeks out opportunities to mentor more junior team members

● Presents and holds data product updates and trainings

● Updates team on data product performance

Education & Experience

BS in Statistics, Mathematics, Computer Science or another quantitative field with at least 6 years

experience manipulating data sets and building GLM/regression models, ensemble decision trees and neural networks. The ideal candidate will have demonstrated hands-on experience with foundation models, GenAI and agents over the last 1-2 years. Graduate degree preferred.

Key Qualifications

● Strong problem solving skills with an emphasis on product development.

● 6+ years of experience developing data science products

● Strong experience using and optimizing common python machine…