AI Engineer

• Design, develop, and deploy AI solutions to automate expense and invoice management processes
• Build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure
• Translate product design requirements into pipelines of heuristic and stochastic algorithms
• Perform exploratory data analysis for product feasibility studies and ground truth testing
• Execute SQL queries and/or python scripts to manipulate, analyze and visualize data
• Implement explainable AI solutions and rationalize model inferences
• Follow SDLC and agile processes, participate in peer code-reviews
• Work with ML engineers/architects to deploy data products into production
• Follow and understand legal data use restrictions
• Contribute to algorithm library development for ML, NLP and XAI
• Deliver product pipelines for deployment to production
• Build applications that integrate third party and self-hosted foundation models
• Fine tune open source foundation models (LLMs, VLMs) with proprietary data
• Develop autonomous AI inference and tool orchestration using ReAct AI agents
• Provide root cause analysis for ML model inference
• Complete data analysis or processing tasks as directed
• Document data product end to end design and development
• Perform data annotation, labeling and other related data generation activities
• Provide thought leadership and mentor junior team members
• Present and hold data product updates and trainings
• Update team on data product performance

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Fullstack AI Engineer