Artificial Intelligence Engineer

Tempus Unlimited Inc•Stoughton, MA

1d•$100,000 - $140,000•Remote

About The Position

Under limited supervision the Artificial Intelligence (AI) Engineer performs maintenance and quantization's of AI models to deploy at scale to solve real world problems. Software engineering and product development tuning for production ready applications. The AI engineer’s role is to ensure that Tempus Unlimited in-house AI system is secure, functioning at peak levels and using the most up to date hardware and software available. Salary $100,000.00 - $140,000.00 Fully remote in these states only: Massachusetts (MA) Florida (FL) Ohio (OH) Pennsylvania (PA) Core hours: Monday - Friday 8:30am to 4:30pm Possible after hours depending on need of project

Requirements

Familiar with Python, SQL, ETL Pipeline, PyTorch, TensorFlow, Lama index and LangGraph
Problem solving and analytic skills
Ability to stay up to date on new systems and AI technologies
Ability to work independently and be able to adjust to changing environments quickly
Experience working in a 24/7 uptime environment
Ability to train other staff
Ability to maintain documentation on all systems related to AI
Ability to work various small teams in and outside the IT department with shared responsibility
Team Player
Motivated and detail oriented
Ability to work with limited direction and minimal oversight
Minimum education requirement of a High School Degree or equivalent with relevant experience or a Bachelor’s degree in a related field required.
Must be able to lift 25 pounds

Responsibilities

Design and build LLM-Powered applications, Api's and agentic pipelines
Work with network and system administrators to integrate AI models into production systems via REST API's & SDKS
Develop RAG (Retrieval-Augmented Generation) systems and semantic search features
Fine-tune foundation models for specific use cases
Model Development, Train, Evaluate and iterate on ML models using real-world datasets.
Contribute to and maintain system standards
Run track metrics and benchmark model performance
Optimize and quantize models for latency and accuracy in production
Build and maintain data pipelines that feed AI models
Setup Monitoring alerting and logging for model health and drift
Work with managers and system admins to define AI feature requirements and translate business problems into AI/ML solution designs
Research and evaluate new models’, frameworks and tools
Document architecture experiments and decisions clearly
Research and recommend innovative, and where possible automated approaches for system administration tasks.
Identify approaches that leverage our resources and provide economies of scale
Repair and recover from hardware or software failures. Coordinate and communicate with impacted constituencies
Perform periodic performance reporting to support capacity planning
Analyzing system logs and identifying potential issues with computer systems
Performing routine audit of systems and software