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Job Description

Tempus Unlimited is building and operating in-house AI systems that support production deployments at scale, with a focus on performance, security, and reliability. In this AI Engineer role based in Stoughton, MA (remote), you will maintain and quantize AI models and develop LLM-powered applications designed to run in real-world environments.

Working under limited supervision, you will contribute to end-to-end model development, evaluation, monitoring, and documentation while collaborating with network and system administrators to integrate AI into production services.

Responsibilities

  • Design and build LLM-powered applications, APIs, and agentic pipelines
  • Collaborate with network and system administrators to integrate AI models into production systems via REST APIs and SDKs
  • Develop RAG (Retrieval-Augmented Generation) systems and semantic search features
  • Fine-tune foundation models for specific use cases
  • Develop, train, evaluate, and iterate on ML models using real-world datasets; contribute to and maintain system standards
  • Run tracking metrics and benchmark model performance
  • Optimize and quantize models to improve latency and accuracy in production
  • Build and maintain data pipelines that supply AI models
  • Set up 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, potentially automated approaches for system administration tasks and identify economies of scale using available resources
  • Repair and recover from hardware or software failures; coordinate and communicate with impacted constituencies
  • Perform periodic performance reporting to support capacity planning
  • Analyze system logs to identify potential issues with computer systems
  • Conduct routine audits of systems and software

Requirements

  • Minimum education: High School Degree (or equivalent) with relevant experience, or a Bachelor’s degree in a related field
  • Familiarity with Python, SQL, ETL pipelines, PyTorch, TensorFlow, LlamaIndex, and LangGraph
  • Problem-solving and analytical skills
  • Ability to stay current with new systems and AI technologies
  • Ability to work independently and adapt quickly to changing environments
  • Experience working in a 24/7 uptime environment
  • Ability to train other staff
  • Ability to maintain documentation on AI-related systems
  • Experience working in multiple small teams in and outside the IT department with shared responsibility
  • Team player mindset
  • Motivated and detail oriented
  • Ability to work with limited direction and minimal oversight

Technologies

  • Python, SQL, ETL Pipeline
  • PyTorch, TensorFlow
  • Llama index (LlamaIndex), LangGraph
  • REST APIs, SDKs
  • LLM-powered applications, RAG (Retrieval-Augmented Generation), semantic search features
  • ML, AI/ML

Location and Compensation

  • Location: Stoughton, MA (remote)
  • Salary: USD 100,000 - 140,000 per year

Benefits

  • Sign on bonus
  • Work/Life Balance
  • Paid time off: 25 days per year for full-time staff
  • 14 paid Holidays
  • Tempus Wellness: Medical, Dental, Dependent Care Reimbursement, FSA, and HSA
  • Basic Life, Short Term and Long-Term Disability
  • On-site gym (Stoughton Location) and wellness initiatives
  • Annual Reviews with merit-based increases
  • Employee Recognition Program
  • Financial Wellness: 403(b) Retirement Plan with matching
  • Continuing Education, Training and Advancement opportunities

Remote States, Core Hours, and Travel

  • Fully remote states only: Massachusetts (MA), Florida (FL), Ohio (OH), Pennsylvania (PA)
  • Core hours: Monday - Friday, 8:30am to 4:30pm
  • After hours: Possible depending on project needs
  • Travel: Not required

Work Authorization and Security

  • Offers are contingent on satisfactory background check results
  • Pre-employment background checks will be conducted in accordance with program policy and state and federal regulations
  • Background checks may also be conducted on current employees to ensure compliance with state and federal regulations and contracts

Work Environment and Physical Demands

  • Work environment: Professional office environment; uses standard office equipment such as computers, phones, photocopiers, filing cabinets, and fax machines
  • Physical demands: Ability to lift 25 pounds; regularly required to talk and/or hear; frequently required to sit, stand, walk, use hands to finger/handle/feel, and reach with hands and arms

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