AI Engineer

Tempus Unlimited; Florida (OH); À distance; USD 100 000 - 140 000; Plein temps

Avantages offerts par ce poste

Sign on bonus

Work/Life balance

25 days PTO

14 holidays

Tempus Wellness

Life insurance

On-site gym

Merit increases

403(b) matching

Continued education

Résumé du poste

Tempus Unlimited is seeking an AI Engineer to design and operate in-house AI systems, focusing on performance, security, and reliability. The role involves maintaining AI models, quantization for production, and building end-to-end ML pipelines in a remote-capable setup based near Stoughton, MA.

You will work on RAG systems, semantic search, and production-grade APIs while collaborating with network and system admins to deploy models and monitor performance in real-world environments.

Qualifications

• 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.

Responsabilités

• 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 approaches for system administration tasks and economies of scale.
• Repair and recover from hardware or software failures; coordinate with affected 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.

Connaissances

Python

SQL

ETL pipelines

PyTorch

TensorFlow

LlamaIndex

LangGraph

Formation

High School Degree or equivalent

Bachelor’s degree in a related field

Outils

REST APIs

SDKs

Description du poste

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