Ai Engineer

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Mason
As a 100% Employee-Owned company,Robert E. Mason & Associates, Inc.believes our Associates are the foundation of both our customers' and our success.
Under theRobert E. Mason & Associates, Inc. umbrella there are two divisions:R.E. MasonandApperture Solutions.
R.E. Masonis an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia.
Emerson is the global leader of process systems and solutions.
R.E. Mason provides industry-leading process equipment and service for process control, automation, safety, and reliability.
The industries served include Chemical, Pharmaceutical & Life Sciences, Power & Utilities, Food & Beverage, and Pulp & Paper.
Apperture Solutionsis a technology independent, professional consulting and implementation services firm.
Apperture Solutions offers Data Enablement, Production Optimization, Operations Management, and Other Value-Added Services.
Apperture Solutions partners with other providers to offer our customers the technologies and solutions that fit their needs.
What Apperture Offers Associates: Apperture is a 100% employee-owned company that offers a comprehensive, industry-leading benefits package to all eligible Associates
Participation in the Employee Stock Ownership Program (ESOP) Retirement plan, including a Safe Harbor contribution
Medical / Dental / Vision Insurance
Employer paid Life Insurance and Long-Term Disability Insurance
Generous paid leave options that include vacation time, sick leave, personal leave, R.E. Mason Way Half Day, paid Jury Duty, and paid Bereavement Leave
Paid company holidays
Retirement and Financial Wellness program
Employee Assistance Program (EAP)
Alternative/Hybrid Work Schedule
General Description
The Lean AI Engineer will help design, build, and deploy lightweight, domain-specific AI tools—including embedded LLM agents, retrieval-augmented generation (RAG) systems, and workflow co-pilots.
This role focuses on solving practical engineering and operations problems using narrowly scoped GenAI and ML solutions that can run on local or hybrid infrastructure in DOE-compliant environments.
Specific Responsibilities
Develop and deploy lightweight GenAI agents (e.g., SOP Assistants, Throughput Co-Pilots) using open-source or cloud-hosted models
Design retrieval-augmented generation (RAG) pipelines using tools like LangChain, Semantic Kernel, or custom logic
Create and manage vector stores for knowledge retrieval using FAISS, Qdrant, or Azure AI Search
Work with stakeholders to extract, clean, and embed SOPs, logs, and operational knowledge into AI-ready formats
Integrate AI systems with internal tools (SharePoint, Power BI, custom dashboards)
Contribute to fine-tuning, prompt engineering, and orchestration of model pipelines
Package models and pipelines into secure, containerized apps suitable for offline or GovCloud deploy
Document systems, workflows, and compliance touchpoints
Collaborate with OT, IT, cybersecurity, and business operations teams to meet deployment constraints
Support internal customers by developing solutions to meet their data needs
Enhance and support CI/CD automation needs of the business
Previous experience as an active SCRUM team member
Required Competencies
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
3+ years experience in AI/ML, NLP, or data science roles; academic experience is acceptable
Experience building or integrating with LLMs (e.g., OpenAI, HuggingFace, LLaMA, etc.); understanding of vector databases and embedding models
Knowledge of cloud deployment models (Azure, AWS, GovCloud)
Familiarity with containerization (Docker) and edge/on-prem compute
Strong problem-solving skills and the ability to work independently and in a team environment
Excellent written and verbal communication skills
Highly communicative, detail-oriented, and career-minded with the ability to multitask
Customer service-oriented with a positive attitude and willingness to tackle any task
Resourcefulness and troubleshooting aptitude
Attention to detail; ability to follow detailed instructions
Time management and teamwork
This is a hybrid role requiring three days per week in the office and two days working from home
Required Education and Experience
BSc/BA in Computer Science, Engineering or a related field
Experience with semantic search, knowledge graphs, or enterprise RAG
Familiarity with DOE or highly regulated environments
Exposure to SCADA, DCS, or control systems as AI input sources
Contributions to open-source AI tooling or fine-tuning pipelines
Preferred Experience/Competencies
Experience with industrial data sources and IoT data (SCADA/DCS, PLC, or process control)
Knowledge of data warehousing concepts and technologies (e.g., Redshift, Snowflake)
Understanding of machine learning concepts and model deployment
Certifications in relevant technologies and platforms
Physical Requirements
Standing, walking, sitting, kneeling, reaching, climbing, pushing and pulling
Lifting up to 50 pounds
Use of computer and telephone
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries: Software Development and Engineering Services
Note: This description may include the job posting dates and related postings for context.
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