• Design and implement scalable MLOps/LLMOps platforms supporting the full ML lifecycle: data versioning, model training, evaluation, deployment, and monitoring • Build and maintain CI/CD pipelines for ML models and LLM applications with automated testing, validation, and rollback capabilities • Develop infrastructure-as-code (IaC) for reproducible, version-controlled ML environments • Architect model serving infrastructure with auto-scaling, A/B testing, and canary deployment capabilities • Build platforms for LLM fine-tuning, prompt management, and experimentation at scale • Implement evaluation frameworks for LLM performance, quality, safety, and cost optimization • Design and deploy enterprise-grade AI agents and copilots with robust monitoring and guardrails • Establish LLM observability: token usage tracking, latency monitoring, prompt/response logging, and cost attribution • Own uptime, reliability, and performance of ML/LLM services (SLIs/SLOs) • Implement comprehensive monitoring, alerting, and incident response for ML systems • Participate in on-call rotations and drive post-incident reviews to improve system resilience • Build automation and tooling to reduce toil and accelerate ML development velocity • Partner with ML Engineers and Data Scientists to translate research into production-ready systems • Collaborate with platform and infrastructure teams on cloud architecture and resource optimization • Mentor team members on MLOps best practices, production ML patterns, and operational excellence • Drive technical decisions on tooling, frameworks, and architectural patterns

• Design, implement, and optimize agentic AI components, including context engineering, memory management, and prompts. • Develop and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale. • Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability. • Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights. • Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes. • Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement. • Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Dam Engineer will have experience with Dams in a number of different areas of focus which can include Structural Engineering of Dams, the H&H design criteria for Dams or with the Geotechnical Engineering Standards for Dams. This role offers an exceptional career opportunity for a proven self-starter with a customer-focused approach, capable of leading medium to large-scale projects with a strong emphasis on delivering the highest quality results. - Designing and analyzing various types of dam embankments and flood control structures, focusing on seepage, slope stability, and dam safety issues. - Designing and analyzing reinforced concrete hydraulic structures, such as spillways, outlet works, and stilling basins for complex sites. - Independently applying advanced theories, concepts, and principles of engineering to address critical issues and unique conditions. - Participating in the development of project design concepts and criteria, including research on large or complex project elements. - Leading the interpretation, organization, execution, and coordination of large or complex engineering assignments. - Acting as a technical specialist in the preparation of proposals. - Managing project teams, including potential integration across multiple disciplines. - Serving as Project Manager, Client Manager, and/or Proposal Manager as needed. - Conducting QA/QC reviews to ensure high-quality deliverables. - Supervising a team of engineers and other technical specialists, as applicable. - Collaborating closely with clients to ensure satisfaction and contribute to business development initiatives. - Preparing engineering memorandums, reports, design drawings, and specifications. - Providing observation support and guidance to construction management staff during project construction phases. - Preparing engineering design cost proposals and assisting with marketing and business development efforts as required. Qualifications - Registered Professional Engineer (PE) in Colorado or ability to obtain. - Bachelor’s Degree in Civil, Structural or Geotechnical Engineering is required. - 5-10 plus years of experience in water resources, mining, or dam projects. - Experience with AutoCAD and Microsoft Office Suite. - Field experience with geotechnical related explorations and construction activities. - Strong analytical and report/proposal writing skills. - Strong written and verbal communication skills and ability to work independently and within a team environment. - Project Management experience (PMP) and/or advanced technical certification (BCEE) is preferred. Requirements - Master's Degree preferred. - Familiarity with GeoStudio. - MSHA certification. - Prior supervision of staff. - Project Management experience (PMP) and/or advanced technical certification (BCEE). Compensation - The salary range for this role is $95,000 - $135,000. Salary is dependent upon experience and geographic location. Benefits - Hybrid (in-person and remote) work environment. - Comprehensive benefits package including wellness programs, parental leave, and pet insurance, in addition to medical, dental, vision, disability, and life insurance. - Tax-deferred 401(k) savings plan. - Competitive paid-time-off (PTO) accrual. - Tuition reimbursement for continued education. - Commitment to professional development, access to internal and external training programs, and support of active participation in professional organizations. - Incentive compensation for eligible positions.

ABOUT THIS ROLE As a Senior Machine Learning Engineer, you will play a critical role on a team of engineers that drive new LLM, VLM, and Agentic AI development for LiveView Technologies. You will be responsible for designing and implementing ML systems for security and monitoring. Department leads will need your help to understand which problems are appropriate for ML, and to select the appropriate machine learning models for our business needs. Your recommendations will help guide us in design decisions that add significant value to the company. You will have an opportunity to impact the success of the business with ML, and in other areas of software engineering. JOB RESPONSIBILITIES - Lead, design, implement, and improve ML and AI solutions leveraging LLM’s, VLM’s, and Agentic AI - Explore and research new and emerging ML technologies for the company - Share insight into which types of problems are most appropriate for machine learning - Provide guidance on distributed training and data collection - Create solutions that are optimized to combine Edge IOT devices and Cloud Services - Work in a multidisciplinary team - Facilitate a culture of innovation, transparency, and clear communication - Write and review technical documents, including requirements and design documents QUALIFICATIONS - 7+ years of professional software development experience, including 5+ years creating and shipping production-level Machine Learning solutions. - 2+ years of experience specifically deploying solutions leveraging Large Language Models (LLMs) and Vision-Language Models (VLMs). - 1+ years of experience building Agentic AI applications - Expert proficiency in one or more programming languages (e.g., Python, C/C++, Java) and familiarity with open-source technologies. - Deep understanding and practical experience with supervised, unsupervised, and reinforcement learning methods for prediction and optimization. - Experience with ML frameworks such as TensorFlow, PyTorch, or Keras, including the ability to select the optimal model for business applications. - Experience with Agentic AI frameworks and protocols: Langchain, CrewAI, Microsoft Agent Framework, Anthropic’s MCP, Google’s A2A, etc. - Solid experience with applied data science methods, data structures, and algorithms. - Expertise in ML training data collection, wrangling, and optimizing/tuning high-dimensionality data. - Experience with Linux/Unix environments and source control systems (Git). - Familiarity with cloud-based development platforms (e.g., AWS, Azure). - Ability to work independently on ambiguous problems while maintaining a highly collaborative, team-player attitude. - Excellent written and verbal communication skills for technical and cross-functional teams. Desired: - Experience with Neural Network optimization (e.g., quantization, compression, distillation). - Experience with Container ecosystems (e.g., Docker, Kubernetes). - Experience in areas like search, ranking, computer vision, recommendation systems, or multi-modal/multi-sensor fusion. - Evidence of thought leadership (e.g., patents, published papers) and experience presenting/visualizing results to business audiences. WHY JOIN US - Founder-led and employee-driven company - The opportunity to build where you stand - Value centric decision making - Both an economically stable and hyper-growth environment (ask us how this is possible) - The market leader in redefining how B2B does security On top of the obvious benefit of getting paid to work with great people who are laser-focused on a mission that matters, we also offer the following benefits: - Comprehensive health, vision, and dental benefits for you and your family. Including supplemental and life insurance, company-paid HSA contributions, and an Employee Assistance Program (EAP). - 401(k) With up to 4% match - Time Off & Paid Holidays - Ask us how we empower employees to take control of their well-being - Stock Options - Every full-time employee has the opportunity to be an owner of the company and benefit from our success. - Paid Parental Leave - To help your growing family while you're away from work. - Company Events - Christmas Party, Summer Party, and other parties to celebrate whenever we can find an excuse. - Charitable Opportunities - LVT sends groups of employees to help the Daybreak Vision Project restore sight to thousands of people a year. - Wellness - We regularly host dentists, chiropractors, financial experts, and other professionals to provide services and seminars to help promote physical, mental, emotional, and financial wellness. - And More - Scholarship opportunities for employees and their dependents, discounted cell services, and opportunities to score tickets to Utah Jazz games and other Delta Center events. HR Policy We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All Candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S.