Overview:
Who We Are:
Lippert is a leading, global manufacturer and supplier of highly engineered products and customized solutions, dedicated to shaping, growing and bettering the RV, marine, automotive, commercial vehicle and building products industries. We combine our strategic manufacturing capabilities with the power of our winning team culture to deliver unrivaled customer service, award-winning innovation and premium products to all of our customers.
Why We are Different:
At Lippert, Everyone Matters. This is not just a tagline or empty promise; it is who we are. We have intentionally created a culture that values and celebrates our team members’ unique and varied backgrounds, perspectives, and experiences. We strive to give our team members a deeper sense of purpose at work, and we continue to build a better work environment by aligning our cultural and business strategies with the needs of our team members.
What You will Get:
- A unique, inclusive and supportive company culture.
- Comprehensive benefit offerings including medical, dental, vision, 401k with employer match, vacation, and more!
- Fair and competitive compensation.
- Career development and mentoring and opportunities to grow.
- Holiday, personal and vacation days.
Summary/Objective:
The Data + AI team at Lippert builds and operates production AI systems that drive efficiency and automation across manufacturing, engineering, and corporate functions.
As a Senior AI/ML Engineer – GenAI & LLM, you will be a hands-on individual contributor responsible for building, deploying, and maintaining LLM-powered applications in production. This role is for a strong engineer who writes code daily, owns systems end to end, and delivers working solutions—not just designs or prototypes.
Duties and Responsibilities:
Essential Functions:
- Build, test, and deploy production-grade Generative AI and LLM solutions
- Design and implement RAG pipelines, prompt strategies, embeddings, and agent workflows Own the full solution lifecycle: data model deployment monitoring* iteration
- Develop and maintain scalable data pipelines for training and inference
- Deploy and operate AI systems in Azure and Databricks
- Implement evaluation, logging, monitoring, and cost controls for LLM systems
- Integrate AI services into internal tools and enterprise applications via APIs
- Collaborate closely with product, engineering, and business stakeholders
- Contribute to team standards through hands-on coding and code reviews
- Mentor junior team members through technical guidance and example
Working Conditions:
- Primarily working indoors, office environment.
- May sit for several hours at a time.
- Prolonged exposure to computer screens.
- Repetitive use of hands to operate computers, printers, and copiers.
Qualifications:
- 3-5 years of hands-on experience in AI/ML or ML engineering
- Proven experience building and shipping AI/ML systems to production
- Strong experience with LLMs and GenAI, including RAG and prompt engineering
- Hands-on use of LangChain, OpenAI / Azure OpenAI, Hugging Face, or similar
- Advanced Python skills and ML libraries (PyTorch, TensorFlow, scikit-learn)
- Experience with cloud-based ML systems (Azure preferred)
- Working knowledge of MLOps (CI/CD, versioning, monitoring)
- Strong problem-solving skills and a delivery-focused mindset
Competencies:
Communication proficiency/coaching, organizational skills, initiative, team player, decision making, time management, thoroughness, etc.
Supervisory Responsibility:
This role does not have any supervisory responsibility upon hiring.
Physical Demands:
- Spends the majority of the workday seated
- Uses a computer, keyboard, mouse, and telephone
- Performs repetitive hand/wrist movements
Position Type/Expected Hours of Work:
This is a full-time salary position, and hours/days of work are decided by production schedules and your reporting manager.
Travel:
Travel will be moderate and would be primarily local during the business day.
Preferred Education and Experience:
- Operating LLM systems at scale (latency, reliability, cost)
- Spark or large-scale data processing
- Manufacturing or operational data domain
Work Authorization/Security Clearance:
Must be legally authorized to work in the United States.
Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the Team Member for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Pay Group : AAP/EEO Statement:
Lippert provides equal employment opportunity to all team members and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, ancestry, age, genetic information, disability, citizen status, protected veteran status, military service, marital status or any other legally protected category as established by federal, state, or local law. This policy governs all employment decisions, including recruitment, hiring, job assignment, compensation, training, promotion, discipline, transfer, leave-of-absence, access to benefits, layoff, recall, termination and other personnel matters. All employment and personnel-related decisions are based solely upon legitimate, job-related factors, such as skill, ability, past performance, and length of service with Lippert.
Lippert’s strong commitment to equal employment opportunity requires a commitment by each individual team member. Compliance with the letter and spirit of this policy is required of all team members. Violations of this policy should be immediately reported to your leader or to any member of leadership. Team members who violate this policy will be subject to disciplinary action, up to and including termination of employment.
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