Sr. AI-ML Engineer Job Mishawaka area,Indiana USA,Software Development

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 Lang Chain, OpenAI / Azure OpenAI, Hugging Face, or similar
Advanced Python skills and ML libraries (PyTorch, Tensor Flow, 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…