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Sr AI Application Developer

Rite-Hite · WI · Full time

Posted Mar 5, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about an AI project that did not deliver what people expected. What did you learn?

What they are checking: Realism about AI limits and learning from failed experiments.

What would you do

A prototype impressed leadership, but it is not ready for production. How do you handle the gap?

What they are checking: Honesty about hardening work like security, scale and monitoring before launch.

How do you decide whether a problem needs an LLM at all?

What they are checking: Judgment to pick the simplest working solution rather than using AI for everything.

About the work

Walk me through a RAG solution you built on enterprise documents. How did you handle chunking, retrieval and evaluation?

What they are checking: Real depth in retrieval-augmented generation, including how they measured answer quality.

How would you build a RAG system over equipment manuals and service tickets so technicians get reliable answers?

What they are checking: Whether they can apply LLM techniques to Rite-Hite's actual data and users.

What guardrails would you put on an AI agent that can call internal APIs and update records?

What they are checking: Understanding of access control, output validation and human review for agents that take actions.

How do you reduce hallucinations, and how do you know when they are still happening?

What they are checking: Whether they rely on evaluation and grounding rather than hope when it comes to accuracy.

How would you protect sensitive ERP or customer data when using a hosted LLM?

What they are checking: Data privacy awareness and partnership with security and compliance teams.

How would you integrate an AI assistant into Salesforce for sales or service teams?

What they are checking: Practical integration skill with enterprise systems named in the posting.

How would you approach a video analysis use case, such as reviewing footage of equipment in operation?

What they are checking: Familiarity with multimodal models and the trade-offs in cost, accuracy and processing time.

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The full job description

As published by Rite-Hite.

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you’ll find innovation, stability, and the chance to grow your career as part of a team that’s always looking ahead. ESSENTIAL DUTIES AND RESPONSIBILITIES To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. • Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases. • Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases. • Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows. • Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation. • Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization. • Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications. • Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance. • Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization. • Mentor and upskill existing developers on AI concepts, patterns, and best practices. Required Skills & Experience • 5+ year of full stack development experience. • Strong software engineering background with experience building production-grade applications. • Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar. • Practical experience building RAG pipelines using vector databases and embedding models. • Experience with prompt engineering, prompt versioning, and evaluation techniques. • Solid Python experience for AI development. • Experience integrating AI services with REST APIs, microservices, and cloud-native architectures. • Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts. • Understanding of data formats such as JSON, XML, and document-based data. • Ability to translate business problems into AI-driven technical solutions. Preferred Qualifications • Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar. • Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools. • Experience implementing AI safety controls, policy enforcement, and evaluation frameworks. • Exposure to video or image models and multimodal AI use cases. • Experience working in enterprise environments with security, compliance, and change management considerations. • Prior experience mentoring or leading developers in new technical domains. What We Offer At Rite-Hite, we take care of our people – because when you’re supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work: • Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more. • Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing. • Time for You: Paid holidays, vacation time, and personal/sick days each year. Join us and build a career where you’re supported – at work and beyond. Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law. In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans. We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

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