Sr AI Application Developer
External
Ritehite · Usa-wi-corporate HeadquartersPrepare for this interview
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Requirements
- 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.
Benefits
Additional Information
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.
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