AI Developer, Engineer

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🌲 Oregon – Remote

🌲 Oregon – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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DNI (Delaware Nation Industries)

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

💼 Consulting

🏗️ Construction

📦 Logistics

Consulting • Construction • Logistics

DNI (Delaware Nation Industries) is a wholly-owned tribal organization based in Oklahoma that focuses on leveraging tribal advantages to provide a variety of non-gaming business solutions aimed at benefiting the Delaware Nation. The company offers services in enterprise IT, cabling, lighting, modular construction, and environmental solutions, catering primarily to government agencies and commercial clients. With a mission to empower its members and promote financial independence, DNI prides itself on delivering high-quality services and products across multiple functional areas while maintaining a commitment to safety and excellence.

📋 Description

• Design, develop, test, and maintain machine learning, generative AI, and data-driven applications • Translate business and user needs into technical requirements, solution designs, and implementation plans • Develop and integrate AI capabilities including natural language processing, retrieval-augmented generation, chatbots, document processing, classification, forecasting, anomaly detection, and recommendation services • Prepare, clean, transform, and analyze structured and unstructured data • Select algorithms, models, frameworks, and evaluation methods • Tune models and prompts to improve accuracy, relevance, reliability, latency, and cost efficiency • Collaborate with data scientists and software engineers to move prototypes and models into production • Build application components, APIs, services, and integrations that securely expose AI functionality • Implement automated testing, version control, configuration management, and repeatable deployment practices • Support infrastructure-as-code and cloud deployment activities • Contribute to CI/CD pipelines for application, data, and model delivery • Implement logging, monitoring, observability, and operational checks • Address data quality, model drift, bias, hallucinations, performance, security, and maintainability issues • Document model designs, data sources, experiments, evaluation results, assumptions, limitations, operating procedures, and risks • Participate in Agile ceremonies, sprint planning, demonstrations, retrospectives, peer reviews, and technical working sessions • Communicate technical findings and recommendations to technical and non-technical stakeholders • Follow security, privacy, accessibility, compliance, and data-governance requirements

🎯 Requirements

• Bachelor’s degree in computer science, software engineering, artificial intelligence, machine learning, data science, mathematics, or a related field; equivalent professional experience may be considered • Five or more years of experience in software development, machine learning engineering, data engineering, or a related discipline • Proficiency in Python and at least one additional programming language such as JavaScript, TypeScript, Java, or R • Hands-on experience with machine learning concepts, model development, evaluation, and performance improvement • Experience with AI or deep-learning frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or comparable tools • Experience developing APIs, services, or production applications that consume or provide AI functionality • Experience with Git-based development, automated testing, and CI/CD practices • Working knowledge of cloud platforms and cloud-native development patterns • Experience with data preparation, feature engineering, structured and unstructured data, and data-quality practices • Strong analytical, troubleshooting, communication, and documentation skills • Must be a US citizen and pass a governmental-level background check

🏖️ Benefits

• Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental • Matching 401K • Short- and Long-Term Disability • Paid Federal Holidays Off • Professional Development/Education Reimbursement