AI Developer/Engineer

DNI (Delaware Nation Industries) is seeking an AI Developer/Engineer to support an Artificial Intelligent Support Services program through a fully remote opportunity. The role designs, develops, integrates, and supports production-ready artificial intelligence and machine learning solutions, collaborating with technical and business stakeholders to build reliable, scalable, and secure AI-enabled applications.

Responsibilities:

• 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 such as 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 for use in AI and machine learning solutions
• Select appropriate algorithms, models, frameworks, and evaluation methods based on solution requirements
• 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 environments
• Build application components, APIs, services, and integrations that expose AI functionality securely and effectively
• Implement automated testing, version control, configuration management, and repeatable deployment practices
• Support infrastructure-as-code and cloud deployment activities using tools such as Terraform or comparable technologies
• Contribute to CI/CD pipelines for application, data, and model delivery
• Implement logging, monitoring, observability, and operational checks for AI-enabled systems
• Identify and address issues involving data quality, model drift, bias, hallucinations, performance, security, and maintainability
• Document model designs, data sources, experiments, evaluation results, assumptions, limitations, operating procedures, and known risks
• Participate in Agile ceremonies, sprint planning, demonstrations, retrospectives, peer reviews, and technical working sessions
• Communicate technical findings and recommendations to both technical and non-technical stakeholders
• Follow applicable 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 experience with 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 one or more 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
• Experience with generative AI, large language models, prompt engineering, embeddings, vector search, or retrieval-augmented generation
• Experience deploying AI solutions in regulated, public-sector, healthcare, financial-services, or other mission-critical environments
• Experience with Azure, AWS, or Google Cloud AI and machine learning services
• Experience with Docker, Kubernetes, serverless services, or event-driven architectures
• Experience with model monitoring, explainability, responsible AI, AI security, or ML operations
• Experience with relational databases, SQL, REST APIs, and modern web application development
• Experience designing accessible user experiences and validating Section 508 or WCAG conformance
• Experience working in Agile or Scrum teams