AI Developer, Engineer

DNI (Delaware Nation Industries)

AI Developer/Engineer building production-ready machine-learning and generative-AI applications for DNI’s support-services program. Integrating models, APIs, cloud deployments, and data pipelines.

Posted 8/14/2026full-timeRemote • Oregon • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing machine learning and AI applications, with a strong focus on data preparation, model tuning, and deployment practices. Proficient in collaborating with cross-functional teams to translate business needs into technical solutions while ensuring compliance with security and data governance standards.

Highest-signal resume keywords

Machine Learning EngineeringPython ProgrammingAI Frameworks (PyTorch, TensorFlow)API DevelopmentCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingData PreparationModel EvaluationFeature EngineeringAlgorithm SelectionModel TuningData AnalysisAutomated TestingCloud Deployment

Soft Skills

Analytical SkillsTroubleshootingCommunicationDocumentation

Tools & Technologies

GitHugging FaceCI/CD PipelinesInfrastructure-as-CodeCloud Platforms

Industry Keywords

Data GovernanceComplianceAgile MethodologiesData QualityModel Drift

Tech Stack

Tools & technologies

CloudJavaJavaScriptPythonPyTorchScikit-LearnTensorflowTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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