DNI is seeking an AI Developer/Engineer to support an Artificial Intelligent Support Services program. This is a fully-remote opportunity.
The AI Developer/Engineer designs, develops, integrates, and supports production-ready artificial intelligence and machine learning solutions. This role works closely with software engineers, data scientists, product owners, and business stakeholders to translate mission and business needs into reliable, scalable, and maintainable AI-enabled applications.
Key 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.
RequirementsRequired Qualifications
- 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.
Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Benefits
Benefits Include:
- 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
Skills Required
- Bachelor's degree in computer science, software engineering, AI, ML, data science, mathematics, or related field (or equivalent experience)
- Five or more years of experience in software development, machine learning engineering, data engineering, or related discipline
- Proficiency in Python
- Experience with at least one additional language (JavaScript, TypeScript, Java, or R)
- Hands-on experience with machine learning concepts, model development, evaluation, and performance improvement
- Experience with ML/deep-learning frameworks (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 (Azure, AWS, or Google Cloud)
- Experience with data preparation, feature engineering, structured and unstructured data, and data-quality practices
- Experience with Terraform or comparable infrastructure-as-code tools
- 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 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 MLOps
- 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
What We Do
DNI (Delaware Nation Industries) is the parent organization for all Information Technology focused businesses owned by the Delaware Nation. Founded in 2014 DNI was created to support the rapid growth of the tribe’s first 8(a) technology firm, Indigenous Technologies, LLC. In 2011 Indigenous Technologies began several teaming partnerships with CSI, LLC. and was awarded 4 prime contracts with federal customers as a result of this arrangement. This partnership continued through the Fall of 2014 when DNI purchased CSI adding its capabilities and past performance to the growing Tribal IT Services division. As a result of this strategic acquisition by the Delaware Nation, CSI became the second Tribally owned technology focused LLC in the Delaware Nation portfolio. The third company under DNI operations is CreativeIT, LLC. CreativeIT is being built with an eye to the future and is focused on developing core competencies which supplement the strong capabilities of its sister organizations. DNI continues to build a strong team of companies, providing an all-inclusive suite of Information Technology services and capabilities to our clients.
