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
Preferred Qualifications- 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.
BenefitsBenefits 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
