[Remote] AI Developer / Engineer - Senior Software Developer, AI & Machine Learning

Note: The job is a remote job and is open to candidates in USA. WINTrio LLC provides technical and professional services to federal and commercial customers. The company is seeking a Senior AI Developer/Engineer to design, develop, optimize, integrate, and operationalize artificial intelligence and machine learning solutions for mission-critical Federal programs. The role covers enterprise AI solution lifecycle activities, including model development, production integration, cloud deployment, CI/CD, observability, and operational support.

Responsibilities

• Design and develop machine learning models, algorithms, and production AI solutions
• Implement, optimize, tune, and improve AI and ML solutions for performance, reliability, scalability, and accuracy
• Develop supervised and unsupervised machine learning models supporting predictive analytics, anomaly detection, fraud detection, workload forecasting, routing, and optimization
• Build and support retrieval-augmented generation (RAG) applications, generative AI solutions, and chatbot services
• Develop AI solutions using Azure OpenAI and comparable other AI services
• Support predictive modeling using Azure Machine Learning, AWS SageMaker, GCP Vertex AI, or other approved platforms
• Develop document translation, summarization, and processing solutions using cloud-native AI services
• Collaborate with Data Scientists and Software Engineers to integrate AI and ML models into production applications
• Analyze large and complex datasets to generate actionable insights
• Perform data preprocessing, feature engineering, model evaluation, and statistical analysis
• Develop, evaluate, and tune AI models using appropriate algorithms and datasets
• Integrate trained models with front-end, middleware, API, and back-end application components
• Develop reusable AI engineering patterns across cloud and SaaS environments
• Support onboarding and refactoring of externally developed AI applications into enterprise AI environments
• Develop and maintain CI/CD pipelines supporting AI applications and model deployment
• Manage Git-based source code repositories and development workflows
• Implement Infrastructure as Code using Terraform and related tooling
• Integrate observability, logging, metrics, and monitoring capabilities into AI engineering workflows
• Document AI/ML models, experiments, configurations, performance metrics, deployment procedures, and operational processes
• Support security boundary, ATO, data management, access control, and AI governance requirements
• Participate in Agile sprints, demonstrations, testing, debugging, and production support

Skills

• * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• * Five (5) to ten (10) years of relevant AI, Machine Learning, software engineering, or application development experience
• * Hands-on experience designing and developing machine learning models and algorithms
• * Strong understanding of machine learning principles and modern AI technologies
• * Experience implementing, evaluating, tuning, and optimizing AI/ML solutions
• * Experience integrating machine learning models into production systems
• * Experience analyzing large and complex datasets
• * Familiarity with deep learning frameworks
• * Strong proficiency in Python, R, JavaScript, or related programming languages
• * Experience with Terraform or comparable Infrastructure as Code technologies
• * Expertise managing CI/CD pipelines
• * Experience with Git-based code management and version control
• * Experience integrating observability tools into AI/ML development and engineering
• * Strong analytical, testing, debugging, documentation, and problem-solving skills
• * U.S. Citizenship required
• * Ability to obtain and maintain favorable Federal Public Trust suitability
• * The primary place of performance is virtual
• * Standard operating hours are generally Monday through Friday, 8:00 AM to 4:30 PM Eastern Time
• * Occasional work outside normal business hours may be required based on program needs
• * All work must be performed within the United States
• * Experience developing enterprise RAG or chatbot applications
• * Experience with predictive analytics, fraud detection, document processing, or workload forecasting
• * Experience operating AI solutions in production cloud environments
• * Experience with Azure AI Foundry or comparable enterprise AI platforms
• * Experience onboarding and refactoring externally developed AI applications
• * Experience supporting Federal ATO, security, data governance, and access control requirements
• * Experience working within Agile and DevSecOps environments
• * Experience developing Section 508-compliant user-facing applications

Benefits

• Healthcare (Medical, Dental, and Vision)
• Flexible Spending Account (FSA) and Health Savings Account (HSA)
• 401(k) and Retirement Savings Plan
• Annual Bonus and Profit Sharing Opportunities
• Paid Time Off (PTO) and Vacation
• Employee Assistance Program (EAP)
• Life, Personal, and Voluntary Disability Insurance

Company Overview