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