Position Title: Fully Remote Senior Developer / AI Engineer
Location: Remote, United States
Client: Long-Term Federal Government Program
Employment Type: Full-Time | Contract
Work Authorization: U.S. Citizenship Required
Security Requirement: Must be eligible to obtain and maintain a favorably adjudicated Federal Public Trust suitability determination
Anticipated Start: October 2026
How to Apply: Email your resume: [email protected] Job Summary WINTrio LLC is seeking an experienced Senior Developer / AI Engineer to design, develop, integrate, optimize, and operationalize Artificial Intelligence and Machine Learning solutions supporting mission-critical Federal Government programs.
The successful candidate will work across the full lifecycle of enterprise AI solutions, including generative AI, retrieval-augmented generation (RAG), chatbots and virtual assistants, predictive analytics, document processing, anomaly and fraud detection, data science workloads, and AI-enabled automation.
Key Responsibilities - Design, develop, evaluate, and optimize machine learning models, algorithms, and production-ready AI solutions.
- Analyze large and complex datasets, perform feature engineering, and extract actionable insights to support model development.
- Develop, tune, and improve AI/ML model performance, accuracy, scalability, and maintainability.
- Collaborate with Data Scientists and Software Engineers to integrate AI/ML models into production systems.
- Build and support AI solutions such as predictive models, RAG applications, chatbots, document processing, fraud detection, and optimization solutions.
- Develop and maintain AI/ML engineering workflows using Python, R, or JavaScript, along with Terraform, CI/CD pipelines, and Git-based source control.
- Integrate observability, monitoring, logging, and performance-management capabilities into AI/ML solutions.
- Document AI/ML models, experiments, configurations, performance results, deployment processes, and engineering procedures.
Required Qualifications - 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.
Technical Areas AI / ML - Generative AI
- Machine Learning
- Deep Learning
- Predictive Modeling
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Model Tuning
- Anomaly Detection
- Fraud Detection
- Routing and Optimization
- Workload Forecasting
Generative AI and RAG - Retrieval-Augmented Generation
- Large Language Models
- Chatbots
- Virtual Assistants
- Prompt Engineering
- Semantic Search
- Document Summarization
- Document Translation
- Enterprise Search
Data Science - Data Preprocessing
- Feature Engineering
- Statistical Analysis
- Complex Dataset Analysis
- Model Performance Evaluation
- Data Quality
- Predictive Analytics
Tools and Platforms Programming - Python
- R
- JavaScript
- Full-stack web development technologies
AI / ML - Large Language Models
- Deep Learning Frameworks
- Azure OpenAI
- Azure Machine Learning
- AWS SageMaker
- Google Vertex AI
- Generative AI frameworks
- RAG architectures
Infrastructure and DevOps - Terraform
- Git
- CI/CD Pipelines
- Infrastructure as Code
- DevSecOps
- Automated Testing
- Deployment Automation
Cloud Platforms - Microsoft Azure
- Amazon Web Services
- Google Cloud Platform
Software Engineering - REST APIs
- Relational Databases
- Observability Tools
- Testing Frameworks
- Logging and Monitoring
- Application Performance Monitoring
- Software Architecture
Work Environment - Full-time position.
- Primary place of performance is virtual.
- Work will support a Federal Government program.
- Standard working hours are expected to align with U.S. Eastern Time business hours.
- Occasional work outside normal business hours may be required based on program requirements.
- All work must be performed within the United States.
WINTrio 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
Growth Opportunities This position offers hands-on experience supporting a long-term Federal Government program using enterprise-scale AI technologies. Team members will contribute to the design, development, deployment, modernization, integration, and support of AI solutions across enterprise platforms.
