Fully Remote Senior Developer / AI Engineer

WINTrio LLC is seeking an experienced Senior Developer / AI Engineer to support mission-critical Federal Government programs. The role designs, develops, integrates, optimizes, and operationalizes enterprise Artificial Intelligence and Machine Learning solutions across areas including generative AI, RAG, chatbots, predictive analytics, document processing, fraud detection, and automation.

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

Requirements:

• Must be a U.S. Citizen
• U.S. Citizenship Required
• Must be eligible to obtain and maintain a favorably adjudicated Federal Public Trust suitability determination
• 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
• 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
• Retrieval-Augmented Generation
• Large Language Models
• Chatbots
• Virtual Assistants
• Prompt Engineering
• Semantic Search
• Document Summarization
• Document Translation
• Enterprise Search
• Data Preprocessing
• Feature Engineering
• Statistical Analysis
• Complex Dataset Analysis
• Model Performance Evaluation
• Data Quality
• Predictive Analytics
• Python
• R
• JavaScript
• Full-stack web development technologies
• Deep Learning Frameworks
• Azure OpenAI
• Azure Machine Learning
• AWS SageMaker
• Google Vertex AI
• Generative AI frameworks
• RAG architectures
• Terraform
• Git
• CI/CD Pipelines
• Infrastructure as Code
• DevSecOps
• Automated Testing
• Deployment Automation
• Microsoft Azure
• Amazon Web Services
• Google Cloud Platform
• REST APIs
• Relational Databases
• Observability Tools
• Testing Frameworks
• Logging and Monitoring
• Application Performance Monitoring
• Software Architecture