AI Developer / Engineer

WINTrio LLC is seeking an experienced AI Developer / Engineer to design, develop, optimize, integrate, and operationalize Artificial Intelligence and Machine Learning solutions supporting mission-critical Federal programs.

This position will support the full lifecycle of enterprise AI solutions, including RAG applications, chatbots, predictive models, document processing, fraud detection, data science workloads, and AI-enabled automation. The successful candidate will develop and tune AI/ML models, integrate models into production applications, build CI/CD-enabled deployment processes, and support solutions across Azure, AWS, Google Cloud Platform, Microsoft 365, ServiceNow, and other approved environments.

The ideal candidate possesses strong AI/ML engineering experience combined with production software development, Python programming, Infrastructure as Code, DevOps, observability, and modern cloud engineering skills., * 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., * Generative AI
• Machine Learning
• Deep Learning
• Predictive Modeling
• Supervised Learning
• Unsupervised Learning
• Model Evaluation
• Model Tuning
• Anomaly Detection

Generative AI & RAG

• Retrieval-Augmented Generation
• Large Language Models
• Chatbots
• Virtual Assistants
• Prompt Engineering
• Semantic Search
• Document Summarization

Data Science

• Data Preprocessing
• Feature Engineering
• Statistical Analysis
• Model Performance Evaluation
• Complex Dataset Analysis

AI Engineering

• Model Integration
• Production AI
• Model Operationalization
• AI Application Onboarding
• AI Observability
• AI Documentation

Cloud AI Platforms

• Microsoft Azure
• Azure OpenAI
• Azure Machine Learning
• AWS SageMaker
• Google Vertex AI
• ServiceNow AI
• Microsoft 365 AI

• 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., Tools & Platforms

Programming

• Python
• R
• JavaScript

AI / ML

• Deep Learning Frameworks
• Azure OpenAI
• Azure Machine Learning
• AWS SageMaker
• Google Vertex AI

Infrastructure & DevOps

• Terraform
• Git
• CI/CD Pipelines
• Infrastructure as Code

Cloud Platforms

• Microsoft Azure
• AWS
• Google Cloud Platform

Engineering

• REST APIs
• Observability Tools
• Testing Frameworks
• Logging & Monitoring, * 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.

• 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. __________________

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

This position provides opportunities to work on enterprise Generative AI, RAG, machine learning, predictive analytics, AI engineering, cloud platforms, DevSecOps, and mission-critical Federal AI initiatives. WINTrio is an employee-driven company where technical innovation, collaboration, and continuous professional growth are fundamental to our success.