Position Title: AI Developer / Engineer - Senior Software Developer, AI & Machine Learning
Location: Remote (U.S.)
Client: Federal Government Programs
Employment Type: Full-Time | Contract
Work Authorization: U.S. Citizenship required. Candidates must be eligible to obtain and maintain a favorably adjudicated Federal Public Trust suitability determination.
How to Apply Email your resume: careers@wintrio.com
Apply online through the WINTrio Careers Portal: Job Posting: [Insert WINTrio Careers URL]
Job Summary 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.
Job 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.
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 Artificial Intelligence & Machine Learning - 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
Tools & Platforms Programming 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
Preferred Qualifications - 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.
Work Environment - Full-time position.
- 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.
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 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.
