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
- 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
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.
Equal Opportunity Employer
WINTrio LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
