AI Developer ​/ Engineer – Senior Software Developer, AI & Machine Learning

Position Title:

AI Developer / Engineer - Senior Software Developer, AI & Machine Learning

Client:
Federal Government Programs

Location:

Remote (U.S.)

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.

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, Service Now, and other approved environments.

The ideal candidate possesses strong AI/ML engineering experience combined with production software development, Python programming, Infrastructure as Code, Dev Ops, 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 Sage Maker, 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.

• 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…