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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer / Engineer - **Company:** Wintrio Llc - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Component-Based Software Engineering, Microsoft Azure, Big Data, Software as a Service, Cloud Computing, Computer Programming, Continuous Integration, Data Cleansing, Data Files, Data Governance, Software Debugging, DevOps, Middleware, Fraud Prevention and Detection, R (Programming Language), Python (Programming Language), Machine Learning, Routing, Scrum Methodology, Azure Machine Learning, Search Technologies, Systems Integration, Supervised Learning, Data Logging, Google Cloud, Feature Engineering, Chatbots, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Grafana, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Backend, Git, AI Platforms, Infrastructure Automation Frameworks, Information Technology, Data Management, Machine Learning Operations, Front End Software Development, Restful APIs, Terraform, Code Restructuring, Software Version Control, Devsecops, Unsupervised Learning, Servicenow, Programming Languages - **Published:** August 19, 2026 - **Apply:** https://www.wintrio.com/careers/ai-developer-engineer-senior-software-developer-ai-machine-learning/ ## About the Role * 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. ## Description 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 ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Creating a routing app with Google Maps API from scratch](https://www.wearedevelopers.com/videos/831-creating-a-routing-app-with-google-maps-api-from-scratch) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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