Fully Remote Senior Developer​/AI Engineer

Position Title: Fully Remote Senior Developer / AI Engineer

Location: Remote, United States

Client: Long-Term Federal Government Program

Employment Type: Full-Time | Contract

Work Authorization: U.S. Citizenship Required

Security Requirement: Must be eligible to obtain and maintain a favorably adjudicated Federal Public Trust suitability determination

Anticipated Start: October 2026

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

The successful candidate will work across the full lifecycle of enterprise AI solutions, including generative AI, retrieval-augmented generation (RAG), chatbots and virtual assistants, predictive analytics, document processing, anomaly and fraud detection, data science workloads, and AI-enabled automation.

• Design, develop, evaluate, and optimize machine learning models, algorithms, and production-ready AI solutions.

• Analyze large and complex datasets, perform feature engineering, and extract actionable insights to support model development.

• Develop, tune, and improve AI/ML model performance, accuracy, scalability, and maintainability.

• Collaborate with Data Scientists and Software Engineers to integrate AI/ML models into production systems.

• Build and support AI solutions such as predictive models, RAG applications, chatbots, document processing, fraud detection, and optimization solutions.

• Develop and maintain AI/ML engineering workflows using Python, R, or JavaScript, along with Terraform, CI/CD pipelines, and Git-based source control.

• Integrate observability, monitoring, logging, and performance-management capabilities into AI/ML solutions.

• Document AI/ML models, experiments, configurations, performance results, deployment processes, and engineering procedures.

• 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.

• Generative AI
• Machine Learning
• Deep Learning
• Predictive Modeling
• Supervised Learning
• Unsupervised Learning
• Model Evaluation
• Model Tuning
• Anomaly Detection
• Fraud Detection
• Routing and Optimization
• Workload Forecasting

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

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

• Python
• R
• Java Script
• Full-stack web development technologies

• Large Language Models
• Deep Learning Frameworks
• Azure OpenAI
• Azure Machine Learning
• AWS Sage Maker
• Google Vertex AI
• Generative AI frameworks
• RAG architectures

• Terraform
• Git
• CI/CD Pipelines
• Infrastructure as Code
• Dev Sec Ops
• Automated Testing
• Deployment Automation

• Microsoft Azure
• Amazon Web Services
• Google Cloud Platform

• REST APIs
• Relational Databases
• Observability Tools
• Testing Frameworks
• Logging and Monitoring
• Application Performance Monitoring
• Software Architecture

• Full-time position.
• Primary place of performance is virtual.
• Work will support a Federal Government program.
• Standard working hours are expected to align with U.S. Eastern Time business hours.
• Occasional work…