Senior AI Engineer: Generative AI, RAG & ML (Remote)

WinTrio LLC; Northern (KY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Healthcare

FSA/HSA

401(k)

Bonus/Profit Sharing

PTO

EAP

Life Insurance

Job summary

WINTrio LLC is hiring an AI Developer/Engineer to design, develop, and operationalize AI/ML solutions for federal programs in a fully virtual setting within the United States. The role covers RAG apps, chatbots, predictive models, document processing, and fraud detection across Azure, AWS, and GCP environments.

The ideal candidate combines AI/ML engineering with production software development, Python programming, IaC, DevOps, observability, and modern cloud engineering skills. U.S.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5–10 years of 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.
• U.S. Citizenship required.
• Ability to obtain and maintain favorable Federal Public Trust suitability.

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.

Skills

Python

R

JavaScript

Terraform

Git

CI/CD Pipelines

Observability Tools

Cloud Platforms

Education

Bachelor’s or Master’s in CS/AI/ML

Tools

Azure OpenAI

Azure Machine Learning

AWS SageMaker

Google Vertex AI

Job description

WINTrio LLC is hiring an AI Developer/Engineer to design, develop, and operationalize AI/ML solutions for federal programs in a fully virtual setting within the United States. The role covers RAG apps, chatbots, predictive models, document processing, and fraud detection across Azure, AWS, and GCP environments.

The ideal candidate combines AI/ML engineering with production software development, Python programming, IaC, DevOps, observability, and modern cloud engineering skills. U.S.