[Hiring] Senior Developer / AI Engineer @Wintrio

Role Description

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
• AI-enabled automation

Key Responsibilities:

• 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.

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.

Requirements

• Technical Areas:
• AI / ML
• 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
• Generative AI and RAG
• Retrieval-Augmented Generation
• Large Language Models
• Chatbots
• Virtual Assistants
• Prompt Engineering
• Semantic Search
• Document Summarization
• Document Translation
• Enterprise Search
• Data Science
• Data Preprocessing
• Feature Engineering
• Statistical Analysis
• Complex Dataset Analysis
• Model Performance Evaluation
• Data Quality
• Predictive Analytics

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