Applied AI Engineer
Backend Developer
Ai Ml
Analytics
Artificial Intelligence
Azure Openai
Business Intelligence
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Platform
Data Processing
Data Visualization
Database
Databases
ETL
Machine Learning Engineer
Open Source Ai
Reporting and Analytics
SQL
Job Description
MiView Integrated Solutions is seeking an Applied AI Engineer in Carrollton, TX to build production-grade AI analytics, forecasting, anomaly detection, and decision-support systems across AI/ML, data engineering, and backend domains.
Responsibilities
- Design and maintain AI powered analytics and reporting platforms
- Develop LLM driven workflows, agents, and reasoning pipelines
- Enhance AI accuracy, reliability, and system observability
- Establish evaluation frameworks for AI generated outputs
- Implement retrieval augmented architectures, function calling, and structured outputs
- Monitor and reduce hallucinations and model failures
- Collaborate with QA and engineering teams to define AI testing strategies
- Develop forecasting models for business metrics and operational performance
- Build anomaly detection systems to identify data quality issues and operational risks
- Create predictive models to anticipate trends and outcomes
- Develop explainable AI solutions to help users understand model predictions
- Evaluate and improve model performance using industry best practices
- Design and optimize data models and analytical queries
- Build scalable ETL and data processing pipelines
- Ensure data quality, integrity, and reliability
- Work with large structured datasets to generate business insights
- Collaborate on KPI, reporting, and analytics frameworks
- Develop and maintain Python services and APIs
- Build reliable integrations between AI systems, databases, and business applications
- Participate in architecture discussions, code reviews, and technical planning
- Support deployment and monitoring of production AI systems
- Apply computer vision and image analysis capabilities
- Automate issue detection from inspection photos
- Implement predictive maintenance and risk scoring
- Develop recommendation systems
- Design multi-agent AI workflows
- Support advanced analytics and forecasting platforms
Requirements
- 3+ years of professional software engineering experience
- 3+ years of Python development experience
- Experience building production software applications
- Strong SQL skills with relational databases (SQL Server, PostgreSQL, MySQL, or similar)
- Experience working with Pandas and data processing workflows
- Experience developing APIs using FastAPI, Flask, or similar frameworks
- Understanding of machine learning fundamentals
- Experience working with large datasets and analytical systems
- Strong problem solving and communication skills
Technologies
- Python
- SQL Server
- PostgreSQL
- MySQL
- Pandas
- FastAPI
- Flask
- Docker
- Kubernetes
- Azure
- OpenAI
- Anthropic
- Open-source AI models
- Vector databases
- Retrieval systems
Benefits
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
What success looks like
- Improve AI accuracy and reliability
- Build forecasting and predictive analytics capabilities
- Implement anomaly detection and data quality monitoring
- Improve AI evaluation and testing frameworks
- Scale AI powered reporting and insights generation
- Contribute to future computer vision and advanced AI initiatives
Ideal candidate
- The ideal candidate can build production software while contributing to machine learning and AI initiatives across backend engineering, data engineering, analytics, and AI systems, delivering measurable business value.
Pay
- USD 110,000 - 130,000 per year
Application questions
- Will you now or in the future need Visa Sponsorship?
Location
- Carrollton, TX 75007 (Preferred)
Ability to relocate
- Carrollton, TX 75007: Relocate before starting work (Required)
Work location
- In person
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