The Applied AI Engineer role at MiView Integrated Solutions focuses on delivering production-grade AI-powered analytics, forecasting, anomaly detection, and decision-support capabilities across AI/ML, data engineering, and backend domains. This onsite position is based in Carrollton, TX.
Responsibilities
- Design and maintain AI powered analytics and reporting solutions
- Create workflows, agents, and reasoning pipelines using large language models
- Enhance AI accuracy, reliability, and observability across systems
- Develop evaluation frameworks for AI generated outputs
- Implement retrieval augmented generation, function calling, and structured-output architectures
- Monitor and mitigate 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
- Build explainable AI tools 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
- Develop computer vision and image analysis solutions
- Automate issue detection from inspection photos
- Apply predictive maintenance and risk scoring approaches
- Contribute to 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
- Proven experience building production software applications
- Strong SQL skills with relational databases such as SQL Server, PostgreSQL, MySQL, or similar
- Experience working with Pandas and data processing workflows
- Experience developing APIs using FastAPI, Flask, or similar frameworks
- Solid 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
- Improved AI accuracy and reliability across deployments
- Built forecasting and predictive analytics capabilities
- Implemented anomaly detection and data quality monitoring
- Enhanced AI evaluation and testing frameworks
- Scaled AI powered reporting and insights generation
- Contributed to future computer vision and advanced AI initiatives
Ideal candidate
The ideal candidate can deliver production software while actively contributing to machine learning and AI initiatives. They work across backend engineering, data engineering, analytics, and AI systems and are motivated to build intelligent products that deliver 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
