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Applied AI Engineer

MiView Integrated Solutions -
Carrollton, TX

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Job Details

Full-time
$110,000 - $130,000 a year

Benefits

Health insurance
Dental insurance
Paid time off
Vision insurance

Qualifications

AI models
TensorFlow
Software engineering
Data modeling
SQL
Pandas
Analysis skills
Machine intelligence
Implementing APIs
Machine learning libraries
Machine learning frameworks
Python
Generative AI

Full Job Description

About the Role

We are looking for an Applied AI Engineer to help build the next generation of AI-powered analytics, reporting, forecasting, anomaly detection, and decision-support systems. This role sits at the intersection of artificial intelligence, machine learning, data engineering, and backend development. You will work closely with product and engineering teams to build production-grade AI solutions that analyze large datasets, generate insights, forecast trends, detect anomalies, and support intelligent decision-making. This is a hands-on engineering role focused on building and deploying AI-powered products rather than conducting academic research.

Responsibilities

- AI & LLM Systems

Build and maintain AI-powered analytics and reporting solutions
Develop LLM-based workflows, agents, and reasoning pipelines
Improve AI accuracy, reliability, and observability
Develop evaluation frameworks for AI-generated outputs
Implement retrieval, function-calling, and structured-output architectures
Monitor and reduce hallucinations and model failures
Collaborate with QA and engineering teams to define AI testing strategies

- Machine Learning & Predictive Analytics

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 solutions that help users understand model predictions
Evaluate and improve model performance using industry best practices

- Data Engineering & Analytics

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

- Backend Engineering

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

- Future Initiatives

Computer vision and image analysis solutions
Automated issue detection from inspection photos
Predictive maintenance and risk scoring
Recommendation systems
Multi-agent AI workflows
Advanced analytics and forecasting platforms

Required Qualifications

3+ years of professional software engineering experience
3+ years of Python development experience
Experience building production software applications
Strong SQL skills and experience 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

Preferred Qualifications

Experience with Generative AI and LLM applications
Experience with OpenAI, Anthropic, or open-source AI models
Experience with forecasting and time-series modeling
Experience with anomaly detection systems
Experience with computer vision and image analysis
Experience with Docker and Kubernetes
Experience with Azure or other cloud platforms
Experience with vector databases and retrieval systems
Experience with model monitoring and AI observability

What Success Looks Like

- Within the first year, you will help:

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 is someone who can build production software while also contributing to machine learning and AI initiatives. They are comfortable working across backend engineering, data engineering, analytics, and AI systems, and are excited about building intelligent products that deliver measurable business value.

Pay: $110,000.00 - $130,000.00 per year

Benefits:

Dental insurance
Health insurance
Paid time off
Vision insurance

Application Question(s):

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

Quick Apply

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