Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

AI engineer

Job

Staxa Technologies

Minneapolis, MN (In Person)

Full-Time

Posted 3 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/13/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
99
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Job Overview We are seeking an experienced AI / Machine Learning Engineer to design, build, and deploy production-grade AI systems. In this role, you will bridge the gap between AI research and scalable software engineering. You will own the lifecycle of our AI features, from initial data curation and model selection to cloud deployment and continuous monitoring.
Core Responsibilities Model Development :
Design, train, and fine-tune machine learning models, including Large Language Models (LLMs) and predictive algorithms.
System Architecture :
Build robust, scalable, and secure data pipelines and AI infrastructures to support real-time inference.
Production Deployment :
Deploy models to cloud environments using modern MLOps practices, ensuring high availability and low latency.
Optimization :
Monitor system performance, optimize inference costs, and debug complex model behaviors in production.
Collaboration :
Work closely with Product Managers, Data Engineers, and Frontend developers to integrate AI features into user-facing products.
Required Technical Skills Programming :
Advanced proficiency in Python (knowledge of C++ or Go is a plus).
Frameworks :
Deep hands-on experience with PyTorch or TensorFlow. Gen
AI / LLM
Stack :
Proven experience with libraries like Hugging Face, LangChain, or LlamaIndex, and working with vector databases (e.g., Pinecone, Milvus, Qdrant).
Data Engineering :
Strong competency in SQL and experience handling large datasets using tools like pandas or Apache Spark.
MLOps & Cloud :
Hands-on experience with cloud providers ( AWS, Google Cloud Platform, or Azure ) and containerization tools like Docker and Kubernetes .
Qualifications & Experience Education :
Bachelor s, Master s, or PhD in Computer Science, Data Science, Mathematics, or a highly quantitative field.
Experience :
5+ years of software engineering experience, with at least 3+ years dedicated to building and deploying AI/ML models in a commercial production environment.
Portfolio :
A proven track record of shipping AI features that directly impacted business metrics or user experience.