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Remote
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AI Engineer
Horizontal TalentMinneapolis, MN🇺🇸United StatesPosted 7 Aug 2026
Quick Overview
Salary
$95k - $150k/yr
Work Type
Remote
Level
Mid Senior
Job Description
Join a dynamic AI Center of Excellence as an AI Engineer, where you'll help shape innovative solutions that improve user experiences, automate workflows, and support cross-functional teams across the organization. This remote opportunity is ideal for a hands-on engineer who thrives in a collaborative environment and enjoys building practical, scalable AI and machine learning solutions.
Responsibilities
We are committed to fostering a workplace where inclusion, equity, and belonging are valued and supported. We welcome candidates with a wide range of backgrounds and experiences, and we encourage individuals who are passionate about building responsible, impactful AI solutions to apply.
By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
Please apply through this online posting or by visiting our Job Board at Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $95,000 - $150,000 per year based on qualifications and experience.
Responsibilities
- Design, develop, and deploy AI, machine learning, generative AI, and agentic AI solutions that solve domain-specific business challenges
- Build and support workflows that extract complex, unstructured, and multimodal content into accurate structured data using cloud-based document processing tools
- Create and maintain interoperable AI agents and components using Model Context Protocol (MCP) and related frameworks
- Develop automated testing approaches for large language model solutions, including regression test suites to help identify prompt issues and model drift
- Integrate AI applications with internal and external services using secure authentication and authorization practices
- Apply responsible AI practices to help protect solutions from prompt injection, jailbreaks, and other security risks
- Build and maintain end-to-end ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring in cloud environments
- Collaborate with data scientists, architects, product managers, and business stakeholders to align technical solutions with organizational goals
- Provide technical guidance, hands-on support, and mentorship to teams across the enterprise
- Create reusable tools, frameworks, and best practices that help accelerate AI development and adoption
- Bachelor's degree in computer science, engineering, or a related field
- At least 3 years of experience designing and deploying real-world AI or machine learning solutions
- Strong Python development skills
- Hands-on experience with LLM APIs such as OpenAI, Azure OpenAI, Gemini, or Anthropic
- Practical experience with prompt engineering, context construction, grounding strategies, and retrieval-augmented generation (RAG)
- Ability to work with unstructured content from sources such as email, documents, PDFs, and webpages
- Experience building REST APIs and integrating with internal and external APIs
- Knowledge of machine learning algorithms, deep learning frameworks, cloud AI technologies, and emerging agentic AI technologies
- Experience with AWS services such as Lambda, Bedrock, Step Functions, API Gateway, IAM, SageMaker, ECS, and S3
- Understanding of MLOps practices, including CI/CD, model versioning, and model monitoring
- Experience with SQL, data engineering, and feature engineering
- Strong communication skills with the ability to explain technical ideas to both technical and non-technical audiences
- Familiarity with enterprise data privacy, AI governance, and observability practices
- Master's degree in a related technical field
- Experience with agentic AI frameworks
- Experience with intelligent document processing and/or OCR technologies
- Knowledge of Google A2A
- Experience with observability tools for AI or GenAI environments, such as Dynatrace or similar platforms
- Experience working in highly regulated industries such as healthcare or finance
- Familiarity with Docker, Airflow, Kubeflow, Git, Jira, and Confluence
- Cloud provider certifications in AI or machine learning
- Contributions to open-source AI/ML projects or published research
We are committed to fostering a workplace where inclusion, equity, and belonging are valued and supported. We welcome candidates with a wide range of backgrounds and experiences, and we encourage individuals who are passionate about building responsible, impactful AI solutions to apply.
By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
Please apply through this online posting or by visiting our Job Board at Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $95,000 - $150,000 per year based on qualifications and experience.
Skills
Docker
SQL
API Gateway
AWS
MLOps
Machine Learning
Airflow
Azure
Confluence
Deep Learning
Generative AI
Git
Jira
LLM
Python
REST
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