AI/ML Engineer

Veridic Solutions; Minneapolis (MN); On-site; USD 130,000 - 190,000; Full time

Job summary

Veridic Solutions is seeking an AI/ML Engineer to design, develop, and operationalize scalable AI/ML solutions that support digital transformation and learning initiatives. The role requires hands-on work across data pipelines, model deployment, and collaboration with cross-functional teams.

You will build production-ready AI systems using Python, cloud platforms (GCP preferred), and enterprise AI agents, while applying retrieval and evaluation techniques to ensure reliable, measurable outcomes

Qualifications

• 5+ years of experience in software development, systems integration, and enterprise implementations.

Responsibilities

• Design, develop, and deploy AI/ML applications using Python and cloud platforms (GCP preferred).
• Build and operationalize generative AI solutions, including enterprise AI agents.
• Design, implement, and optimize AI-driven tools and automation pipelines for production use.
• Apply prompt engineering and model interaction strategies to improve accuracy and reliability.
• Design and implement Retrieval-Augmented Generation (RAG) architectures.
• Partner with data engineering teams to develop robust data pipelines and integrate AI services.

Skills

Python

TensorFlow

PyTorch

NumPy

Pandas

API Development

GCP

AWS

Azure

Prompt engineering

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Engineering

Tools

Jenkins

GitLab CI/CD

Terraform

Ansible

FastAPI

Flask

Job description

Job Profile Summary: The AI / ML Engineer will design, develop, and operationalize scalable artificial intelligence and machine learning solutions that support digital transformation, student success, and learning experience initiatives. This role is responsible for developing production-ready AI systems, partnering with cross-functional teams, and contributing to the enterprise AI strategy.

The ideal candidate is hands-on, analytical, and outcome-driven, with the ability to translate complex problems into practical, and impactful AI solutions.

Job Description

Essential Duties and Responsibilities:

• Design, develop, and deploy advanced AI/ML applications using Python and cloud platforms ( GCP preferred).
• Build and operationalize generative AI solutions, including enterprise AI agents and multi-agent orchestration frameworks.
• Design, implement, and optimize AI-driven tools, applications, and automation pipelines for scalable production use.
• Apply prompt engineering and model interaction strategies to improve accuracy, reliability, and usability of generative AI systems.
• Design and implement Retrieval-Augmented Generation (RAG) architectures leveraging institutional and domain-specific data.
• Evaluate AI system performance using qualitative and quantitative metrics and incorporate feedback for continuous improvement.
• Partner with data engineering teams to develop robust data pipelines and integrate AI services into enterprise platforms.
• Collaborate with software engineers, QA, product owners, business analysts, and agile teams to deliver AI-enabled features.
• Produce and maintain technical documentation explaining system design, behavior, and recommendations for both technical and non-technical audiences.
• Participate in sprint planning, code reviews, and cross-team design discussions.
• Contribute recommendations to AI strategy, governance, and quality frameworks.
• Job Skills:

Core Technical Skills

• Advanced Python programming for AI/ML development, including TensorFlow, PyTorch, NumPy, Pandas
• API and service development using FastAPI or Flask
• Experience with cloud-native AI architectures ( GCP preferred; AWS/Azure acceptable)

Generative AI & Agentic Systems

• Design and deployment of generative AI applications integrated into enterprise software products
• Experience building enterprise-grade AI agents and multi-agent orchestration systems
• Familiarity with enterprise-ready agentic AI SDKs and frameworks

RAG & LLM Technologies

• Hands-on experience with RAG architectures and vector databases
• Experience working with LLMs, prompt engineering, and model evaluation techniques

Software Engineering & DevOps

• CI/CD pipeline implementation and maintenance using Jenkins or GitLab CI/CD
• Infrastructure-as-code experience with Terraform and/or Ansible

Professional Skills

• Strong problem-solving and systems-thinking skills
• Effective communication with both technical and non-technical stakeholders
• Self-directed, adaptable, and comfortable working in fast-paced environments
• Work Experience:
• 5+ years of experience in software development, systems integration, and enterprise implementations
• Hands-on experience evaluating and monitoring AI/LLM systems in production, including observability and performance frameworks
• Experience with cloud platforms and managed AI services (GCP preferred)
• Experience applying AI solutions in education, digital learning, or regulated environments preferred
• Demonstrated ability to lead technically complex initiatives independently
• Education:
• Bachelor's degree in Computer Science, Data Science, Engineering, or other technical field.
• All degrees must be conferred from an institution accredited by an accrediting agency recognized by the U.S. Department of Education.