Sr AI/ML Full Stack Engineer

Rochester, MN, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
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Job Details

Skills

  • PASS
  • Large Language Models (LLMs)
  • Unstructured Data
  • Interfaces
  • Data Integration
  • Workflow
  • RESTful
  • Authorization
  • Integration Testing
  • Software Engineering
  • Version Control
  • Testing
  • Performance Tuning
  • Python
  • SQL
  • Generative Artificial Intelligence (AI)
  • Prompt Engineering
  • Semantic Search
  • Natural Language Processing
  • Evaluation
  • Backend Development
  • Authentication
  • Continuous Integration
  • Continuous Delivery
  • Git
  • Automated Testing
  • Release Management
  • Google Cloud Platform
  • Google Cloud
  • OCI
  • Application Development
  • Software Development
  • Enterprise Software
  • Communication
  • Collaboration
  • Microsoft Azure
  • Vertex
  • Amazon Web Services
  • Amazon SageMaker
  • Snow Flake Schema
  • Docker
  • Terraform
  • Cloud Computing
  • Machine Learning Operations (ML Ops)
  • DevOps
  • Health Care
  • Life Sciences
  • Privacy
  • Regulatory Compliance
  • Data Governance
  • Statistics
  • Applied Mathematics
  • Computer Science
  • Data Science
  • Artificial Intelligence
  • Machine Learning (ML)
  • Biomedical Engineering

Summary

*Must pass a drug test and background check once offered position*

Position Overview
We are seeking a Senior AI/ML Full Stack Engineer to design, build, evaluate, and deploy production-grade AI/ML and Generative AI solutions. This role combines hands-on AI/ML engineering with full-stack application development, cloud-native deployment, and MLOps/DevOps practices.
The engineer will develop end-to-end AI-enabled applications incorporating large language models (LLMs), machine learning, document intelligence, semantic search, APIs, structured and unstructured data, and modern user interfaces.

Key Responsibilities
  • Design, develop, evaluate, and deploy production-grade Generative AI, LLM, and machine learning applications.
  • Build LLM-powered assistants, document intelligence solutions, semantic search capabilities, embedding pipelines, and AI-enabled enterprise applications.
  • Develop document ingestion, processing, chunking, retrieval, and data integration workflows.
  • Implement prompt engineering, query expansion, citation generation, and retrieval-augmented AI capabilities.
  • Develop evaluation frameworks measuring answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy.
  • Implement AI safety and Responsible AI controls, including guardrails, content moderation, blocked topics, and escalation logic.
  • Build responsive front-end applications, backend services, RESTful APIs, authentication/authorization, and integrations with AI/ML services.
  • Design and maintain CI/CD pipelines using Azure DevOps for automated builds, testing, security validation, and deployment.
  • Implement automated unit and integration testing, environment configuration, branching strategies, release management, and deployment automation.
  • Containerize and deploy applications using Docker and cloud-native technologies.
  • Establish production monitoring, logging, observability, performance tracking, and troubleshooting for AI models and applications.
  • Apply strong software engineering and MLOps practices including modular architecture, reusable components, version control, code reviews, testing, security, and performance optimization.
  • Collaborate with product owners, business stakeholders, architects, DevOps engineers, security teams, and other technical teams throughout the development lifecycle.
  • Translate business requirements into secure, scalable, measurable, and maintainable technical solutions.

Required Qualifications
  • Strong hands-on development experience with Python and SQL.
  • Proven experience building and deploying production-grade Generative AI and LLM applications.
  • Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citation generation.
  • Experience developing, evaluating, deploying, and monitoring ML/NLP models.
  • Understanding of LLM evaluation techniques including relevance, faithfulness, hallucination reduction, and citation accuracy.
  • Experience implementing AI safety guardrails and Responsible AI controls.
  • Strong full-stack development experience, including modern front-end frameworks, backend development, REST APIs, authentication, and application integrations.
  • Experience building CI/CD pipelines with Azure DevOps.
  • Strong knowledge of Git, automated testing, build/deployment pipelines, release management, and environment configuration.
  • Experience with at least one major cloud platform: Azure, Google Cloud Platform, AWS, or OCI.
  • Experience with containerized application development and deployment using Docker.
  • Experience designing and integrating APIs and AI/ML services into enterprise applications.
  • Experience with production monitoring, logging, observability, troubleshooting, and application/model performance tracking.
  • Strong understanding of secure software development, data privacy, and enterprise application development practices.
  • Strong communication and cross-functional collaboration skills.

Experience with several of the following technologies is preferred:
  • Azure DevOps
  • Vertex AI
  • AWS Bedrock
  • Amazon SageMaker
  • BigQuery
  • Snowflake
  • OpenSearch
  • Cloud Run
  • Docker
  • Airflow
  • Terraform
  • Comparable cloud, AI/ML, MLOps, and DevOps technologies

Preferred Experience
  • Experience developing AI solutions using healthcare, clinical, claims, life sciences, regulatory, or other complex enterprise data.
  • Experience taking AI/ML solutions from prototype through production deployment and ongoing operational support.
  • Experience working in environments with significant security, privacy, compliance, and data governance requirements.

Education
  • Bachelor's degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field.
  • Master's degree or higher preferred in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Engineering, or a related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10123528
  • Position Id: 75816
  • Posted 2 hours ago

Company Info

About Horizontal Talent

Horizontal Integration offers two service lines. Our staffing agency places IT, digital and creative talent in both contract and permanent roles. Our digital agency provides digital marketing strategy and technology consulting on a project basis. Many of our clients take advantage of both service lines.

We are a certified Minority Business Enterprise, with more than 200 employees across our offices in Minneapolis, Denver, Dallas and Vadodara, India. We ve been consistently growing and profitable since the company was founded in 2003.

Honors:
Recognized as a "2009 Best Place to Work" by Minneapolis/St.Paul Business Journal.

Fact:
Our people and our organization are deeply rooted in IT and interactive marketing.

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact us. All applicants applying must be legally authorized to work in the country of employment.

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Donovan Birkholz

Recruiter @ Horizontal Talent
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