Generative AI Engineer II jobs in United States
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Integris · 7 hours ago

Generative AI Engineer II

Integris is a nationally recognized leader in future-ready managed services, committed to empowering clients and employees through innovative technology solutions. The Generative AI Engineer II will design, develop, and operationalize large language model-based solutions to enhance decision-making and support new product capabilities.

Business Information SystemsCloud ManagementCloud SecurityConsultingCyber SecurityInformation TechnologyIT InfrastructureIT ManagementNetwork SecuritySoftware

Responsibilities

Architect, build, and deploy LLM-powered applications, APIs, or services
Fine-tune and optimize models (performance, accuracy, latency, cost)
Develop RAG (retrieval-augmented generation) pipelines using vector databases and embeddings
Design data pipelines, preprocessing logic, and evaluation frameworks for training and inference
Build monitoring systems to track model performance, hallucination rates, cost, drift, uptime, and usage
Evaluate emerging AI models, technologies, and platforms; recommend adoption paths
Provide technical leadership on model selection, platform architecture, and scaling approaches
Contribute to internal knowledge repositories, coding best practices, and AI enablement playbooks
Partner with internal teams (security, infrastructure, product, engineering) to integrate LLM solutions into business workflows
Mentor junior or non-technical team members on working with LLM capabilities

Qualification

AI/ML expertisePythonLLMs understandingAzure AI Engineer certificationAWS Certified Machine LearningTensorFlowPyTorchCross-functional collaborationMentoring

Required

Bachelor's or Master's degree in computer science, artificial intelligence, machine learning -OR- equivalent experience
5+ years of experience in software engineering or applied machine learning
Proficiency with Python and AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain)
Experience with deploying and managing large-scale AI systems in cloud environments
Strong understanding of LLMs, embeddings, vector databases, and RAG pipelines
Demonstrated ability to design and deliver production-grade AI solutions

Preferred

Microsoft Applied Skills: Azure AI Engineer / AI Solutions Architect
Microsoft Certified: Azure AI Engineer Associate (AI-102)
AWS Certified Machine Learning – Specialty
Google Professional Machine Learning Engineer

Benefits

Medical, Dental, and Vision Insurance
401K Retirement Plan
Minimum 4 Weeks of Paid Time Off (PTO)
Birthday PTO
Paid Holidays
Paid Time Off for Volunteering
Short-Term and Long-Term Disability Insurance
Life Insurance
Supplemental Insurance
Employee Assistance Program

Company

Integris

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Integris provides premium managed IT services and technology solutions for small to midsize organizations across the US.

Funding

Current Stage
Late Stage
Total Funding
unknown
2024-12-03Acquired
2020-01-01Private Equity

Leadership Team

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Glenn Mathis
Chief Executive Officer
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Company data provided by crunchbase