7 часов назад
AI/ML Engineer (Generative AI)
105 000 - 130 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (Generative AI) (AWS/LLM/MLOps): Building production-grade machine learning, generative AI, and agentic AI solutions with an accent on RAG pipelines, MCP integrations, cloud deployment, and responsible AI. Focus on designing scalable AI/ML systems, automating multimodal document processing, testing LLM behavior, and protecting enterprise solutions against prompt injection and jailbreaks.
Location: Minneapolis, MN, United States (Hybrid)
Salary: $105,000–$130,000 per year
Company
is establishing an AI Center of Excellence that supports AI solutions across the organization.
What you will do
- Design, develop, and deploy machine learning, generative AI, and agentic AI solutions for business use cases.
- Build cloud-native AI/ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring.
- Develop RAG and multimodal document-processing workflows using platforms such as AWS Textract and Bedrock.
- Design MCP hosts, clients, and servers, as well as interoperable AI agents using MCP and Google A2A.
- Create automated LLM testing and regression suites to detect model drift and prompt breakage.
- Partner with data scientists, architects, product managers, business stakeholders, and technical teams while providing technical mentorship.
Requirements
- 3+ years of experience designing and deploying real-world ML/AI solutions.
- Strong Python skills and hands-on experience with LLM APIs, ML/AI libraries, prompt engineering, context construction, and grounding strategies.
- Experience building RAG solutions for unstructured documents, including emails, office documents, PDFs, and webpages.
- Experience with MCP, REST APIs, intelligent document processing or OCR, and enterprise API integrations.
- Deep AWS experience, including Lambda, Bedrock, Step Functions, API Gateway, IAM, SageMaker, ECS, and S3.
- Knowledge of MLOps, data engineering, SQL, feature engineering, responsible AI, governance, observability, Docker, and orchestration tools.
Nice to have
- Master’s degree in a related technical field.
- Experience with agentic AI frameworks, open-source AI/ML projects, published research, or cloud AI/ML certifications.
- Experience in highly regulated industries such as healthcare or finance.
Culture & Benefits
- Regular, full-time employment with a hybrid work arrangement.
- Medical, dental, vision, life, disability, accident, critical illness, hospital, well-being, legal, identity theft, and pet benefits.
- Retirement benefits, paid time off, holidays, leave, and incentive plans for eligible employees.
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