• Location:Cincinnati, Ohio
  Type:
  Contract
  Job #9463
  Job Title: AWS Cloud Engineer
  Duration: 12/31/25
  Location: Remote – Michigan
  We are looking for a Senior Cloud AI Software Engineer to join our Public Cloud Engineering team. In this role, you’ll help design, build, and maintain secure, scalable AI/ML solutions on AWS with a focus on production-grade infrastructure, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) systems.

SKILLS AND ABILITIES REQUIRED:

• 7+ years of hands-on software engineering experience with a strong focus on Python and GoLang.
• Deep expertise with AWS services, especially Bedrock, SageMaker, ECS and Lambda.
• Proven experience fine-tuning large language models, building datasets and deploying ML models to production.
• Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)
• Solid experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain.
• Demonstrated experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud.
• Strong background in Git-based version control, code reviews, and DevOps workflows.
• Demonstrated success delivering production-ready software with release pipeline integration.
• Excellent verbal and written communication skills in English
• AWS or relevant cloud certifications is a plus.
• Policy as Code development (I.e. Terraform Sentinel) is a plus.
• Experience with Hugging Face, Node.js is a plus.
• Exposure to FinOps and cloud cost optimization is a plus.
• Data science background or experience working with structured/unstructured data is a plus.
• Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment) is a plus.

• Hands-on role, responsible for the implementation of AWS cloud services including infrastructure, machine learning and artificial intelligence platform services.
• Engineer and deploy end-to-end AI/ML services using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3).
• Design and fine-tune LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.
• Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
• Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems.
• Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform).
• Support the development and evolution of reusable platform components for AI/ML operations.
• Create and maintain technical documentation for the team to reference and share with our internal customers.