AWS AI Engineer

Hudson Manpower is seeking a Senior AI AWS Engineer in Wilmington, NC with remote-friendly options. This role focuses on building production-grade AI and ML services on AWS, including retrieval-augmented generation, fine-tuning large language models, and cloud-native microservices within an enterprise setting. You’ll work hands-on to design scalable, secure AI systems that connect to live data and infrastructure, supported by a competitive compensation package and robust benefits.

Benefits

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance
• 401(k) with company match and optional profit sharing
• Paid vacation time
• Paid bench time
• Training allowance
• Referral bonuses

Responsibilities

• Apply AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to implement cloud-native AI solutions
• Own the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities
• Develop LLM based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks
• Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing
• Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems
• Own the software release lifecycle with CI/CD pipelines, GitHub-based SDLC, and infrastructure as code via Terraform
• Support the development and evolution of reusable platform components for AI/ML operations
• Create and maintain technical documentation for the team and internal customers
• Communicate effectively in English, both verbally and in writing

Requirements

• 7 years of hands-on software engineering experience with a strong emphasis on Python
• Experience with AWS services, particularly Bedrock or SageMaker
• Familiarity with fine-tuning large language models or building datasets and deploying ML models to production
• Experience with AWS Organizations and policy guardrails (SCP, AWS Config)
• Solid background in implementing Retrieval-Augmented Generation architectures and using LangChain
• Experience with Infrastructure as Code best practices and building Terraform modules for AWS
• Strong Git-based version control, code reviews, and DevOps workflows
• Track record of delivering production-ready software with integrated release pipelines
• AWS or relevant cloud certifications
• Data privacy and compliance best practices (PII handling, secure model deployment)
• Data science background or experience working with structured and unstructured data
• Exposure to FinOps and cloud cost optimization
• Experience with Hugging Face and Node.js
• Policy as Code development experience (Terraform Sentinel)

Technologies

• Python, Bedrock, SageMaker
• ECS, Lambda, Step Functions
• DynamoDB, S3
• LangChain, Transformers, PyTorch, TensorFlow
• Terraform, Terraform Sentinel
• GitHub, Hugging Face
• Node.js, Golang
• AWS Config, SCP, AWS Organizations