AWS AI Engineer

Hudson Manpower is seeking a Senior AWS AI Engineer to architect and operate production AI/ML workloads on AWS, with an emphasis on retrieval-augmented generation, fine-tuning large language models, and cloud-native microservices. The role delivers scalable, secure AI services that integrate with live infrastructure data. Location: Pittsburgh, PA with remote work options.

Responsibilities

• Hands-on development and operation of AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
• Design and implement AWS cloud services across infrastructure, machine learning, and AI platform offerings.
• Work with LLM based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.
• Build cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
• Collaborate with internal stakeholders to translate business goals into secure, scalable AI solutions.
• Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
• Contribute to the development and evolution of reusable platform components for AI/ML operations.
• Create and maintain technical documentation for the team and internal customers.

Requirements

• Seven years of hands-on software engineering experience with a strong focus 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 such as SCP and AWS Config.
• Solid background implementing RAG architectures and using LangChain.
• Practices in Infrastructure as Code and building Terraform modules for AWS cloud.
• Strong Git-based version control, code reviews, and DevOps workflows.
• Proven success delivering production-ready software with release pipeline integration.

Technologies

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

Benefits

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

Top Skills

• AWS services including Bedrock, SageMaker, ECS, and Lambda
• Experience with AWS Organizations and policy guardrails (SCP, AWS Config)
• Proficiency in implementing RAG architectures and using ML tooling such as Transformers, PyTorch, TensorFlow, and LangChain
• Infrastructure as Code practices and building Terraform modules for AWS
• Fine-tuning large language models, building datasets, and deploying ML models to production
• Git-based version control, code reviews, and DevOps workflows
• AWS or other cloud certifications
• Data privacy and compliance best practices (PII handling, secure model deployment)
• Background in data science or experience with structured and unstructured data
• Exposure to FinOps and cloud cost optimization
• Hugging Face and Node.js experience
• Policy as Code development (Terraform Sentinel)