AWS AI Engineer

Hudson Manpower is seeking an accomplished AWS AI Engineer to lead hands-on development of retrieval-augmented generation solutions and refine large language models. This senior role, based in Richmond, Virginia with remote work flexibility, focuses on deploying AWS-native microservices to advance automation and governance in production environments. The ideal candidate brings a strong Python background and a proven ability to translate complex requirements into scalable AI systems on AWS.

Responsibilities

• Engage hands-on with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to build and deploy AI-enabled solutions.
• Design and implement AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities.
• Develop and deploy LLM-based applications, including Retrieval-Augmented Generation (RAG) workflows using LangChain and related frameworks.
• Create cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
• Collaborate with internal stakeholders to map business goals into secure, scalable AI architectures.
• 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.
• Produce and maintain technical documentation for the team and internal customers.
• Demonstrate excellent verbal and written communication in English.

Requirements

• Minimum of 7 years of hands-on software engineering experience with a strong emphasis on Python.
• Proficiency with AWS services, particularly Bedrock or SageMaker.
• Experience fine-tuning large language models or building datasets and deploying ML models to production.
• Solid background with AWS organizations and policy guardrails (SCP, AWS Config).
• Proven experience implementing RAG architectures and using LangChain.
• Strong IaC practices and experience building Terraform modules for AWS cloud environments.
• Robust background in Git-based version control, code reviews, and DevOps workflows.
• History of delivering production-ready software with integrated release pipelines.

Technologies

• Bedrock, SageMaker, ECS, Lambda, Step Functions, DynamoDB, S3
• LangChain, Transformers, PyTorch, TensorFlow
• Terraform, AWS ecosystem, Terraform Sentinel
• Hugging Face, Node.js, Golang
• Git

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
• Eligibility for referral bonuses

What you’ll get

• 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
• Eligibility for referral bonuses