AWS AI Engineer

Hudson Manpower is seeking a Senior AWS AI Engineer to lead production AI and ML initiatives in a cloud-first environment. The role focuses on retrieval-augmented generation, fine-tuning large language models, and building AWS-native microservices, with responsibility for design, delivery, and governance of scalable AI services connected to live data and infrastructure. The position is based in Houston, TX with remote work options.

Responsibilities

• Develop and operate RAG systems, fine-tune LLMs, and build AWS-native microservices that enable automation, insights, and governance in an enterprise setting.
• Design and deliver scalable, secure services that bring large language models into real-world use, connecting to live infrastructure data, internal documentation, and system telemetry.
• Take a hands-on role with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
• Implement AWS cloud services across infrastructure, machine learning, and AI platform capabilities.
• Work with LLM-based applications, including Retrieval-Augmented Generation using LangChain and related frameworks.
• Develop 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 systems.
• 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.
• Demonstrate strong communication skills in English, both written and spoken.

Requirements

• Seven years of hands-on software engineering experience with a strong emphasis on Python.
• Proficient with AWS services, particularly Bedrock or SageMaker.
• Experience fine-tuning large language models or building datasets and deploying ML models to production.
• Familiarity with AWS Organizations and policy guardrails (SCP, AWS Config).
• Solid experience implementing RAG architectures and LangChain.
• Experience with Infrastructure as Code best practices and building Terraform modules for AWS.
• Strong background in Git-based version control, code reviews, and DevOps workflows.
• History of delivering production-ready software with release pipeline integration.

Technologies

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

Benefits

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

Nice-to-haves

• AWS or relevant cloud certifications
• Policy as Code development, e.g., Terraform Sentinel
• Experience with Hugging Face, Golang, or Node.js
• Exposure to FinOps and cloud cost optimization
• Data science background or experience with structured/unstructured data
• Awareness of data privacy and compliance best practices, including PII handling and secure model deployment