AWS AI Engineer

Hudson Manpower is seeking a senior AWS AI Engineer to join their San Jose area team with remote work options. The role centers on hands-on development of AI and ML applications in AWS, with a focus on retrieval-augmented generation (RAG), fine-tuning large language models, and building AWS-native microservices to support enterprise automation and governance.

Responsibilities

• Hands-on development across AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
• Own the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
• Work with LLM-based applications, including RAG approaches using LangChain and similar 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, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with 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.
• Demonstrate strong English communication skills, both verbal and written.

Requirements

• Seven years of hands-on software engineering experience with a strong emphasis on Python.
• Experience with AWS services, notably 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 SCPs and AWS Config.
• Proven ability to implement RAG architectures and work with LangChain.
• Experience in infrastructure as code best practices and building Terraform modules for AWS.
• Solid background in Git-based version control, code reviews, and DevOps workflows.
• Proven success delivering production-ready software with integrated release pipelines.

Technologies

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

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
• Eligible for referral bonuses

Supervisory Responsibilities

None

Nice-to-Haves

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