[Remote] AWS AI Engineer / USC and GC Candidates can ONLY Apply

Note: The job is a remote job and is open to candidates in USA. Hudson IT and Manpower is seeking a Senior AWS AI Engineer for a hands-on role building production-ready AI/ML applications in AWS. The role focuses on RAG systems, fine-tuned LLMs, and secure, scalable cloud-native services, including microservices and reusable AI/ML platform components.

Responsibilities

• Hands-on role using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3)
• Responsible for the implementation of AWS cloud services including infrastructure, machine learning, and artificial intelligence platform services
• Experience with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks
• Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing
• Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems
• Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform)
• Support the development and evolution of reusable platform components for AI/ML operations
• Create and maintain technical documentation for the team to reference and share with our internal customers

Skills

• AWS services- Bedrock, SageMaker, ECS and Lambda
• Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)
• Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain
• Experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud
• Fine-tuning large language models, building datasets and deploying ML models to production
• Git-based version control, code reviews, and DevOps workflows
• 7 years of hands-on software engineering experience with a strong focus on Python
• Experienced with AWS services, especially Bedrock or SageMaker
• Familiar with fine-tuning large language models or building datasets and/or deploying ML models to production
• Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)
• Solid experience implementing RAG architectures and LangChain
• Demonstrated experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud
• Strong background in Git-based version control, code reviews, and DevOps workflows
• Demonstrated success delivering production-ready software with release pipeline integration
• Excellent verbal and written communication skills in English
• AWS or relevant cloud certifications
• Data privacy and compliance best practices (e.g., PII handling, secure model deployment)
• Data science background or experience working with structured/unstructured data
• Exposure to FinOps and cloud cost optimization
• Hugging Face, Node.js
• Policy as Code development (I.e. Terraform Sentinel)
• 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 working with structured/unstructured data
• Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment)

Benefits

• Remote work in the USA
• 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
• Eligibility to earn referral bonuses

Company Overview