AWS AI Engineer
AI
Amazon Web Services
Artificial Intelligence
Automation
AWS
Aws Bedrock
Cloud
Cloud Computing
Cloud Infrastructure
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Deep Learning
DevOps
DevSecOps
Dynamodb
Generative AI
Infrastructure As Code
Lambda
Machine Learning
Machine Learning Engineer
Open Source Ai
PyTorch
SageMaker
TensorFlow
Terraform
Job Description
Hudson Manpower seeks a senior AWS AI Engineer to design and implement retrieval-augmented generation systems, fine-tune large language models, and develop AWS-native microservices that advance automation and governance within an enterprise setting.
Responsibilities
- Operate directly with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
- Lead the deployment of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
- Proven background in LLM applications, specifically RAG using LangChain and related frameworks.
- Design 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 ongoing development and evolution of reusable platform components for AI/ML operations.
- Create and maintain technical documentation for the team and internal customers.
- Strong verbal and written English communication skills.
Supervisory responsibilities
None
Requirements
- 7 years of hands-on software engineering experience with a strong emphasis on Python.
- Proficiency with AWS services, notably Bedrock or SageMaker.
- Experience 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.
- Solid track record implementing retrieval augmented generation architectures and LangChain.
- Proven IaC expertise with Terraform modules for AWS.
- Strong background in Git-based version control, code reviews, and DevOps workflows.
- History of delivering production-ready software with integrated release pipelines.
Technologies
- Python
- Bedrock
- SageMaker
- Lambda
- ECS
- Step Functions
- DynamoDB
- S3
- LangChain
- Transformers
- PyTorch
- TensorFlow
- Terraform
- Git
- GitHub
- Hugging Face
- Node.js
- Terraform Sentinel
- AWS Config
- AWS Organizations
- SCP
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