AWS AI Engineer

Hudson Manpower is seeking a Senior AWS AI Engineer to design and operate retrieval-augmented generation systems, fine-tune large language models, and deliver cloud-native AI services within an enterprise AWS environment. This remote-friendly role is based in New Jersey and offers a collaborative culture, clear ownership of AI workflows, and the chance to influence how AI solutions support business outcomes.

You will join a team that values open communication, structured CI/CD processes, and a focus on building secure, scalable AI capabilities. The position comes with a competitive compensation package, comprehensive health coverage, and ongoing professional development opportunities.

Responsibilities

• Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3
• Own the implementation of AWS cloud services across infrastructure, machine learning, and AI platform services
• Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other 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
• Exhibit excellent verbal and written communication in English

Requirements

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

Technologies

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

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
• Referral bonuses

Supervisory Responsibilities

None