AWS AI Engineer

Hudson Manpower; New Jersey; Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive base salary

Medical, dental, and vision insurance

Optional life and disability insurance

401(k) with company match and profit分享

Paid vacation time

Paid Bench time

Training allowance offering

Referral bonuses

Job summary

Hudson Manpower is seeking a Senior AI AWS Engineer in New Jersey with remote work options. The role centers on building retrieval-augmented generation (RAG) systems, fine-tuning large language models, and delivering cloud-native AI services within an enterprise AWS environment.

You will lead AWS cloud initiatives, develop LLM-based applications, and implement CI/CD pipelines while collaborating across teams to ensure secure, scalable AI solutions.

Qualifications

• Seven years of hands-on software engineering experience with a strong focus on Python.
• Proficient with AWS services, notably Bedrock or SageMaker.
• Familiar with fine-tuning large language models or building datasets and 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 building Terraform modules for AWS.
• Strong background in Git-based version control, code reviews, and DevOps workflows.
• Proven success delivering production-ready software with release pipeline integration.

Responsibilities

• Hands-on development and operations with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
• Lead the implementation of AWS cloud services spanning infrastructure, machine learning workflows, and AI platform services.
• Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) architectures using LangChain and related 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 and ML operations.
• Create and maintain technical documentation for the team and internal customers.
• Excellent verbal and written communication skills in English.

Skills

Python

AWS Bedrock/SageMaker

RAG architectures

LangChain

Terraform

Git

DevOps practices

Production deployment

Tools

Terraform

Git

SageMaker

Bedrock

LangChain

ECS

S3

Job description

Hudson Manpower is seeking a Senior AI AWS Engineer in New Jersey with remote work options. The role centers on building retrieval-augmented generation (RAG) systems, fine-tuning large language models, and delivering cloud-native AI services within an enterprise AWS environment.

Responsibilities

• Hands‑on development and operations with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
• Lead the implementation of AWS cloud services spanning infrastructure, machine learning workflows, and AI platform services.
• Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) architectures using LangChain and related 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 and ML operations.
• Create and maintain technical documentation for the team and internal customers.
• Excellent verbal and written communication skills in English.

Requirements

• Seven years of hands‑on software engineering experience with a strong focus on Python.
• Proficient with AWS services, notably Bedrock or SageMaker.
• Familiar with fine‑tuning large language models or building datasets and 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 building Terraform modules for AWS.
• Strong background in 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 provided
• 401(k) with a company match and optional profit sharing
• Paid vacation time
• Paid Bench time
• Training allowance offering
• Referral bonuses

What you will get

• Competitive base salary
• 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 offering
• Referral bonuses

Supervisory responsibilities

None