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AWS AI Engineer
Remote / Online - Candidates ideally in
Newark, Essex County, New Jersey, 07175, USA
Listed on 2026-08-07
Newark, Essex County, New Jersey, 07175, USA
Listing for:
Hudson Manpower
Remote/Work from Home
position Listed on 2026-08-07
Job specializations:
-
Software Development
AWS, AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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, Sage Maker, 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 Lang Chain 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, Git Hub-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.
- Seven years of hands‑on software engineering experience with a strong focus on Python.
- Proficient with AWS services, notably Bedrock or Sage Maker.
- 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 Lang Chain.
- Demonstrated experience in Infrastructure as Code best practices and building Terraform modules for AWS.
- Strong background in Git-based version control, code reviews, and Dev Ops workflows.
- Proven success delivering production‑ready software with release pipeline integration.
- Bedrock
- Sage Maker
- ECS
- Lambda
- Step Functions
- DynamoDB
- S3
- Lang Chain
- Transformers
- Py Torch
- Tensor Flow
- Terraform
- Git
- Python
- Hugging Face
- Node.js
- Golang
- Terraform Sentinel
- 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
- 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
None
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