Terraform Engineer Jobs

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Today

AWS AI Engineer

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Artificial Intelligence Automation

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Job Description

The role is for a senior AWS AI Engineer at Hudson Manpower, based in Sunnyvale, California with remote working options. The position centers on developing cloud-native AI/ML applications, with a focus on retrieval-augmented generation, fine-tuning large language models, and deploying AWS-based microservices for an enterprise production environment.

Responsibilities

Hands-on development with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to build and operate AI/ML workloads.
Lead the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities.
Work with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Develop cloud-native microservices, APIs, and serverless functions to support 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.
Demonstrate strong verbal and written communication skills in English.

Requirements

Minimum of 7 years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, particularly Bedrock or SageMaker.
Familiarity with fine-tuning large language models and deploying ML models to production, including dataset creation.
Proven experience with AWS Organizations and policy guardrails such as SCP and AWS Config.
Solid background in implementing Retrieval-Augmented Generation (RAG) architectures and LangChain.
Proficiency in Infrastructure as Code practices and building Terraform modules for AWS cloud environments.
Strong background in Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with integrated release pipelines.

Technologies

AWS Bedrock
AWS SageMaker
AWS Lambda
AWS Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Git
Python
Golang
Node.js
Hugging Face
AWS Organizations
AWS Config
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 offering
Eligibility for referral bonuses

Supervisory Responsibilities

None

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