AWS AI Engineer

Senior AI AWS Engineer focused on building AI and ML applications on AWS, including retrieval-augmented generation systems, fine-tuning LLMs, and AWS-native microservices in a remote US setting.

Responsibilities

• Engage hands-on with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
• Lead the implementation of AWS cloud services across infrastructure, machine learning, and AI platform layers.
• Develop LLM based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
• Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
• Partner 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 development and evolution of reusable platform components for AI/ML operations.
• Create and maintain technical documentation for the team and internal customers.
• Communicate effectively in English, both verbally and in writing.

Requirements

• 7 years of hands-on software engineering experience with a strong emphasis on Python.
• Experience with AWS services, especially Bedrock or SageMaker.
• Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
• Proven experience with AWS organizations and policy guardrails such as SCPs and AWS Config.
• Strong track record implementing RAG architectures and using LangChain.
• Solid experience in Infrastructure as Code practices and building Terraform modules for AWS cloud.
• Proficiency with Git-based version control, code reviews, and DevOps workflows.
• Proven success delivering production-ready software with release pipeline integration.

Technologies

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

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
• Eligible for referral bonuses

Top Skills

• Must Have AWS services Bedrock, SageMaker, ECS, and Lambda
• Experience with AWS organizations and policy guardrails (SCP, AWS Config)
• Experience implementing RAG architectures with LangChain and ML tooling (Transformers, PyTorch, TensorFlow)
• Infrastructure as Code best practices and Terraform module development for AWS
• Fine-tuning LLMs, building datasets, and deploying ML models to production
• Git-based version control, code reviews, and DevOps workflows
• Nice to have AWS or relevant cloud certifications
• Nice to have data privacy and compliance practices (PII handling, secure model deployment)
• Nice to have data science background or experience with structured/unstructured data
• Nice to have exposure to FinOps and cloud cost optimization
• Nice to have Hugging Face, Node.js
• Nice to have Policy as Code development (Terraform Sentinel)

Supervisory Responsibilities

• None

Minimum Knowledge, Skills, and Abilities Required

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

What You'll Get

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance provided
• 401(k) with company match and optional profit sharing
• Paid vacation time
• Paid Bench time
• Training allowance
• Referral bonuses eligibility