AWS AI Engineer

Senior AI AWS Engineer role based in Sacramento, CA (remote), focused on building retrieval-augmented generation (RAG) systems and production AI/ML services on AWS.

Responsibilities

• Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to design and operate AI solutions.
• Lead the implementation of AWS cloud services across infrastructure, ML, and AI platform services.
• Develop LLM-based applications, including Retrieval-Augmented Generation workflows 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.
• Excellent verbal and written communication in English.

Requirements

• Minimum 7 years of hands-on software engineering experience with a strong focus on Python.
• Proficient with AWS services, notably Bedrock or SageMaker.
• Experience fine-tuning large language models or building datasets and deploying ML models to production.
• Experience with AWS Organizations and governance guardrails such as SCPs and AWS Config.
• Proven track record implementing RAG architectures and LangChain.
• IaC best practices and building Terraform modules for AWS.
• Strong Git-based version control, code reviews, and DevOps workflows.
• History of delivering production-ready software with integrated release pipelines.

Technologies

• Python
• Bedrock
• SageMaker
• Lambda
• Step Functions
• DynamoDB
• S3
• LangChain
• Transformers
• PyTorch
• TensorFlow
• Terraform
• GitHub
• Hugging Face
• Node.js
• 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 eligibility