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Closed on August 24, 2026.
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Job Description
This role centers on delivering hands-on AI and cloud engineering in AWS, focusing on retrieval-augmented generation systems, LLM fine-tuning, and deploying AWS native microservices to support automation and governance in production. Based in Richmond, VA with remote work available.
Responsibilities
- Hands-on execution of AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
- Implement AWS cloud services spanning infrastructure, machine learning, and AI platform services.
- Develop LLM-based applications, with Retrieval-Augmented Generation using LangChain and similar 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.
- Manage the software release lifecycle, overseeing 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.
- Demonstrate excellent verbal and written communication skills in English.
Requirements
- Minimum seven years of hands-on software engineering experience with a strong emphasis on Python.
- Experience 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 policy guardrails, including SCPs and AWS Config.
- Strong background implementing RAG architectures and LangChain.
- Proven IaC practices and experience building Terraform modules for AWS.
- Solid experience with Git-based version control, code reviews, and DevOps workflows.
- Track record of delivering production-ready software with integrated release pipelines.
Technologies
- Bedrock
- SageMaker
- ECS
- Lambda
- Step Functions
- DynamoDB
- S3
- LangChain
- Transformers
- PyTorch
- TensorFlow
- Terraform
- AWS
- Terraform Sentinel
- Hugging Face
- Node.js
- Golang
- Git
Benefits
- Competitive base salary
- Medical, dental, and vision insurance coverage
- Optional life and disability insurance
- 401(k) plan with company match and optional profit sharing
- Paid vacation time
- Paid bench time
- Training allowance
- Eligibility for referral bonuses
What you’ll get
- 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
- Eligibility for referral bonuses