> Markdown version of [/jobs/ext/4549923-aws-cloud-developer-w-gen-ai](https://www.wearedevelopers.com/jobs/ext/4549923-aws-cloud-developer-w-gen-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Cloud Developer w/Gen AI - **Company:** Mindbank Consulting Group, LLC - **Location:** Bethesda, MD, United States - **Experience:** Experienced - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Macintosh Application Environment, Databases, Continuous Integration, Python (Programming Language), Scrum Methodology, LangChain, Retrieval-Augmented Generation, Generative AI, Cloudformation, Information Technology, Amazon Bedrock, Terraform, OpenSearch, Docker - **Published:** November 3, 2026 - **Apply:** https://www.dice.com/job-detail/35128bee-b0ec-4799-9fe7-01b9ee3c1f49 ## About the Role · Bachelor's degree in computer science or related field. · 3 - 5 years' experience with a combination of AWS related roles such as working as an AWS Developer and AWS Architect. · Experience with building applications within AWS using a hybrid approach of new and legacy components (e.g., new front-end/services with legacy databases or other mix-and-match approaches) to best fit budget/scope/timeline constraints. · Capable of establishing infrastructure using scripts, adhering to best practices, and incorporating AWS suggested templates for compliance with standards like NIST 800-53 and HIPAA. · Be proficient in setting up a functional model for seamless script promotion (CI/CD pipeline) from development to test, UAT, and production. · Experience migrating/converting data from legacy applications to a new target application environment. · Experience using discovery tools to define and develop customer requirements and pricing models. · Designed stacks using Amazon CloudFormation templates to launch AWS infrastructure and resources. · Proficiency in Python, LangChain and terraform scripting for automation tasks. · Proficiency in Docker and Kubernetes for managing scalable services and endpoints. · Solid understanding of data modelling fundamentals. Preferred Qualifications: · AWS certifications, such as AWS Developer and AWS Architect · Similar experience with migrating on-premises applications to AWS · Familiarity with Agile/Scrum methodologies and working in cross-functional product teams. ## Description · Generative AI/RAG pipeline support by collaborating with AI teams to integrate models, build scalable vector databases using AWS services such as Amazon Bedrock and OpenSearch.