> Markdown version of [/jobs/ext/3809104-full-stack-developer](https://www.wearedevelopers.com/jobs/ext/3809104-full-stack-developer). 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). --- # Full Stack Developer - **Company:** Insight Global - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Code Generation, Digital Asset Management, Identity and Access Management, Python (Programming Language), Software Engineering, TypeScript, AWS Cdk, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Cloudformation, AI Platforms, Infrastructure Automation Frameworks, Information Technology - **Published:** October 17, 2026 - **Apply:** https://dejobs.org/x/x/B0F930C32C584292BF90248284B3F619/job/ ## About the Role * 6 years of experience in Software Development / Software Engineering full stack * 2+ years' experience developing, testing and deploying AI Solutions * Experience using AI driven development including code generation, testing and review * Experience building LLM-backed systems, RAG pipelines or multi-step agentic orchestration * Strong Experience with Backend Engineering for API integration * Tools: Typescript, Java, JavaScript, Python, React * AWS Cloud Services such as Bedrock, CloudFormation, Lambda, CDK, IAM, S3 etc.) * Bachelor's degree in computer science or a related field * Previous enterprise level experience * Masters Degree in Computer Science or reltated field of study ## Description We are seeking an experienced Software Engineer to design, build, and deploy AI-powered applications and automation solutions that support Marketing initiatives across brand governance, advertising quality control, content compliance, localization, and digital asset management. This role will develop agentic AI systems leveraging large language models (LLMs), retrieval-augmented generation (RAG), knowledge bases, and multi-agent workflows to automate brand reviews, answer marketing and branding questions, validate advertising assets, streamline localization processes, enhance content compliance checks for emails and landing pages, and expand integrations across enterprise marketing platforms. The ideal candidate will have strong AWS cloud expertise, including infrastructure provisioning using AWS CDK, experience building scalable AI-native architectures, and a proven ability to integrate APIs, data sources, AI services, and third-party platforms.