Full Stack Developer (AI/LLM Focus)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Merican Inc, is seeking the following. Apply via Dice today!Job Title: Full Stack Developer (AI/LLM Focus)Location: Rockville, MD 20850 (Hybrid/Onsite)Duration: 12+ Months Contract with possible extension/conversionOnly Local Candidate allowed. Job OverviewWe are seeking a highly skilled Full Stack Developer to design, build, and maintain scalable end-to-end applications. This role goes beyond traditional full stack work by incorporating AI-assisted development and Large Language Model (LLM) integrations. The ideal candidate will work across the full technology stack-from modern front-end frameworks to backend microservices and cloud-native architectures-while contributing to innovative AI-driven solutions.Required Skills 5+ years of Full Stack Development experienceStrong expertise in:Java (Spring Boot, Spring MVC)Python (FastAPI, Flask, or Django)Hands-on experience with Angular or Vue.jsSolid experience with databases such as PostgreSQL, MongoDB, and DocumentDBStrong working knowledge of AWS services including:EC2LambdaS3ECS/EKSRDSIAMCloudWatchExperience with AI-assisted development tools such as Amazon Q Developer and KiroPractical experience integrating Large Language Models (LLMs) into applicationsFamiliarity with CI/CD pipelines, Docker, and Infrastructure-as-CodeExperience with test automation frameworksStrong understanding of:REST API DesignMicroservices ArchitectureSecure Coding Practices ResponsibilitiesDevelop and maintain full stack applications across UI, backend, and data layersBuild responsive and accessible interfaces using Angular or Vue.jsDesign and develop REST APIs and microservices using Java (Spring Boot) and Python frameworks (FastAPI, Flask, Django)Work with relational and NoSQL databases such as PostgreSQL and MongoDB/DocumentDBArchitect and deploy cloud-native solutions on AWS (Lambda, ECS, S3, API Gateway, CloudFormation, CDK)Build and integrate LLM-powered features using platforms like AWS BedrockLeverage AI coding tools such as Amazon Q Developer and Kiro to improve productivityParticipate in large-scale document processing and intelligent data extraction projectsCollaborate in Agile/Scrum teams and contribute to sprint ceremoniesImplement automated testing using Selenium, Cypress, or PlaywrightOptimize application performance across frontend, APIs, and databasesConduct code reviews, write unit/integration tests, and follow best practicesMentor junior developers and support knowledge sharingPreferred QualificationsExperience with document processing tools like Amazon TextractKnowledge of RAG (Retrieval-Augmented Generation) and vector databasesAWS Certifications (Solutions Architect / Developer Associate)Experience in financial services or regulatory domainUnderstanding of prompt engineering and LLM fine-tuningExperience with Terraform or AWS CDKImportant NotesStrong AI/LLM integration experience is highly preferredCandidates with hands-on AWS cloud-native development experience will be prioritizedExcellent communication and collaboration skills required