AI Full Stack Engineer (LLM & AWS)

Company Description ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. Job Description We are looking for an experienced AI Full Stack Engineer to join our team on a part-time remote basis. The ideal candidate will have strong experience building LLM-powered applications, cloud-native AI solutions, and scalable full-stack platforms . You will work on AI-driven solutions for investment, research, reporting, and business workflow automation using modern AI technologies including Claude and other LLM platforms . Responsibilities Design, develop, and deploy full-stack AI applications using Claude, LLMs, and Generative AI frameworks Build secure and scalable cloud-native applications using AWS services (Lambda, ECS/EKS, S3, RDS, API Gateway) Develop user-friendly interfaces using React and modern frontend frameworks Integrate AI capabilities into financial data platforms, reporting tools, and workflows Implement RAG (Retrieval Augmented Generation) solutions using structured and unstructured data Work with vector databases, embeddings, and AI search solutions Develop APIs, backend services, and distributed applications Collaborate with investment, compliance, risk, and business teams Improve automation across operational and reporting processes Follow AI governance, security, and engineering best practices Required Skills & Qualifications 5+ years of full-stack software engineering experience Hands-on experience building LLM-powered applications Experience with Claude, OpenAI, or similar AI models Strong AWS cloud architecture knowledge Strong programming skills in: Python and/or Node.js React.js or similar frontend frameworks Experience with: APIs Distributed systems Data engineering concepts RAG architecture Vector databases Embeddings MLOps practices Experience in financial services, investment platforms, or wealth management is preferred Preferred Experience Asset Management / Wealth Management domain exposure Portfolio analytics or investment reporting systems Knowledge of SEC/FINRA compliance and AI governance Company Description ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. Job Description We are looking for an experienced AI Full Stack Engineer to join our team on a part-time remote basis. The ideal candidate will have strong experience building LLM-powered applications, cloud-native AI solutions, and scalable full-stack platforms . You will work on AI-driven solutions for investment, research, reporting, and business workflow automation using modern AI technologies including Claude and other LLM platforms . Responsibilities Design, develop, and deploy full-stack AI applications using Claude, LLMs, and Generative AI frameworks Build secure and scalable cloud-native applications using AWS services (Lambda, ECS/EKS, S3, RDS, API Gateway) Develop user-friendly interfaces using React and modern frontend frameworks Integrate AI capabilities into financial data platforms, reporting tools, and workflows Implement RAG (Retrieval Augmented Generation) solutions using structured and unstructured data Work with vector databases, embeddings, and AI search solutions Develop APIs, backend services, and distributed applications Collaborate with investment, compliance, risk, and business teams Improve automation across operational and reporting processes Follow AI governance, security, and engineering best practices Required Skills & Qualifications 5+ years of full-stack software engineering experience Hands-on experience building LLM-powered applications Experience with Claude, OpenAI, or similar AI models Strong AWS cloud architecture knowledge Strong programming skills in: Python and/or Node.js React.js or similar frontend frameworks Experience with: APIs Distributed systems Data engineering concepts RAG architecture Vector databases Embeddings MLOps practices Experience in financial services, investment platforms, or wealth management is preferred Preferred Experience Asset Management / Wealth Management domain exposure Portfolio analytics or investment reporting systems Knowledge of SEC/FINRA compliance and AI governance