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