Full-Stack Developer with Machine Learning Infrastructure Experience Fixed Price: $10,000-12,500 depending on experience and qualifications; paid across milestones Duration: 10-13 weeks Experience Level: Expert Category: Full-Stack Development, API Development, Cybersecurity Project Overview We are building an AI system that detects how users communicate and adapts responses to match their cognitive style. The detection algorithms exist and function. Production infrastructure around them remains to be built. Your work involves wrapping our working algorithms in secure, scalable infrastructure that learns from real interactions over time. Technical Scope Take existing detection code. Build REST endpoints around it. Implement authentication, authorization, input validation, rate limiting. Secure API key management throughout. Learning Infrastructure Build automatic data collection that logs every interaction. Create analytics tools for pattern identification and accuracy measurement. Develop processes for updating detection parameters. Provide documentation explaining how to analyze collected data and refine algorithms. LLM Integration Secure connection to Anthropic or OpenAI API. System sends detected user style with conversation context. Receives adaptive responses. Protects API keys and sensitive data in transit. User Interface Web-based chat interface. Real-time messaging with encryption. XSS and CSRF protection. Secure session management. Infrastructure and Hosting Database with encryption at rest and in transit. Secure hosting and deployment following best practices. Security event logging and monitoring. Regular update and patch management. Security Requirements Strong experience wanted in most of these areas: Data protection with encryption at rest and in transit. API security including authentication, authorization, rate limiting. Input validation preventing injection attacks, XSS, CSRF. Secure deployment practices covering SSL/TLS, secure headers, environment variable management. Access control and secure session handling. Security monitoring and logging. Careful dependency management and package vetting. Technical Stack Python or Node.js backend. Tools for data collection, analysis, enabling improvements over time. React or similar frontend. PostgreSQL or MongoDB with encryption. Anthropic Claude or OpenAI API integration. AWS, GCP, or Azure hosting with security best practices. SSL/TLS, OAuth/JWT, encryption libraries. Recommend what makes sense based on your expertise. We are flexible here because you know this better than we do. Developer Qualifications —Cybersecurity expertise with demonstrated experience building secure applications —Experience building systems that improve from user data through data pipelines and algorithm refinement processes —API development expertise wrapping existing code into production systems —Full-stack development capability. LLM API integration experience with OpenAI, Anthropic, or similar —Secure data collection and encrypted storage experience. —Preferred: experience with startups and/or small teams About Us My partner Adam and I are designing the detection algorithms. Our expertise is psychology and linguistics, not software engineering. We understand how human communication works at the cognitive and linguistic level. The algorithms reflect years of that understanding and our math is solid, but we are not programmers and have no background in tech. What we've done so far has been AI-assisted. Everything beyond that needs your expertise. This means: We will explain what the system detects and why it works. You will recommend implementation approaches, architecture decisions, security measures, tooling choices. Clear communication matters because technical concepts need translation into language we understand. When explaining your work, please use plain language that non-experts can understand. We will listen to your suggestions and give you some degree of creative control on how to best implement our algorithms. We provide: —Complete algorithm specifications and logic —Domain expertise in communication patterns —Fast decisions on product direction —Clear milestone acceptance criteria We need: —Technical implementation expertise —Architecture and tech stack recommendations —Ability to explain technical concepts to non-engineers —Patience and good communication skills This works well if you are comfortable being the technical expert working with domain experts who are not programmers. This works less well if you expect clients who can review code independently and without demonstration. Collaboration Structure Direct collaboration with Adam and I. Both fully available. Weekly demos showing progress and security implementation. Payment across 5 milestones. Same-day feedback on questions. Security review at each milestone before payment. We provide detection code, you build secure production system around it. Application Requirements —Portfolio showing systems you have built —Security experience with specific implementation examples —LLM experience describing what you have built with OpenAI, Anthropic, or similar platforms —Your approach to securing AI systems handling sensitive communication data —Timeline estimate — Any questions you may have about the project