AI Developer

Duration: 3-12 months Location: Remote Availability: Part-time/Full-time (flexible) Language: English Start: ASAP Project/Client Summary: The client is a sales aggregator platform and marketplace for swimming-pool construction, acting as the intermediary between homeowners/commercial clients and vetted pool-building companies. The project is an AI platform relaunch in progress; goal is to modernize lead capture, qualification, quoting, and partner routing. Responsibilities: Design and implement a multi-agent LLM system connected to databases and document stores; enforce guardrails, observability, and rollback strategies suitable for a consumer-ready product. Build a client-facing intake flow (B2C) to capture specs (measurements, design choices, site photos), validate inputs, and minimize friction across web/mobile touchpoints. Implement pricing/quote logic and auto-generate non-binding contracts and offers from business rules, materials, and labor rates; maintain versioning and audit logs. Produce rough 3D pool previews from specs/site images using CV/3D pipelines or external renderers; deliver fast, low-latency visual feedback to end users. Establish CI/CD, access control, data (PII handling, -minded), and real-time monitoring; define SLOs for latency, reliability, and content safety. Run A/B tests and quality evaluations (automated + human-in-the-loop) to improve conversion, routing accuracy, and customer satisfaction. Profile : Proven delivery of production LLM/agent workflows with strong data integrations, safety guardrails, and consumer-grade reliability. Strong backend skills for pricing/quote engines, contract/document generation, and secure API design; confident in frontend integration for smooth B2C experiences. Hands-on exposure to computer vision and basic 3D rendering workflows or integrations (e.g., bridging to external engines/pipelines). Experience deg for low-latency, high-uptime consumer products (rate limiting, caching, telemetry, feature flags). Excellent stakeholder communication; ability to translate business rules into testable, maintainable system logic and KPIs. Technical Skills: Python; Node.js; TypeScript; React; Next.js; PostgreSQL; MongoDB; Redis; Docker; Kubernetes; AWS; GCP; MS Azure; Terraform; Computer Vision; OpenCV; Natural Language Processing (NLP); Unity 3D; GraphQL