Senior Full-Stack / AI Automation Engineer – SaaS Platform (Audit & System Completion)

🚀 Senior Full-Stack / AI Automation Engineer – SaaS Platform (Audit, Architecture & Full System Completion) 🧭 Overview We are building a high-performance SaaS platform in the automotive lead intelligence and sales operations space. The system is designed to help automotive service providers, consignment agencies, and resellers identify, qualify, and convert high-value vehicle opportunities using a combination of: structured market data processing pricing intelligence and benchmarking automated lead qualification workflows CRM and sales pipeline automation AI-assisted communication workflows real-time analytics and tracking A significant portion of the platform is already developed. We are now seeking a senior-level engineer / system architect to perform a full audit, stabilize existing components, and complete the remaining core modules. This is a serious long-term engineering role, not a simple feature-based freelance task. 🎯 Project Vision The objective of the platform is to build a fully automated lead intelligence engine for the automotive market. At a high level, the system must be capable of: 1. Market Data Processing Layer ingesting structured and unstructured automotive listings data normalizing and cleaning datasets extracting relevant vehicle attributes (model, mileage, year, price, etc.) maintaining data consistency across sources 2. Pricing Intelligence Engine analyzing market price ranges for vehicles comparing seller pricing against market benchmarks estimating optimal resale value ranges detecting underpriced or overvalued opportunities 3. Lead Scoring System assigning a dynamic score to each opportunity ranking leads based on profitability potential filtering low-quality or irrelevant listings continuously updating scores based on market changes 4. CRM & Pipeline Management structuring leads into lifecycle stages managing assignment to sales agents tracking lead status in real-time maintaining full historical traceability 5. Automation & Workflow Layer automated outreach workflows for qualified leads structured communication sequences AI-assisted messaging for engagement and qualification conversion tracking and performance measurement 6. Analytics & Dashboard Layer real-time system monitoring campaign performance tracking lead conversion analytics operational reporting tools 🧠 Current State of the Platform The SaaS already includes: a partially functional backend architecture initial data ingestion modules early-stage campaign logic a basic CRM structure incomplete automation workflows partially integrated frontend interface However, several critical areas require: architectural stabilization feature completion security reinforcement system integration improvements scalability optimization 🔧 Key Responsibilities 1. Full System Audit (Critical) You will perform a deep technical audit of the entire system: backend architecture review API structure validation database schema analysis security assessment performance bottleneck identification module dependency mapping infrastructure evaluation Deliverable: a clear technical breakdown of what is working, what is broken, and what must be rebuilt or optimized. 2. Data Pipeline & Intelligence Layer Improvement You will help strengthen the core data system: improve data ingestion workflows ensure consistent data normalization enhance entity extraction logic stabilize data flows between modules improve reliability of pricing comparison logic 3. Lead Scoring & Ranking System You will refine or rebuild: lead scoring algorithm logic opportunity ranking system filtering logic for high-value leads dynamic score recalculation mechanisms Goal: ensure only high-quality opportunities are surfaced to the system. 4. Automation & Communication Workflows You will design and optimize: automated communication sequences structured lead qualification workflows AI-assisted messaging flows (LLM-based where applicable) CRM synchronization with automation pipelines 5. System Integration & Architecture You will ensure full system coherence: backend ↔ frontend synchronization CRM ↔ automation layer connectivity campaign ↔ data pipeline integration API consistency across modules reduction of system fragmentation 6. Payments & Operational Dashboard You may also contribute to: payment system integration user billing logic real-time operational dashboards performance monitoring tools 7. Scalability & Reliability The system must be designed for: high-volume data processing continuous daily execution modular expansion long-term maintainability robust error handling and logging 🧰 Technical Stack (Preferred) We are looking for engineers experienced in: Node.js / Python (FastAPI preferred) SaaS architecture REST / API design PostgreSQL / relational databases Redis / caching systems Docker & containerization scalable backend systems workflow automation systems AI integration (OpenAI API / LLM frameworks) CRM / pipeline systems event-driven architectures 👤 Ideal Profile We are looking for someone who: has built production-grade SaaS systems understands complex backend architectures can work independently without heavy guidance is comfortable debugging large-scale systems can think in terms of system design, not just features has experience with automation-heavy platforms 📌 Important Notes This is a long-term technical partnership opportunity, not a short freelance task. We are looking for someone who can: stabilize the existing system complete missing components improve architecture and support ongoing development 💳 Collaboration Model This can evolve into: long-term hourly engagement ongoing maintenance contract continuous feature development role 🧪 Application Screening (Attention Check) To ensure you have carefully read the full description, please start your proposal with the word: 👉 “NEXUS” Applications that do not include this keyword may not be reviewed. 📩 To Apply Please include: relevant SaaS or backend systems you have built examples of automation or data-heavy platforms experience with system architecture and scaling your preferred technical stack your approach to auditing and improving existing systems 🔚 Final Note We are not looking for basic development work. We are looking for a senior engineer capable of understanding, improving, and scaling a complex SaaS ecosystem into a production-ready system.