AI-Integrated SaaS Platform Developer Needed
Budget: $5,000 – $10,000 USD
Full-Stack SaaS Developer with AI & Document Management Expertise
Description: We’re looking for a seasoned developer (or team) to build a scalable, secure SaaS platform that manages expropriation processes and integrates AI for document processing, classification, and text generation. You will design and implement both front-end and back-end components, deploy to a containerized environment (Docker/Kubernetes), and ensure robust security and performance.
Key Responsibilities:
Develop front-end with React or Angular, ensuring responsive UI/UX and accessibility.
Implement back-end in Python (Django/FastAPI) or Java (Spring Boot), or similar frameworks, exposing REST/GraphQL APIs.
Integrate AI/ML features: document OCR, data extraction (NLP), and text generation (LLMs).
Manage document storage (S3 or equivalent) with digital signature support (CAdES/PAdES) and PEC (Certified Email) integration.
Set up database (PostgreSQL or similar), plus optional NoSQL/Redis caching.
Configure DevOps workflow with CI/CD, Docker/Kubernetes, and monitoring/logging (Prometheus, ELK Stack).
Ensure security via OAuth 2.0 / OpenID Connect, HTTPS, and encrypted data at rest.
Requirements:
Proven experience in full-stack SaaS development and microservice architecture.
Strong knowledge of containerization (Docker) and orchestration (Kubernetes).
Familiarity with AI/ML libraries (spaCy, Hugging Face, or similar) and OCR frameworks.
Experience with DevOps best practices (CI/CD pipelines, code quality, automated testing).
Understanding of security standards (JWT, SSL/TLS, WAF) and best practices.
Excellent communication and collaboration skills.
If you’re passionate about building high-performance SaaS solutions with AI-driven features and want to shape a system used in complex legal/administrative workflows, we’d love to hear from you. Please include examples of similar projects and details on your tech stack experience in your proposal.
Description: We’re looking for a seasoned developer (or team) to build a scalable, secure SaaS platform that manages expropriation processes and integrates AI for document processing, classification, and text generation. You will design and implement both front-end and back-end components, deploy to a containerized environment (Docker/Kubernetes), and ensure robust security and performance.
Key Responsibilities:
Develop front-end with React or Angular, ensuring responsive UI/UX and accessibility.
Implement back-end in Python (Django/FastAPI) or Java (Spring Boot), or similar frameworks, exposing REST/GraphQL APIs.
Integrate AI/ML features: document OCR, data extraction (NLP), and text generation (LLMs).
Manage document storage (S3 or equivalent) with digital signature support (CAdES/PAdES) and PEC (Certified Email) integration.
Set up database (PostgreSQL or similar), plus optional NoSQL/Redis caching.
Configure DevOps workflow with CI/CD, Docker/Kubernetes, and monitoring/logging (Prometheus, ELK Stack).
Ensure security via OAuth 2.0 / OpenID Connect, HTTPS, and encrypted data at rest.
Requirements:
Proven experience in full-stack SaaS development and microservice architecture.
Strong knowledge of containerization (Docker) and orchestration (Kubernetes).
Familiarity with AI/ML libraries (spaCy, Hugging Face, or similar) and OCR frameworks.
Experience with DevOps best practices (CI/CD pipelines, code quality, automated testing).
Understanding of security standards (JWT, SSL/TLS, WAF) and best practices.
Excellent communication and collaboration skills.
If you’re passionate about building high-performance SaaS solutions with AI-driven features and want to shape a system used in complex legal/administrative workflows, we’d love to hear from you. Please include examples of similar projects and details on your tech stack experience in your proposal.