Your Role: Take the reins of end-to-end development for our SaaS AI platform. Build and maintain a web-based SaaS platform with robust architecture and infrastructure. Develop with the latest AI technologies and data engineering. Ensure scalability, efficiency, and performance using the latest tech stacks. Requirements: 3+ years of experience in web-based SaaS and software development. Strong skills in data engineering. Proven experience integrating AI development stacks and tools. Expertise in scalable architecture, modern tech stacks, and infrastructure. Tech stack familiarity: Backend: Node.js, Python (FastAPI), or Go. Data pipelines: Familiarity with Apache Airflow, Kafka, Data Lake, or other ETL tools. Frontend: Vercel, Next.js, Tailwind CSS, React. Databases: Supabase, Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB). Cloud & Infrastructure: AWS; experience with Docker, Kubernetes, and CI/CD pipelines. AI: LangChain, APIs, Fine-Tuning Methods, and advanced techniques. Real-time systems: WebSocket, Kafka, or similar frameworks. Scalability & performance optimization: Distributed systems, caching strategies (Redis, Memcached). Familiarity with data engineering concepts and pipelines. Passion for innovation and working in a fast-paced, startup environment. Why join us? Opportunity to lead development of a groundbreaking platform. Work in a high-impact role at the forefront of AI and business intelligence. Apply now and help us build something extraordinary.
Your Role: Take the reins of end-to-end development for our SaaS AI platform. Build and maintain a web-based SaaS platform with robust architecture and infrastructure. Develop with the latest AI technologies. Ensure scalability, efficiency, and performance using the latest tech stacks. Requirements: 3+ years of experience in web-based SaaS and software development. Proven experience integrating AI development stacks and tools. AI: LangGraph / LangChain, APIs, Fine-Tuning Methods, and advanced techniques. Expertise in scalable architecture, modern tech stacks, and infrastructure. Tech stack familiarity: Backend: Node.js, Python (FastAPI), or Go. Data pipelines: Familiarity with Apache Airflow, Kafka, Data Lake, or other ETL tools. Frontend: Vercel, Next.js, Tailwind CSS, React. Databases: Supabase, Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB). Cloud & Infrastructure: AWS; experience with Docker, Kubernetes, and CI/CD pipelines. Real-time systems: WebSocket, Kafka, or similar frameworks. Scalability & performance optimization: Distributed systems, caching strategies (Redis, Memcached). Familiarity with data engineering concepts and pipelines. Passion for innovation and working in a fast-paced, startup environment. Why join us? Opportunity to lead development of a groundbreaking platform. Work in a high-impact role at the forefront of AI and business intelligence. Apply now and help us build something extraordinary.
Your Role: Take the reins of end-to-end development for our SaaS AI platform. Build and maintain a web-based SaaS platform with robust architecture and infrastructure. Develop with the latest AI technologies. Ensure scalability, efficiency, and performance using the latest tech stacks. Requirements: 3+ years of experience in web-based SaaS, software development, and frontend engineering. Proven experience integrating AI development stacks and tools. Expertise in scalable architecture, modern tech stacks, and infrastructure. Tech stack familiarity: Frontend: Vercel, Next.js, Tailwind CSS, React. Real-time systems: WebSocket, Kafka, or similar frameworks. Scalability & performance optimization: Distributed systems, caching strategies (Redis, Memcached). Passion for innovation and working in a fast-paced, startup environment. Why join us? Opportunity to lead development of a groundbreaking platform. Work in a high-impact role at the forefront of AI and business intelligence. Apply now and help us build something extraordinary.