Back
Mid-level fullstack role, metro location, broad skillset, and 3–6 year band increase applicant competition.
Core web, backend, and cloud skills are transferable, though AI/LLM and conversational analytics add domain bias.
Explicit 4+ years, mandatory fullstack experience, and multiple required tech stacks create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and maintain full stack components of an AI-powered conversational analytics platform, including front-end interfaces and backend services.
Integrate application layers with LLM AI services, data orchestration, authentication, and semantic data services to deliver secure, scalable user experiences.
Collaborate with AI and Data engineers to enhance usability, reliability, and performance across development, testing, and production environments.
4+ years of software engineering experience with strong full stack development expertise.
Proficiency in modern web development using JavaScript/TypeScript with React and backend development using Python, Node.js, or similar.
Experience designing and consuming REST APIs, cloud-native services (GCP preferred), and implementing authentication/access control like SSO and role-based access.
Work Experience Required: 4+ years
Experienced in developing AI-powered or conversational interface products integrating LLM platforms such as OpenAI, Vertex AI, or Anthropic.
Comfortable working in agile, cross-functional teams involving AI, Data, and DevOps disciplines with strong engineering and delivery practices.
Skilled in building user-centric, production-grade web applications with attention to usability, performance, and maintainability.