Lead Full-Stack Software Engineer

We're seeking a Lead Full-Stack Software Engineer to build user-friendly, high-performing interfaces and frontend integration libraries that deliver GenAI and intelligent automation capabilities to teams across IT, HR, Finance, Sales, Marketing, and Customer Support.

Responsibilities

Design and develop end-to-end GenAI-powered applications, emphasizing intuitive web-based UIs and high-performing client-side API integrations Build responsive, accessible frontend interfaces tailored for streaming responses and minimal latency Create and maintain a library of reusable frontend components, hooks, and design systems for enterprise-grade GenAI applications Deliver LLM-based experiences using frameworks such as Lang.

Chain or Llama. Index combined with OpenAI, Claude, or Gemini Collaborate with designers and product managers to rapidly iterate on innovative AI UX patterns, including chat assistants, prompt builders, and feedback loops Ensure security, accessibility, observability, and comprehensive test coverage across client-side and full-stack builds Deliver responsive, accessible, and high-performance web UIs suited to AI-driven interactions such as streaming text, prompt inputs, citations, and summaries Maintain a shared library of reusable frontend components and hooks so internal teams can seamlessly integrate GenAI capabilities into their own applications Develop UI components that provide transparency, observability, and trust in AI-generated outputs Requirements Background in building production applications with React, TypeScript, or Vue for enterprise use cases (5+ years) Expertise in full-stack software engineering spanning frontend UIs, REST APIs, and microservices (5–8 years) Proficiency in integrating GenAI features, LLM APIs, and prompt UI patterns into web-based applications (2+ years) Skills in Python backend development, along with 2+ years building and consuming cloud microservices on AWS, Docker, and REST APIs Showcase of building, documenting, and maintaining reusable component libraries, design systems, and custom hooks Proficiency in English at a B2+ level or higher Nice to have Familiarity with real-time streaming UX patterns, such as SSE/Web.

Sockets, prompt builders, citations, and summary UI components Knowledge of WCAG 2.1 AA compliance and approaches to designing accessible UI components Capability to work with client-side or Node.js Lang. Chain, Lang. Graph, or Llama. Index orchestration Understanding of RAG pipelines, vector search platforms like Pinecone or Open.

Search, and embedding fundamentals Competency in AI evaluation tools, feedback loop design, and interface-level guardrails