Solution Architect (AI & Data Applications)

HiflylabsJersey City, NJ

About The Position

At Hiflylabs, we strive to create a work environment that is both challenging and supportive, allowing our employees to grow and excel with our company. We believe that our people are our most valuable assets, and we are committed to invest in their personal and professional development through our mentoring system. Our digital product development team specializes in creating impactful mobile and web applications by combining cutting-edge technologies with data-driven insights. Our developers, designers, and business analysts work seamlessly together to deliver user-friendly, future-proof software solutions. We offer services in custom software development, innovative UX/UI design, and digital consulting, utilizing technologies such as Swift, Kotlin, Angular, React, Python, Node.js, Java, and more. At Appic, we transform your ideas into reality, building the digital future today. Check our website --> Appic by Hiflylabs We are looking for a Solution Architect to drive the development of next-generation AI-powered web applications. You will bridge the gap between Databricks data platforms and modern web architectures, building intelligent, production-ready applications that integrate LLMs, real-time data, and scalable cloud infrastructure. This role combines architecture leadership with hands-on full-stack development, helping shape our transition toward Databricks Apps and serverless AI solutions.

Requirements

  • 7+ years in software engineering, designing distributed systems
  • Strong full-stack experience (React + FastAPI)
  • Sharp product vision and UX/UI intuition
  • Expert-level Python
  • Hands-on experience with LLMs, vector databases, or RAG architectures
  • Familiarity with Docker, CI/CD pipelines, and relational databases

Nice To Haves

  • Experience with Databricks (Lakebase, MLflow, Unity Catalog)
  • Experience with GenAI frameworks (LangChain, AutoGen)
  • Experience with Node.js full-stack
  • Experience leading multi-disciplinary engineering teams

Responsibilities

  • Architect cloud-native AI applications, integrating LLMs, vector search, and real-time data.
  • Design end-to-end web solutions from frontend to backend.
  • Implement RAG pipelines, model serving, and AI agents in production.
  • Lead cross-functional teams (Full-stack, AI, Data).
  • Build and maintain backend services in Python and integrate them with React (or Angular) frontends.
  • Translate business requirements into scalable technical solutions.
  • Ensure quality through testing, CI/CD, and cloud-native best practices.

Benefits

  • Mentoring system for personal and professional development
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