Cloud-Native AI Architect & Lead Engineer (Full-Stack)

Hiflylabs; Journal Square (NJ); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Mentoring program

Professional development

Job summary

Hiflylabs in the United States is seeking a Solution Architect to drive the development of next‑generation AI‑powered web applications. You will bridge Databricks data platforms with modern web architectures to build 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.

Qualifications

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

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.

Skills

Python

React

FastAPI

LLMs

Vector databases

RAG architectures

Docker

CI/CD

Relational databases

UX/UI intuition

Product vision

Tools

Databricks (Lakebase, MLflow, Unity Catalog)

LangChain

AutoGen

Job description

Hiflylabs in the United States is seeking a Solution Architect to drive the development of next‑generation AI‑powered web applications. You will bridge Databricks data platforms with modern web architectures to build 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.