Solution Architect (AI & Data Applications)

TL;DR

Solution Architect (AI & Data Applications): Architecting cloud-native AI applications integrating LLMs, vector search, and real-time data with an accent on bridging Databricks platforms and modern web architectures. Focus on implementing RAG pipelines, model serving, and AI agents in production.

Location: Onsite in Jersey City, NJ, USA

Company

hirify.global is a digital product development company specializing in creating impactful mobile and web applications by combining cutting-edge technologies with data-driven insights.

What you will do

• 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 consisting of Full-stack, AI, and Data specialists.
• Build and maintain backend services in Python and integrate them with React or Angular frontends.
• Translate business requirements into scalable technical solutions and ensure quality through CI/CD and cloud-native best practices.

Requirements

• 10+ years in software engineering and designing distributed systems.
• Expert-level Python proficiency.
• Strong full-stack experience with React and FastAPI.
• Hands-on experience with LLMs, vector databases, or RAG architectures.
• Familiarity with Docker, CI/CD pipelines, and relational databases.
• Location: Must be based in or able to work onsite in Jersey City, NJ, USA

Nice to have

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

Culture & Benefits

• Human-centered culture with a strong focus on growth and support.
• Investment in professional development through a dedicated mentoring system.
• Collaborative environment where developers, designers, and business analysts work seamlessly together.
• Opportunity to work on next-generation AI-powered applications and serverless AI solutions.