Job description

The Mission 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. 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 (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. Your Background • 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 Have • 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 Over a Decade of Mastery: For twelve years, Hiflyers have been reshaping industries through Data Warehousing, Business Intelligence, and Data Analytics. From consulting to operations, we offer tailored, hands-on solutions to complex business problems, helping our clients grow. Our Commitment: At Hiflylabs, we're not just about projects; we're about people. We believe that our people are our most valuable assets, and we are committed to nurturing their personal and professional development through our unique mentoring system. Check out our Website , LinkedIn page and YouTube channel to get an insight into who we are and how we work!

Requirements

Must-haves

This role combines architecture leadership with hands-on full-stack development, helping shape our transition toward Databricks Apps and serverless AI solutions.
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.
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
Check out our Website , LinkedIn page and YouTube channel to get an insight into who we are and how we work!

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonreactangularci/cddockernode.js

Platform: smartrecruiters
Effort: medium

Benefits

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Vision

Professional Development