Solution Architect (AI & Data Applications) at Hiflylabs

Blumenau, Santa Catarina, Brazil -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

0.0

Posted On

07 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solution Architecture, Python, React, FastAPI, LLMs, RAG Architectures, Vector Databases, Cloud-Native Design, Databricks, CI/CD, Docker, Distributed Systems, Full-stack Development, Angular, Node.js, UX/UI Design

Industry

IT Services and IT Consulting

Description

Company Description Why us? “Data-driven digitalization, human-centered culture” 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 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. Qualifications Your Background 10+ 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 Additional Information 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! Tag: PYTHON

Responsibilities

Lead the architecture and development of AI-powered web applications by bridging Databricks data platforms with modern web architectures. You will design end-to-end solutions, implement RAG pipelines, and lead cross-functional engineering teams.