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AI-Native Full Stack Engineer (SaaS Products)- Bangalore

Actively Reviewing the Applications

HYrEzy Tech Solutions

India, Karnataka, Bengaluru Full-Time On-site INR 25–40 LPA
Posted 15 hours ago Apply by June 7, 2026

Job Description

Role: AI-Native Full Stack Engineer (SaaS Products)

  • Location: Bangalore, Karnataka, India
  • Experience: 3 - 5 Years
  • Budget: 30 - 40 LPA

Notes From Hiring Manager

  • What to include when sending profiles
  • 2 – 3 shipped examples of AI/LLM features (what was built, stack used, outcome)
  • GitHub/portfolio links
  • JST overlap availability

Role Summary

Build and ship SaaS products using AI-native development workflows. Depending on requirements, products may include AI-embedded features (LLM-powered automation, agentic workflows, intelligent document processing) or may be traditional SaaS built with AI-assisted development practices.

What You Will Build

  • Production SaaS features: end-to-end from UI to API to data model to deployment
  • AI-embedded product capabilities where required: workflow automation, document intelligence, conversational interfaces
  • Evaluation and monitoring systems for AI features (quality, latency, cost)

Responsibilities

  • Own full-stack delivery with minimal handoffs
  • Integrate LLM APIs (OpenAI, Claude, etc.) into production applications
  • Ship MVP-quality increments in 2–3-week cycles
  • Collaborate with stakeholders in English; clarify scope, propose trade-offs, and iterate quickly
  • Establish practical engineering standards: version control, testing, CI/CD, observability

Required Qualifications

  • Full stack - React/Next.js + Node.js and/or Python; database design; API development
  • AI-native workflow - Daily use of AI coding tools (Copilot, ChatGPT, Cursor, etc.) for development, debugging, iteration
  • LLM integration - Hands-on experience integrating LLM APIs into real applications (not just prototypes)
  • Delivery speed -Proven ability to ship working software in 2–3-week cycles
  • Communication - Fluent English (written and verbal); remote-first collaboration discipline

Nice-to-have

  • B2B SaaS or workflow automation experience
  • Agentic workflow design (task decomposition, tool use, state management)
  • RAG implementation and evaluation
  • Cloud deployment (AWS/GCP), CI/CD, containerization

Skills: nextjs,llm integration,python,full stack development,ai/llm,react,ai native,nodejs
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