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Fullstack Automation Engineer

4 years

0 Lacs

india

Posted:5 days ago| Platform: Linkedin logo

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Skills Required

automation test stack typescript node.js react design database twilio hubspot communication ai model openai json orchestration retrieval data consistency synchronization api code software engineering shipping

Work Mode

Remote

Job Type

Full Time

Job Description

This is a full-time remote position.


The role will have excellent growth opportunities. You will be working directly with the team based in Canada. 


Experience:

CTC:

Location:

Time:


Responsibilities

  • Develop, test, and deploy full-stack applications using TypeScript across Node.js (Express/Nest) and React/Next.js
  • Design secure and efficient database schemas with Supabase (Postgres + RLS + pgvector)
  • Build and maintain integrations with third-party APIs (e.g., Twilio, Vapi, Google Calendar, Zoho/HubSpot, payment and communication systems)
  • Implement AI model integrations (OpenAI GPT-4.1/4o-mini, Claude 3.5, Gemini 1.5) using function calling and structured JSON outputs\
  • Develop automation and orchestration pipelines with n8n and Make.com
  • Create and optimize RAG (Retrieval-Augmented Generation) flows with pgvector for contextual AI responses
  • Ensure data consistency, synchronization, and clean API interactions between systems
  • Write maintainable, testable, and scalable code following modern software practices
  • Participate in design and code reviews, ensuring adherence to architectural and performance standards
  • Collaborate cross-functionally with design, AI, and product teams to deliver features from concept to production


Requirements

  • TypeScript across Node.js (Express/Nest)
  • React/Next.js
  • Supabase (Postgres with RLS and pgvector)
  • Twilio
  • Vapi
  • N8n
  • Make.com
  • AI APIs (OpenAI, Anthropic, Google Gemini) 


Bonus Requirements

  • RAG pipelines (pgvector)
  • API orchestration with LLMs
  • Third-party APIs like Google Calendar, Zoho/HubSpot, and payment or communication platforms


Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience)
  • Proven track record of shipping production-grade software or AI-integrated features
  • Strong analytical and problem-solving skills
  • Ability to work autonomously in a fast-paced, remote-friendly environment


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