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Gen AI Full Stack Lead

Exclusive opportunity

Hybrid

Gen AI Full Stack Lead

Everforth Quinnox

Gen AI Full Stack Lead

Skills

NodePythonMicroservicesGraphQLMachine LearningAIAWSComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

22 September 2026

What they need


IMMEDIATE OPENINGS

Role: GEN AI Full Stack

Location: Bangalore & Mumbai

Work Mode: Hybrid

Shift: 2nd (2pm to 11pm)

JD:

Experience: 8-10 Years
We are looking for a Senior AI Engineer (Lead Consultant) with strong expertise in Python, Node.js, AWS, API development, and backend engineering to build scalable AI-powered applications and agentic solutions.

Key Responsibilities

  • Design and develop AI/GenAI solutions using LLMs, AI Agents, and Prompt Engineering.
  • Build scalable backend services and APIs using Python and Node.js.
  • Build RESTful APIs, GraphQL APIs, microservices, and event-driven architectures.
  • Integrate AI services with enterprise applications and third-party platforms.
  • Develop secure and high-performing API frameworks and integrations.
  • Develop agent-based workflows, RAG applications, and prompt-driven solutions.
  • Write, test, and optimize English prompts for business use cases.
  • Design and deploy cloud-native solutions on AWS.
  • Lead technical discussions, architecture reviews, and mentor engineering teams.

Required Skills & Qualifications

Technical Skills

  • 8 to 10 years of experience in software engineering and backend development.

  • Strong hands-on experience with:

  • Python

  • Node.js

  • REST APIs

  • Microservices Architecture

  • Backend System Design

  • Strong expertise in AWS cloud services and cloud-native architectures.

AI & GenAI Skills

  • Experience building applications using:

  • OpenAI

  • Azure OpenAI

  • Anthropic Claude

  • Amazon Bedrock

  • Similar LLM platforms

  • Hands-on experience with:

  • AI Agents

  • Agentic Workflows

  • Multi-Agent Systems

  • Prompt Engineering

  • Prompt-Driven Development (PDD)

  • RAG Architectures

  • Vector Databases

  • Ability to write, test, evaluate, and optimize English prompts for enterprise use cases.

  • Strong understanding of LLM evaluation, guardrails, hallucination mitigation, and model orchestration.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, AI, or related discipline.
  • AWS Certification (Solutions Architect, Developer, Machine Learning Specialty) preferred.
  • Experience implementing enterprise AI governance and security controls.
  • Exposure to Responsible AI frameworks and AI compliance requirements.
  • Experience leading AI transformation or modernization initiatives.

Primary Skills: Python, Node.js, AWS, APIs, Backend Development, AI Agents, Prompt Engineering, Prompt-Driven Development, GenAI, RAG, LLM Applications.

Thankyou

Aswini V- HR

QUINNOX

Mail.id- [email protected]

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