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Everforth Quinnox

Gen AI Full Stack Lead

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Description

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- Aswiniv@quinnox.com

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