Everforth Quinnox
Gen AI Full Stack Lead
Skills
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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