Looking to build your career in Generative AI, Agentic AI, LLMs, and RAG? ๐
Questhiring is hiring an experienced AI Engineer (SE AI) with 3โ5.5 years of experience to build and develop intelligent, scalable AI solutions using modern Generative AI technologies.
This is a full-time hybrid opportunity in Gurgaon for professionals with strong hands-on experience in Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Multi-Agent Systems, and Python.
If you have experience developing and deploying production-grade AI solutions, this could be an exciting opportunity to explore. ๐ค
๐ Position Details
๐ข Company: Questhiring
๐ผ Position: AI Engineer (SE AI)
๐ Job ID: Not Mentioned
๐ Location: Gurgaon, Hybrid
๐จโ๐ป Experience Required: 3โ5.5 Years
๐ Qualification: Not Mentioned
๐ข Employment Type: Full-Time
๐ Eligibility: Professionals with relevant AI/ML or engineering experience and hands-on experience in Generative AI technologies
๐ง Apply Via: LinkedIn Application Link
๐ ๏ธ Skills Required
โ
Agentic AI
โ
Large Language Models (LLMs)
โ
Retrieval-Augmented Generation (RAG)
โ
Multi-Agent Systems
โ
Generative AI
โ
Python Programming
โ
LLM Frameworks
โ
AI Application Development
โ
Prompt Engineering
โ
Model Integration & Evaluation
โ
AI Solution Optimization
โ
Production-Grade AI Deployment
๐ Experience Requirements
โข 3+ years of experience with Python
โข 3+ years of experience with RAG
โข 1+ years of experience working with Large Language Models (LLMs)
โข 3โ5.5 years of experience in AI/ML or related engineering roles
๐ Position Overview
Questhiring is looking for an AI Engineer who can contribute to the development of intelligent and scalable AI applications using modern Generative AI technologies.
The role focuses on LLM-powered applications, Agentic AI, RAG-based enterprise solutions, and Multi-Agent systems. Candidates should be comfortable working with Python and have practical experience taking AI solutions from development through production deployment.
The position also involves working with prompt engineering, model integration, evaluation, and optimization, along with collaboration across product and engineering teams.
๐ฏ Key Responsibilities
๐น Design and develop AI-powered applications using LLMs and Agentic AI.
๐น Build RAG-based solutions for enterprise use cases.
๐น Develop and integrate Multi-Agent systems and AI workflows.
๐น Implement prompt engineering techniques for AI applications.
๐น Integrate and work with different AI/LLM models.
๐น Evaluate AI model performance and optimize solutions.
๐น Develop scalable AI application architectures.
๐น Write and maintain production-quality Python code.
๐น Deploy and support production-grade AI solutions.
๐น Collaborate with product and engineering teams on AI initiatives.
๐ข About Questhiring
Questhiring is hiring for an AI Engineer role focused on developing AI-powered solutions using Generative AI technologies. Based on the job description, the role emphasizes practical application of LLMs, Agentic AI, RAG, Multi-Agent systems, and Python.
Specific information about company size, products, clients, benefits, or awards has not been mentioned in the provided job posting.
๐ฐ Salary Range
๐ต Salary: Not Mentioned
Candidates should confirm the compensation details directly through the hiring/application process.
๐งช Expected Interview Rounds
The exact interview process has not been mentioned in the job posting.
Candidates may generally expect some combination of:
1๏ธโฃ Resume Shortlisting
2๏ธโฃ HR Screening
3๏ธโฃ Technical Assessment
4๏ธโฃ AI/ML Technical Interview
5๏ธโฃ Managerial/Final Discussion
6๏ธโฃ HR Discussion & Documentation
โ ๏ธ These are general/expected interview stages and are not confirmed Questhiring-specific rounds.
๐ Preparation Tips for AI Engineer Interviews
โ Revise core Python programming concepts and problem-solving.
โ Be prepared to explain your hands-on experience with LLMs.
โ Understand the architecture and implementation of RAG systems.
โ Prepare examples of RAG projects you have developed or deployed.
โ Understand Agentic AI concepts, workflows, tools, and decision-making.
โ Be ready to explain how Multi-Agent Systems work and when to use them.
โ Revise prompt engineering techniques and best practices.
โ Understand LLM evaluation, monitoring, and optimization approaches.
โ Prepare to discuss model integration and deployment challenges.
โ Review your production-grade AI projects and be ready to explain your technical contributions.
โ Prepare examples of how you handled scalability, accuracy, latency, or reliability challenges.
โ Be ready to explain your role in collaborating with product and engineering teams.
๐ Resume Tips for AI Engineer Roles
โ Highlight hands-on experience with LLMs, RAG, Agentic AI, and Multi-Agent Systems.
โ Clearly mention your Python experience.
โ Add measurable outcomes from your AI projects wherever possible.
โ Mention AI applications that you have actually built or deployed.
โ Highlight production deployment experience.
โ Mention relevant LLM frameworks and technologies you have worked with.
โ Include relevant Generative AI projects in your resume.
โ Add GitHub/portfolio links if applicable.
โ Tailor your resume specifically toward AI/ML and Generative AI roles.
โ Keep your resume concise, technically focused, and free from unsupported claims.
โ Frequently Asked Questions
Q1. What position is Questhiring hiring for?
Questhiring is hiring for an AI Engineer (SE AI) position.
Q2. What is the required experience?
The advertised experience requirement is 3โ5.5 years.
Q3. What is the job location?
The position is based in Gurgaon and is mentioned as Hybrid.
Q4. Is this a full-time opportunity?
Yes, the provided job details mention a full-time opportunity.
Q5. What are the key technical skills required?
The major skills include Agentic AI, LLMs, RAG, Multi-Agent Systems, Generative AI, and Python.
Q6. How much Python experience is required?
The job poster specifies 3+ years of work experience with Python.
Q7. How much RAG experience is required?
The job poster specifies 3+ years of work experience with RAG.
Q8. Is LLM experience required?
Yes. The requirements mention 1+ years of work experience with Large Language Models (LLMs).
Q9. Is salary information available?
Salary has not been mentioned in the provided job details.
Q10. How can candidates apply?
Candidates can apply through the provided LinkedIn application link.
๐ Why Consider This AI Engineer Opportunity?
โจ Work focused on modern Generative AI technologies
โจ Opportunity to work with LLM-powered applications
โจ Exposure to Agentic AI solutions
โจ Hands-on work with RAG-based applications
โจ Opportunity to develop Multi-Agent systems
โจ Work with Python for AI application development
โจ Exposure to AI model integration and evaluation
โจ Opportunity to work on production-grade AI solutions
โจ Collaboration with product and engineering teams
โจ Opportunity to strengthen practical Generative AI expertise
These points describe opportunities indicated by the role and should not be interpreted as guaranteed company benefits.
๐ฉ How to Apply
๐ Application Link: Click here
๐ Suggested Subject Line: Application for AI Engineer (SE AI) โ Gurgaon
๐ Include in Your Application:
โข Position Applying For: AI Engineer (SE AI)
โข Total Experience
โข Current Location
โข Notice Period
โข Updated Resume
โข Contact Number
โข Relevant AI/ML, LLM, RAG, or Agentic AI experience
๐ Before applying, make sure your resume clearly highlights your hands-on experience with Python, LLMs, RAG, Agentic AI, and Multi-Agent Systems.
๐ข Know someone who is experienced in Generative AI, LLMs, RAG, or Agentic AI? Share this opportunity with them!
