Job Overview
| Particulars | Details |
|---|---|
| Position | AI Engineer – Generative AI & Agentic AI |
| Company | GK HR Consulting |
| Location | Bangalore | Chennai | Pune | Gurgaon | Noida |
| Job Type | Full-Time |
| Experience | 7 - 10 years |
| Category / Department | IT |
| Application Mode |
🏢 About GK HR Consulting
Company Overview
GK HR Consulting India Pvt. Ltd. is a premier recruitment and staffing organization established in 2008. Headquartered in Bengaluru, the company has grown into a 300+ member organization with more than 150 certified Talent Acquisition professionals, serving leading multinational corporations across permanent hiring, contract staffing, executive search, and Recruitment Process Outsourcing (RPO).
Company Mission
To connect exceptional talent with outstanding career opportunities through ethical, personalized, and high-quality recruitment solutions.
Company Vision
To become India's most respected recruitment partner by consistently delivering world-class hiring solutions that anticipate evolving workforce needs.
Core Values
• Integrity
• Excellence
• Client Success
• Innovation
• Collaboration
• Long-Term Partnerships
What Makes Them Different
• 300+ recruitment professionals across India.
• Trusted hiring partner since 2008.
• Expertise in permanent, contract, leadership, and RPO hiring.
• Strong focus on quality-driven recruitment.
• Long-standing partnerships with Indian and global enterprises.
Company Philosophy
GK HR Consulting believes successful recruitment goes beyond filling positions—it focuses on building long-term relationships, empowering careers, and helping organizations build exceptional teams.
GK HR Consulting India Pvt. Ltd.
Bengaluru & Udupi, India
💡 Editor's Note / Preparation Tip
📄 Resume Preparation Tips
• Highlight enterprise Generative AI and LLM projects.
• Showcase production deployments and measurable business impact.
• Include GitHub repositories, AI demos, and portfolio links.
• Mention LangChain, RAG, Agentic AI, and prompt engineering experience.
• Quantify performance improvements and AI solution outcomes wherever possible.
🎯 Interview Preparation
• Revise LLM architecture, Agentic AI, and RAG implementation concepts.
• Prepare Python coding and FastAPI backend examples.
• Review LangGraph, CrewAI, AutoGen, and workflow orchestration.
• Be ready to explain production deployment strategies and AI monitoring.
• Practice system design questions focused on scalable AI applications.
💡 Professional Tips
• Build end-to-end AI agent applications using modern frameworks.
• Stay updated with the latest advancements in LLMs and Generative AI.
• Strengthen cloud deployment and MLOps skills.
• Focus on AI evaluation, observability, and security best practices.
• Continuously experiment with emerging AI models and orchestration frameworks.
📝 Job Description
🤖 Urgent Hiring | AI Engineer – Generative AI & Agentic AI | GK HR Consulting
Are you passionate about building production-ready AI solutions using Large Language Models and Agentic AI frameworks? 🚀 GK HR Consulting is actively hiring experienced AI Engineers with expertise in Python, Generative AI, LLMs, and AI Agents. If you're looking to work on cutting-edge AI technologies and enterprise-grade GenAI applications, this is an excellent opportunity to accelerate your career.
📌 Position Details
💼 Position: AI Engineer – Generative AI & Agentic AI
📍 Locations: Bangalore | Chennai | Pune | Gurgaon | Noida
🏢 Work Mode: Work From Office / Hybrid (As per Client Requirement)
💼 Experience: 7–10 Years
🎓 Qualification: Bachelor's/Master's Degree in Computer Science, Artificial Intelligence, Engineering, IT, or related field preferred
📄 Employment Type: Full-Time
⏰ Joining Preference: Immediate Joiners Preferred
⭐ Preferred Skills
✔ Production Deployment of GenAI Applications
✔ AI Workflow Orchestration
✔ Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
✔ FastAPI / Backend Development
✔ Cloud Platforms (AWS, Azure, GCP)
✔ Docker & Kubernetes
✔ CI/CD for AI Applications
✔ MLOps & AI Monitoring
🎯 Candidate Requirements
• 7–10 years of software development experience with strong Python expertise.
• Hands-on experience building Generative AI applications in production.
• Strong knowledge of LLMs, AI Agents, and Agentic AI frameworks.
• Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Solid understanding of RAG architecture, prompt engineering, and model fine-tuning.
• Experience integrating APIs, databases, and enterprise applications.
• Strong analytical, debugging, and problem-solving skills.
• Immediate joiners will be given preference.
🌟 Why Join GK HR Consulting?
✅ Opportunity to work with leading enterprise clients.
✅ Exposure to large-scale Generative AI and Agentic AI projects.
✅ Work on cutting-edge AI technologies and production deployments.
✅ Excellent career growth and learning opportunities.
✅ Collaborative and innovation-driven work culture.
✅ Be part of a trusted recruitment partner serving global organizations since 2008.
✅ Opportunity to contribute to next-generation AI transformation initiatives.
📨 How to Apply
📧 Interested candidates can share their updated resumes at:
shreems@gkhrconsulting.com
📌 Subject Line:
AI Engineer | Current CTC | Expected CTC | Notice Period
🤝 Know someone who would be a great fit? Tag them or share this opportunity with your network!
🎯 Key Responsibilities
- ✓ Design and develop enterprise-grade Generative AI applications.
- ✓ Build AI-powered products using Python and modern AI frameworks.
- ✓ Develop intelligent AI Agents and workflow orchestration solutions.
- ✓ Implement Retrieval-Augmented Generation (RAG) pipelines.
- ✓ Integrate LLMs with APIs, databases, and enterprise systems.
- ✓ Fine-tune models and optimize AI performance for production environments.
- ✓ Collaborate with cross-functional teams to deliver scalable AI solutions.
- ✓ Ensure high-quality, secure, and maintainable AI applications.
- ✓ Research and implement emerging AI technologies and best practices.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a AI Engineer – Generative AI & Agentic AI offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹12,00,000 - ₹25,00,000+ per annum (Senior/Lead level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
Q1. Which locations are available?
📍 Bangalore, Chennai, Pune, Gurgaon, and Noida.
Q2. How much experience is required?
Candidates should have 7–10 years of relevant software and AI development experience.
Q3. Which AI frameworks are required?
LangChain, LangGraph, CrewAI, AutoGen, and other Agentic AI frameworks.
Q4. Is production GenAI experience mandatory?
Candidates with hands-on production deployment experience will be preferred.
Q5. Are immediate joiners preferred?
Yes, immediate joiners will receive preference during the hiring process.
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