Job Overview
| Particulars | Details |
|---|---|
| Position | AI Engineer | Technical Delivery Manager | Administration Executive |
| Company | Grey Chain AI |
| Location | Delhi/NCR |
| Job Type | Full-Time |
| Experience | 3 - 10 years |
| Category / Department | IT |
| Application Mode |
🏢 About Grey Chain AI
Grey Chain AI specializes in building and deploying custom AI Agents that help businesses automate operations, improve productivity, and accelerate digital transformation.
Leveraging pre-built AI agent accelerators and advanced enterprise AI architectures, Grey Chain AI enables organizations to build intelligent AI workforces capable of autonomous collaboration and decision-making. Their solutions span customer service automation, knowledge management, enterprise workflow orchestration, and business process optimization.
The company's AI platform emphasizes scalability, seamless integrations, and extensibility, enabling businesses to achieve significant efficiency gains through next-generation Agentic AI systems.
🌟 Core Capabilities
• Enterprise AI Agents
• Agentic AI Systems
• Retrieval-Augmented Generation (RAG)
• Multi-Agent Frameworks
• Enterprise Automation
• Knowledge Management
• AI Workforce Orchestration
• Business Process Automation
🎯 Mission
Building intelligent AI systems that transform business operations and increase organizational efficiency by 10x.
💡 Tagline
"Where Intelligence Meets Business"
Delhi/NCR
💡 Editor's Note / Preparation Tip
Before applying, ensure your resume demonstrates practical experience, measurable impact, and ownership of projects rather than simply listing technologies.
✅ Resume Preparation Checklist
For AI Engineer:
• Highlight production AI or LLM projects.
• Include RAG pipeline implementations.
• Mention LangChain, LangGraph, CrewAI experience.
• Add vector database and embedding experience.
• Include GitHub repositories and AI portfolios.
• Quantify business impact and performance improvements.
For Technical Delivery Manager:
• Highlight enterprise project delivery experience.
• Include team sizes managed.
• Mention Agile/Scrum implementation experience.
• Showcase delivery metrics and business outcomes.
• Include stakeholder management experience.
For Administration Executive:
• Highlight operational management experience.
• Mention asset and vendor management responsibilities.
• Include payroll coordination experience.
• Showcase process improvements and organizational achievements.
🎯 Interview Preparation Topics
AI Engineer:
• Python Advanced Concepts
• LLM Fundamentals
• RAG Architecture
• LangChain
• LangGraph
• AI Agents
• Prompt Engineering
• Vector Databases
• Embeddings
• Enterprise AI System Design
• FastAPI
• Production AI Deployment
Technical Delivery Manager:
• Agile Methodologies
• Sprint Planning
• Release Management
• Stakeholder Management
• Product Delivery
• Risk Management
• Program Governance
• Enterprise Project Execution
Administration Executive:
• Office Administration
• Vendor Management
• Asset Tracking
• Payroll Processing
• Documentation Standards
• Process Management
💡 Frequently Asked Interview Questions
AI Engineer:
• Explain your RAG architecture implementation.
• How do AI Agents communicate with each other?
• Explain LangGraph workflow design.
• How do you reduce hallucinations in LLM systems?
• Describe a production AI system you built.
Technical Delivery Manager:
• Describe your largest project delivery.
• How do you handle project risks?
• Explain your stakeholder management approach.
• How do you manage release governance?
Administration Executive:
• How do you manage multiple vendors?
• Explain your documentation process.
• Describe your experience with payroll coordination.
🚀 Pro Tip
Candidates who can demonstrate measurable business outcomes, system architecture knowledge, and real-world implementation experience generally stand out significantly during interviews.
📝 Job Description
🚀 Grey Chain AI Hiring | Multiple Openings | AI, Delivery & Operations Jobs
🏢 Company: Grey Chain AI
💼 Positions Available:
• AI Engineer (3–5 Years)
• Technical Delivery Manager (10+ Years)
• Administration Executive (3–4 Years)
📌 Department: Artificial Intelligence, Product Delivery & Operations
📍 Location:
• AI Engineer – Delhi/NCR / Remote
• Technical Delivery Manager – Delhi/NCR
• Administration Executive – Delhi/NCR
🧑💻 Experience: 3–10+ Years (Role Dependent)
🎓 Qualification: B.E. / B.Tech / MCA / M.Tech / MBA / Relevant Degree
⏳ Employment Type: Full-Time
📧 Application Mode: Email Application
💼 Open Positions
🔹 AI Engineer
Experience: 3–5 Years
Location: Delhi/NCR or Remote
Required Skills:
• Python
• Generative AI
• Large Language Models (LLMs)
• LangChain
• LangGraph
• RAG Pipelines
• Agentic AI Systems
• Prompt Engineering
• Vector Databases
• Enterprise AI Architecture
🔹 Technical Delivery Manager
Experience: 10+ Years
Location: Delhi/NCR
Required Skills:
• Technical Program Management
• Enterprise Product Delivery
• Agile Methodologies
• Stakeholder Management
• Release Governance
• Sprint Planning
• Product Execution
• Team Leadership
• AI Product Delivery
🔹 Administration Executive
Experience: 3–4 Years
Location: Delhi/NCR
Required Skills:
• Administration Operations
• Asset Management
• Vendor Management
• Payroll Coordination
• Documentation Management
• Office Operations
• Communication Skills
⭐ Preferred Skills
• CrewAI
• OpenAI APIs
• Anthropic Claude
• AWS AI Services
• Pinecone
• Weaviate
• FastAPI
• Enterprise Architecture
• Program Management Certifications
• HR Operations Knowledge
🛠 Technology Areas
Artificial Intelligence
• Generative AI
• Agentic AI
• Large Language Models
• RAG Systems
• AI Agents
Backend Development
• Python
• FastAPI
• APIs
AI Frameworks
• LangChain
• LangGraph
• CrewAI
Infrastructure
• AWS
• Vector Databases
• Enterprise Integrations
🎯 What We're Looking For
• Passion for innovation and AI technologies
• Strong problem-solving abilities
• Excellent communication skills
• Ownership mindset
• Team collaboration skills
• Ability to work in fast-paced environments
• Curiosity to learn emerging technologies
🌟 Why Join Grey Chain AI?
• Work on cutting-edge Agentic AI systems
• Build enterprise-grade AI products
• Exposure to advanced LLM technologies
• Opportunity to shape next-generation AI platforms
• Collaborative and innovation-driven culture
• Career growth opportunities
• Work with experienced AI and product leaders
• Contribute to high-impact enterprise AI solutions
📩 How to Apply
Interested candidates can share their updated resume at:
📖 Editor Notes / Preparation Tips
📢 Note
Only shortlisted candidates will be contacted for the further recruitment process.
🎯 Key Responsibilities
- ✓ AI Engineer
- ✓ Build production-grade RAG pipelines
- ✓ Develop enterprise AI and Agentic AI systems
- ✓ Integrate multiple LLM providers
- ✓ Design scalable AI architectures
- ✓ Develop AI-powered automation solutions
- ✓ Optimize AI system performance
- ✓ Technical Delivery Manager
- ✓ Own end-to-end delivery of enterprise AI products
- ✓ Manage sprint execution and release planning
- ✓ Coordinate cross-functional teams
- ✓ Drive stakeholder communication
- ✓ Ensure timely project delivery
- ✓ Govern technical execution processes
- ✓ Administration Executive
- ✓ Manage day-to-day administrative operations
- ✓ Handle asset and vendor management
- ✓ Support payroll processing activities
- ✓ Maintain business documentation
- ✓ Coordinate internal operations
- ✓ Support organizational growth initiatives
💡 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 | Technical Delivery Manager | Administration Executive 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 ₹6,00,000 - ₹12,00,000 per annum (Mid 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: Is remote work available?
A: Yes, the AI Engineer role supports Delhi/NCR and Remote candidates.
Q2: What experience is required for AI Engineers?
A: 3–5 years of relevant AI/ML and backend engineering experience.
Q3: Is prior enterprise experience preferred?
A: Yes, enterprise-scale implementation experience is highly valued.
Q4: What technologies are used for AI development?
A: Python, LangChain, LangGraph, RAG, LLMs, and Vector Databases.
Q5: Are referrals accepted?
A: Yes, qualified referrals are welcome.
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