Job Overview
| Particulars | Details |
|---|---|
| Position | Senior AI Agent Engineer & Full Stack .NET Developer |
| Company | WeyBee Solutions Pvt Ltd |
| Location | Rajkot, Gujarat |
| Job Type | Full-Time |
| Experience | 7 - 8 years |
| Category / Department | IT |
| Application Mode |
🏢 About WeyBee Solutions Pvt Ltd
Company Overview:
WeyBee Solutions Pvt Ltd is an IT and software solutions company focused on helping businesses use technology to improve operations and achieve their goals. The company provides services including IT staff augmentation, software development, data engineering, and digital marketing.
WeyBee works with businesses ranging from startups to established enterprises and positions itself as a long-term technology partner. The company has completed 145+ projects, worked with 113+ clients, and has a team of 50+ employees, with a stated employee retention rate of 90%.
Company Mission:
To deliver world-class IT and software solutions that drive success for organizations globally.
Company Vision:
WeyBee believes in the power of technology to transform businesses and shape the future.
Core Values / Principles
Teamwork
Personal Growth
Culture of Excellence
Continuous Learning
Client-focused solutions
Continuous Improvement
Dedication and hard work
Ethics, integrity, transparency, and fairness
Innovation
303, Nakshatra Heights,
150 Feet Ring Road,
💡 Editor's Note / Preparation Tip
Resume Tips:
Clearly identify whether you are applying for the Senior AI Agent Engineer or Full Stack .NET Developer role.
For the AI role, prominently highlight Python, LLMs, Agentic AI, RAG, vector databases, and multi-agent orchestration.
Mention specific experience with LangChain, LangGraph, or LlamaIndex.
Include cloud platforms such as AWS, Azure, or GCP.
Highlight production-grade AI applications and end-to-end ownership.
For the .NET role, highlight C#, .NET, SQL Server, API development, architecture, and performance optimization.
Mention OpenSearch/Elasticsearch experience if applicable.
Include React, Next.js, Python, Docker, AI agents, or cloud experience for the .NET role if applicable.
Use measurable achievements such as performance improvements, reduced infrastructure costs, faster API response times, or successful production deployments.
Interview Preparation:
For Senior AI Agent Engineer:
Revise LLM architecture and prompt engineering fundamentals.
Prepare RAG architecture and retrieval strategies.
Review embeddings, vector databases, chunking, indexing, and similarity search.
Understand agentic AI and multi-agent orchestration patterns.
Prepare questions around tool/function calling.
Review LangChain, LangGraph, and LlamaIndex concepts.
Prepare production AI architecture and scalability scenarios.
Review conversation memory and context management.
Prepare cloud deployment and AI application security topics.
Be ready to discuss a complete AI project from design through production.
For Full Stack .NET Developer:
Revise C#, .NET, ASP.NET Core, and Web API concepts.
Prepare SQL Server queries, optimization, indexing, and database design.
Review SOLID principles and common design patterns.
Prepare system design and scalable architecture questions.
Revise API security, authentication, authorization, and performance optimization.
Review microservices and distributed-system concepts where applicable.
Prepare questions around Docker and cloud deployment if you have relevant experience.
Revise React/Next.js fundamentals if those technologies are listed on your resume.
Prepare real-world debugging and performance optimization scenarios.
Professional Tips:
Apply for the position that most closely matches your strongest hands-on experience.
Highlight production experience rather than only listing technologies.
Mention ownership of projects from design through deployment.
Keep your resume focused on relevant technical achievements.
For AI roles, demonstrate actual LLM/Agentic AI implementations rather than generic AI knowledge.
For .NET roles, emphasize architecture, scalability, API development, and performance optimization.
Since the position is on-site in Rajkot, clearly consider your availability to work from the specified location.
📝 Job Description
Position Details:
WeyBee Solutions Pvt Ltd is expanding its engineering team and is looking for experienced professionals to work on real-world, production-grade systems.
The company is hiring for the following positions:
Senior AI Agent Engineer – 4–8 Years
The role requires strong Python backend development experience along with hands-on expertise in LLMs, Agentic AI, tool/function calling, and multi-agent orchestration. Candidates should understand RAG, embeddings, vector databases, and conversation memory. Familiarity with LangChain, LangGraph, or LlamaIndex and experience with AWS, Azure, or GCP are required. The role involves end-to-end ownership from solution design through production.
Full Stack .NET Developer – 4–8 Years
The role requires strong expertise in C#/.NET and SQL Server, with experience in API development, system design, architecture, and performance optimization. Knowledge of OpenSearch or Elasticsearch is an advantage. Exposure to React, Next.js, Python, AI agents, Docker, and cloud technologies will be beneficial.
Benefits / Compensation
Employment Type: Full-Time
Location: Rajkot, Gujarat
Work Mode: On-site
Experience: 4–8 Years
Salary/Compensation: Not Provided
Other Benefits: Not Provided
Candidate Requirements:
For Senior AI Agent Engineer:
Strong Python backend development experience.
Hands-on experience with LLMs.
Experience with Agentic AI.
Experience with tool/function calling.
Experience with multi-agent orchestration.
Experience with RAG and embeddings.
Knowledge of vector databases and conversation memory.
Familiarity with LangChain, LangGraph, or LlamaIndex.
Experience with AWS, Azure, or GCP.
Ability to take ownership from design through production.
For Full Stack .NET Developer:
Strong C#/.NET expertise.
Strong SQL Server experience.
Experience developing APIs.
Experience with system design and architecture.
Experience with performance optimization.
Strong problem-solving and ownership mindset.
Preferred Skills:
Senior AI Agent Engineer:
LangChain
LangGraph
LlamaIndex
AWS
Azure
GCP
Vector Databases
Multi-Agent Systems
Full Stack .NET Developer:
OpenSearch
Elasticsearch
React
Next.js
Python
AI Agents
Docker
Cloud Technologies
Working Days & Hours:
Not Provided.
How to Apply:
Interested candidates can send their updated CV to hr@weybee.in.
🎯 Key Responsibilities
- ✓ Design, develop, and maintain production-grade software systems.
- ✓ Take end-to-end ownership of assigned technical solutions.
- ✓ Develop Python backend systems and AI-agent solutions where applicable.
- ✓ Build and integrate LLM-powered applications and agentic workflows.
- ✓ Implement RAG, embeddings, vector databases, conversation memory, and tool/function calling.
- ✓ Develop .NET-based applications and APIs.
- ✓ Design scalable software architectures and system components.
- ✓ Work with SQL Server and optimize application/database performance.
- ✓ Collaborate with technical teams to develop reliable and maintainable solutions.
- ✓ Apply appropriate cloud technologies and development practices.
- ✓ Troubleshoot complex technical problems and contribute to continuous improvement.
💡 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 Senior AI Agent Engineer & Full Stack .NET Developer 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
1. What positions are available at WeyBee?
WeyBee is hiring for Senior AI Agent Engineer and Full Stack .NET Developer positions.
2. How much experience is required?
Both positions require 4–8 years of experience.
3. Where are these positions located?
The roles are based in Rajkot, Gujarat.
4. Is the work remote or on-site?
The positions are full-time and on-site.
5. What experience is required for the Senior AI Agent Engineer role?
Candidates should have strong Python backend experience and hands-on experience with LLMs, Agentic AI, tool/function calling, multi-agent orchestration, RAG, embeddings, vector databases, and conversation memory.
6. Which AI frameworks are mentioned for the Senior AI Agent Engineer role?
The posting mentions LangChain, LangGraph, and LlamaIndex.
7. What are the main requirements for the Full Stack .NET Developer role?
Strong C#/.NET and SQL Server experience, along with API development, system design, architecture, and performance optimization experience.
8. Are React and Next.js mandatory for the .NET position?
No. React and Next.js are listed as additional exposure/advantage rather than mandatory requirements.
9. Is cloud experience required?
Cloud experience is required for the Senior AI Agent Engineer position, with AWS, Azure, and GCP mentioned. Cloud exposure is an advantage for the Full Stack .NET Developer position.
10. How can candidates apply?
Candidates can send their CV to hr@weybee.in.
Share This Job
🛡️ Safety Disclaimer: JobPortalConnect curates official listings for informational purposes. Genuine recruiters will never ask you for processing fees, training payments, or security deposits. If you spot suspicious activity, copyright issues, or wish to request the removal of this listing, please report it to us immediately at contact.jobportalconnect@gmail.com.