Are you an early-career software engineer passionate about building scalable backend systems for AI-powered platforms? The Software Engineer – Backend position at XenonStack Mohali offers an excellent opportunity to work on enterprise-grade AI systems with ₹5-7 LPA compensation while learning from experienced engineers in a fast-growing Data and AI company.
XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, and scale AI agents that deliver measurable business outcomes. This role is ideal for developers with 6 months to 1 year of experience who love writing clean code, solving problems, and building production-grade backend systems using Java, Python, or Golang.
🚀 About the Software Engineer Backend Role at XenonStack
This position focuses on building strong engineering foundations by contributing high-quality backend code to AI platforms and enterprise workflows. You’ll work closely with senior engineers on production-grade systems powering XenonStack’s agentic stack including ElixirData, NexaStack AI, and Akira AI platforms. The role emphasizes learning scalable system design principles while developing into a dependable software engineer in an AI-first environment.
📊 Job Details
| Detail | Information |
|---|---|
| Company | XenonStack |
| Position | Software Engineer – Backend (Java/Python/Golang) |
| Location | Mohali, Punjab, India |
| Job Type | Full-time |
| Experience Required | 6 months – 1 year |
| Industry | Data & AI Foundry / Enterprise AI Platforms |
About XenonStack
Company Mission
Accelerate the world’s transition to AI + Human Intelligence by building reliable, responsible, and enterprise-ready agentic systems.
Enterprise-Grade Platforms
XenonStack builds platforms across the agentic stack:
- ElixirData: Context OS for Agentic Intelligence
- NexaStack AI: Agentic Infrastructure Automation Platform
- Akira AI: Agentic AI Platform
These platforms enable enterprises to design, deploy, and scale AI agents delivering measurable business outcomes.
Role Mission
Build a strong engineering foundation by contributing high-quality backend code, learning scalable system design principles, and developing into a dependable software engineer in an AI-first product environment.
Primary Job Responsibilities
1. Backend Development
- Write clean, efficient, and maintainable backend code using Java, Python, or Golang
- Implement APIs, services, and data-access layers under guidance from senior engineers
- Contribute to feature development across AI platform components
- Work on bug fixes and performance improvements for production systems
- Follow coding standards and best practices in backend development
- Build RESTful services and microservices architecture components
- Integrate backend services with AI/ML models and data pipelines
2. Data Structures & Problem Solving
- Apply core data structures and algorithms to solve real engineering problems
- Optimize code for correctness, performance, and scalability requirements
- Participate actively in code reviews and incorporate feedback constructively
- Work on graph algorithms and complex data structure implementations
- Analyze time and space complexity of solutions
- Debug and troubleshoot technical issues systematically
- Contribute to technical discussions and problem-solving sessions
3. Database & Data Handling
- Work with relational databases (PostgreSQL, MySQL) and/or NoSQL databases
- Write efficient SQL queries with proper indexing, joins, and transactions
- Assist in schema design and data consistency improvements
- Optimize database queries for performance and scalability
- Handle data migrations and transformations as needed
- Ensure data integrity and consistency across systems
- Learn database optimization techniques and best practices
4. Engineering Practices
- Use Git and follow standard version control workflows with pull requests
- Write basic unit tests and assist in debugging production issues
- Learn secure coding practices and basic system reliability concepts
- Follow CI/CD pipelines and deployment processes
- Participate in sprint planning and agile development ceremonies
- Document code, APIs, and technical implementations
- Monitor application performance and logs for issues
5. Learning & Collaboration
- Work closely with senior engineers to understand system architecture
- Actively learn best practices in backend engineering and cloud-native systems
- Collaborate with cross-functional teams to understand product requirements
- Participate in knowledge sharing sessions and technical discussions
- Stay updated with latest backend technologies and AI platform trends
- Contribute to team improvements and process optimizations
- Build understanding of enterprise-grade system design
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📋 Required Qualifications and Skills
Must-Have Skills
| Skill Category | Requirements |
|---|---|
| Experience | 6 months – 1 year hands-on experience (internships, projects, or full-time) |
| Programming | Strong fundamentals in at least ONE: Java OR Python OR Golang |
| Data Structures | Solid understanding of DSA and graph algorithms |
| Databases | Good working knowledge of databases and SQL |
| Version Control | Familiarity with Git and software development workflows |
| Problem-Solving | Strong analytical mindset and willingness to learn |
Good-to-Have Skills
- Exposure to REST APIs or backend frameworks:
- Java: Spring Boot
- Python: FastAPI, Flask, Django
- Golang: Gin, Echo
- Basic understanding of operating systems, networking, or distributed systems
- Familiarity with cloud platforms (AWS/GCP/Azure)
- Knowledge of Docker and containerization
- Academic or personal projects involving backend systems
- Understanding of microservices architecture
- Experience with message queues (RabbitMQ, Kafka)
- Knowledge of caching systems (Redis)
Educational Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field
- Strong academic foundation in programming and algorithms
- Relevant certifications in backend technologies (preferred)
💰 Expected Salary Range
| Experience Level | Annual CTC Range |
|---|---|
| 6 months – 1 year | ₹5 – 7 LPA |
Note: Actual compensation depends on technical skills proficiency (Java/Python/Golang), problem-solving abilities demonstrated in interviews, project portfolio quality, and academic background. XenonStack offers competitive packages for early-career engineers in AI platform companies.
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How to Prepare for the Application
Technical Preparation
- Master one backend language thoroughly (Java/Python/Golang)
- Practice data structures and graph algorithms on LeetCode/HackerRank
- Build 2-3 backend projects with database integration and APIs
- Learn SQL and practice complex query optimization
Framework Knowledge
- Java: Learn Spring Boot basics and build REST APIs
- Python: Practice FastAPI or Flask for API development
- Golang: Understand Go fundamentals and build simple services
Interview Readiness
- Review core DSA concepts and practice coding problems
- Prepare to discuss backend projects in detail
- Understand REST API design principles and best practices
- Review database normalization, indexing, and transaction concepts
Portfolio Development
- Create GitHub repository with clean, documented backend projects
- Include projects demonstrating API development and database usage
- Showcase understanding of clean code principles
- Document architectural decisions and technology choices
Application Tips
- Highlight backend projects with clean code and proper architecture
- Showcase strong DSA fundamentals through competitive programming profiles
- Emphasize experience with chosen language (Java/Python/Golang)
- Include projects demonstrating API development and database design
- Express genuine interest in AI platforms and agentic systems
- Prepare to discuss system design concepts at basic level
- Research XenonStack’s platforms (ElixirData, NexaStack AI, Akira AI)
- Show willingness to learn and work with senior engineers
- Demonstrate problem-solving approach through concrete examples
- Keep GitHub profile updated with quality backend projects
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