Software Engineer

Experience: 6 months – 1 year

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.

We build enterprise-grade platforms across the agentic stack:

ElixirData – Context OS for Agentic Intelligence

NexaStack AI – Agentic Infrastructure Automation Platform

Akira AI – Agentic AI Platform

Our mission is to accelerate the world’s transition to AI + Human Intelligence by building reliable, responsible, and enterprise-ready systems.

We are looking for a Software Engineer (Backend) at an early stage of their career who has a strong foundation in programming, data structures, and databases .

This role is ideal for candidates who love writing clean code, solving problems, and learning how real-world systems are built . You will work closely with senior engineers on production-grade backend systems that power AI platforms and enterprise workflows.

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.

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, bug fixes, and performance improvements.

Apply core data structures and algorithms to solve real engineering problems.

Optimize code for correctness, performance, and scalability.

Participate in code reviews and incorporate feedback constructively.

Work with relational databases (PostgreSQL, MySQL) and/or NoSQL databases .

Write efficient SQL queries and understand indexing, joins, and transactions.

Assist in schema design and data consistency improvements.

Use Git and follow standard version control workflows.

Write basic unit tests and assist in debugging production issues.

Learn secure coding practices and basic system reliability concepts.

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.

Exposure to REST APIs or backend frameworks (Spring Boot, FastAPI, Flask, etc.).

Basic understanding of operating systems, networking, or distributed systems.

Familiarity with cloud platforms (AWS/GCP/Azure) or Docker.

Academic or personal projects involving backend systems.