AI Software Engineer (Associate)

About the Role

Experience is not a prerequisite — hunger is. We're looking for freshers who have shipped something, broken something, and learned fast. You adapt to AI models the way your generation adapted to smartphones — naturally and fluently. This is a launchpad role for engineers who want to grow at 10x speed inside a product-led AI environment. You have already used AI tools to build something that didn't exist before. You think prompts are code. You have a GitHub. You ask 'why' and then build the answer.

What You'll Do

• •Build and ship product features across the Virtuos Experience Stack under senior guidance
• •Write clean, well-tested, and documented code in Python and/or JavaScript/TypeScript
• •Participate in code reviews — both giving and receiving feedback constructively
• •Work with databases — write SQL queries, understand data models, optimise for performance
• •Integrate AI model APIs (Claude, OpenAI, Gemini) into product features and internal workflows
• •Experiment with prompt engineering to build AI-powered product capabilities
• •Learn and apply RAG, vector databases, and embedding-based search techniques
• •Use AI coding tools (Cursor, GitHub Copilot, Claude Code) to maximise your development velocity
• •Actively participate in standups, sprint retros, and team knowledge-sharing sessions
• •Take on stretch assignments that push your current skill boundaries
• •Document what you learn — technical notes, post-mortems, and how-to guides for the team
• •Seek feedback early and often; treat every code review as a learning opportunity

What We're Looking For

• •B.Tech in Computer Science (completed)
• •Strong CS academic record
• •At least one personal or academic project on GitHub
• •CS Fundamentals: Data structures, algorithms, OOP, OS concepts, networking basics
• •Programming: Python and/or JavaScript/TypeScript — writes real code, not just tutorials
• •Git & Version Control: Branching, pull requests, commit hygiene — uses Git daily
• •APIs & Web: REST APIs, HTTP, JSON — can consume and build simple endpoints
• •Databases: Basic SQL, relational models; exposure to NoSQL is a plus
• •Personal Projects: A GitHub with real code — side projects, college projects, experiments
• •Growth Mindset: Views mistakes as data, seeks feedback, learns without being told
• •Initiative: Doesn't wait to be assigned — sees a problem, takes a shot, asks for review

Nice to Have

• •Used an AI/LLM API in a project
• •Hackathon participation or prizes
• •Open source contributions (any size)
• •Evidence of self-directed learning online
• •AI API Exposure: Has called Claude/OpenAI/Gemini API and built something with it

What We Offer

•A growth-focused position within an AI-first engineering organization

•Opportunity to work with cutting-edge AI models and technologies from day one

•Clear career progression path: Associate → Engineer I → Engineer II → Senior → Staff/Lead

•Mentorship from senior engineers and hands-on learning opportunities

•Access to AI coding tools and resources to accelerate your development

•A dynamic and empowering environment focused on learning and innovation