Intern (AI Team)

Central

Bengaluru

Job Description

Role Overview

We’re looking for an SDE I to join the aiRA Engineering Team.
You will work with senior engineers and product managers to design, build, and scale AI-driven micro-services and internal developer tools that power Capillary’s next-generation loyalty stack.

This role is ideal for someone excited by LLM-powered systems, multi-agent orchestration, and real-world SaaS engineering challenges — from context-layer design to prompt orchestration, workflow automation, and performance optimization.

What You’ll Do

Design and Develop: Implement high-quality, testable code in Python/NodeJS/Java for aiRA Agents (Config, Analytics, Testing, Support).
Integrate AI workflows: Build APIs and pipelines that connect LLMs, context stores, and brand-specific knowledge graphs.
Work with Data & Context: Support retrieval-augmented generation (RAG), embedding stores, and schema orchestration for brand-aware agents.
Collaborate Cross-Functionally: Work closely with data science, UX, and platform teams to ship new capabilities (e.g., auto-test suites, predictive models, or self-configuring loyalty flows).
Monitor & Optimize: Instrument performance metrics, write automated tests, and optimize for latency, scalability, and cost-per-task.
Learn Fast, Ship Faster: Contribute to hackathons, PoCs, and internal AI experiments that push the boundary of Generative Loyalty.

What We’re Looking For

0–2 years of experience in software development (strong internship or academic projects count).
Proficiency in Python, NodeJS, or Java and experience with REST APIs / microservices.
Familiarity with databases (MySQL, PostgreSQL or MongoDB) and event-driven systems.
Working knowledge of cloud platforms (AWS preferred) and Git workflows.
Bonus: Hands-on with LangChain/LlamaIndex, vector stores, or LLM APIs (OpenAI, Bedrock).
Strong problem-solving skills, clean code habits, and attention to detail.
Eagerness to learn AI systems and work in cross-functional teams (product, data, design).