Intern (Ai Team)

5 days ago

Bengaluru Karnataka, India Capillary Technologies Full time

Central
- Bengaluru

**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).

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