Job Description

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).