SDE 1

6 days ago

Bengaluru, Karnataka, India capillary technologies Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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).

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