Backend Engineer – AI/Scalable Systems (Lead Role)

Winzons

India

On-site

INR 4,000,000 - 6,800,000

Full time

14 days+
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Job summary

Practo is seeking a Lead Backend Engineer- AI in Bangalore to architect and build scalable backend services powering AI features for healthcare. You will own core API and microservice layers, work with Kubernetes, and collaborate on AI infrastructure and tooling.

The role emphasizes hands-on coding, fast delivery, and building robust systems tuned for performance and reliability in a healthcare context.

Qualifications

  • Bachelor’s or Master’s in CS or related field.
  • 5+ years of backend engineering experience.
  • Experience building scalable APIs and microservices.

Responsibilities

  • Build and ship AI infrastructure components for production use.
  • Integrate cutting-edge AI tools like LLM orchestration, vector databases, and RAG pipelines.
  • Drive high-velocity delivery by shipping end-to-end applications from scratch.

Skills

Backend Engineering
APIs
Kubernetes
Kafka
gRPC
AI Tools

Education

Bachelor’s/Master’s in Computer Science or related field

Tools

Kubernetes
Kafka
gRPC

Job description

Company Name: Practo

Job Role: Lead Backend Engineer- AI

Work Type: Full-Time

Experience: 5-10 Years

Qualification: Bachelor’s/Master’s in Computer Science or related field preferred

Location: Bangalore

About Practo & The AI Team :

At Practo, our mission is to make quality healthcare accessible to over a billion people. We connect millions of patients with thousands of doctors, clinics, and hospitals, generating a massive scale of healthcare interactions.

We are building the intelligence engine that will power the next generation of product experiences for healthcare consumers and providers. This means building AI solutions that handle complex medical data, streamline physician workflows, and fundamentally improve the patient care journey.

The Impact You Will Have :
  • Build & Ship AI Infrastructure : Develop and deploy core components of our AI platform, turning architectural blueprints into scalable, production-ready healthcare applications.
  • Integrate Cutting-Edge AI Tools : Work directly with vector databases, LLM orchestration frameworks, and RAG pipelines to build features that directly impact patients and doctors.
  • Drive High-Velocity Execution : Push the boundaries of engineering speed and quality by fully integrating AI coding assistants into your daily workflow to ship end-to-end applications from scratch.
The DNA We Are Looking For :
  • Strong Backend Foundation (~5+ Years) : You are a highly capable software engineer with a proven track record of building and maintaining robust backend services and APIs.
  • You have hands‑on experience with core backend technologies, including microservices, Kubernetes, Kafka, gRPC, etc. and you deeply understand scale and performance.
  • A Pure Builder (100% IC) : You love writing code and want to remain a hands‑on builder.
  • You take pride in shipping clean, efficient, and well‑tested software without the desire to move into people management.
  • The AI‑Augmented Developer : You are actively using tools like Claude Code, GitHub Copilot, or Cursor to multiply your output. You see AI as a crucial tool for modern software engineering.
  • AI Ecosystem Familiarity : You have practical experience with or a strong foundational understanding of modern AI tools (Agentic AI, LLMs, prompt engineering, vector search, embeddings). You are eager to go deeper into AI infrastructure.
  • High Agency & Extreme Resourcefulness : You operate with a growth mindset and thrive in a fast-paced, startup‑like environment. You take ownership of your features from inception to deployment and figure out how to unblock yourself.
A Note on Profile :

This is a fast‑paced engineering role focused on building the backend systems that power our AI features. We are looking for strong backend engineers who are passionate about the AI space and ready to build scalable infrastructure, rather than traditional pure ML modelers or data scientists.

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