Salary
≈ $33k – $80k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp
First seen by Alion on Oct 24, 2026.
Overview
Company
Impact
Profile match
Practo's aim is Better Patient Experience. Its B2B product Practo Ray helps doctors manage their practice efficiently, while its B2C product Practo Search allows patients to find the right doctors. Has already expanded to multiple countries and raised $125 million funding.
Backed by Peak XV Partners, RTP Global
Responsibilities:
- Build from Blank Canvas to Scale: Design and implement the end-to-end architecture of our core AI platform, ensuring it handles the complexity, security, and scale required by modern healthcare applications.
- Own the Technical Horizon: Evaluate and integrate the latest open-source and proprietary AI technologies (agent orchestration frameworks, vector databases, model serving) to keep our stack at the absolute cutting edge.
- Set the Engineering Standard: Define what AI-first software engineering looks like for the rest of the organization through your architectural decisions and high-velocity output.
Requirements:
- Battle-Tested Backend Expertise (~8+ Years): You are, first and foremost, a hardcore software engineer. You have spent years building, scaling, and maintaining complex backend systems. You have deep expertise in core backend infrastructure, including microservices architectures, Kubernetes, Kafka, gRPC, etc. You know what architectural decisions cause bottlenecks at scale, how to design robust APIs, and how to build systems that don't break under heavy load.
- A Pure Builder (100% IC): You are a dedicated, high-impact Individual Contributor. Your leverage comes from your technical architecture, system scalability, and raw code output.
- The AI-Augmented Developer: You build with AI. You are fluent in the new paradigm of software engineering, aggressively leveraging tools like Claude Code, GitHub Copilot, and Cursor as massive force multipliers.
- Deeply Plugged into the AI Ecosystem: You understand agentic AI architectures, AI agent orchestration frameworks (e. g., LangGraph, AutoGen, CrewAI), vector databases (e. g., Pinecone, Milvus), retrieval-augmented generation (RAG) pipelines, and model serving infrastructure (e. g., vLLM).
- High Agency and Extreme Resourcefulness: You operate with a growth mindset and thrive in high-ambiguity, fast-paced environments. You don't wait for perfectly scoped requirements. You figure it out, you hustle, and you ship relentlessly.
Skills
AutoGen, CrewAI, LangGraph, Milvus, Pinecone, RAG, grpc, kafka, kubernetes, vLLM
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