Ovii Job Board

Software Engineer

Nurix AI

Benguluru, India • Onsite - Benguluru, India • Full-Time • 4-8 years

Posted 2026-07-10 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

The Software Engineer will design and implement scalable APIs, data pipelines, and dashboards that connect AI models to enterprise workflows. The role spans backend services, real‑time integration, and front‑end interfaces, requiring strong Python or Node.js expertise and cloud experience.

Role Snapshot

  • Build scalable backend APIs
  • Create data ingestion/orchestration layers
  • Integrate AI/ML models into production
  • Develop real‑time, event‑driven features
  • Collaborate across product and research teams

Must-Have Requirements

  • Python or Node.js
  • Modern web framework (React/Next.js)
  • SQL/NoSQL databases
  • REST APIs
  • Microservices architecture
  • Containerization
  • AWS/GCP/Azure
  • Real‑time systems (WebSockets, event‑driven)
  • MLOps or ML integration exposure
  • backend API development
  • data pipeline engineering
  • AI/ML platform integration
  • real‑time system design

Work Setup

  • Location: Bangalore, India
  • Work mode: ONSITE
  • Employment type: Full-Time

Not Specified in JD

  • Visa sponsorship
  • Salary range
  • Remote eligibility
  • Education requirement

What You'll Likely Work On

  • Design and ship robust, high‑performance APIs for AI services
  • Build and maintain data pipelines that feed LLMs and enterprise tools
  • Implement real‑time communication layers using WebSockets or similar
  • Collaborate with AI/ML engineers to embed models into production systems
  • Contribute to front‑end dashboards that surface AI agent insights
  • Ensure security, reliability, and low latency across the stack

Good Fit If You Have

  • Enjoys fast‑paced startup environments
  • Thrives at the intersection of product and infrastructure
  • Strong problem‑solving mindset for production‑grade code

Skills

  • Python / Node.js
  • Modern web frameworks (React, Next.js)
  • SQL & NoSQL databases
  • REST APIs & microservices
  • Containerization (Docker/K8s)
  • AWS, GCP or Azure
  • Real‑time systems (WebSockets, event‑driven)
  • MLOps / ML integration