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Backend & AI Engineer

Actively Reviewing the Applications

Dataviv Technologies

India, Haryana, Gurugram, Chennai Full-Time
Posted 3 days ago • Apply by June 17, 2026

Job Description

Description

Job Title :

Backend & AI Engineer

Job Details

Location : Gurugram (Gurgaon), Haryana

Candidates from Gurugram or nearby areas only

Experience : 3 - 6 Years

Work Mode : On-site

Employment Type : Full-time

Work Schedule : 6 days a week (Monday to Saturday)

Job Overview

We are looking for a Backend & AI Engineer with strong experience in Python, FastAPI, and AI/ML systems.

This role focuses on building scalable backend services, integrating AI/ML models, and running production-grade systems.

Key Responsibilities

  • Design and develop backend services using Python and FastAPI
  • Build and integrate AI/ML models into backend systems
  • Deploy and operate AI-enabled services in production
  • Design and maintain REST APIs
  • Ensure backend systems are secure, scalable, and reliable
  • Work with databases (SQL and NoSQL)
  • Manage Dockized services and Kubernetes deployments
  • Maintain and monitor cloud infrastructure
  • Troubleshoot and resolve production issues
  • Collaborate with AI, product, and engineering teams
  • Take ownership of backend and AI service quality

Must-Have Skills

Backend Engineering :

  • Strong experience with Python : FastAPI
  • REST API development
  • Database experience : PostgreSQL / MySQL / NoSQL
  • Experience writing production-grade backend code
  • Node.js (working knowledge)

AI / Machine Learning

  • Experience working with AI / ML models
  • ML frameworks : Scikit-learn, TensorFlow, or PyTorch
  • Model deployment and inference APIs
  • Understanding of model performance and monitoring

Cloud & Platform

  • Docker
  • Kubernetes
  • Cloud platforms : AWS and/or Azure
  • Experience deploying services to cloud environments

DevOps & Operations

  • CI/CD pipelines
  • Linux fundamentals
  • Monitoring, logging, and alerting
  • Production troubleshooting

Security

  • Secure API and data handling
  • Authentication and authorization (tokens, roles, IAM)
  • Basic application and infrastructure security practices

Nice To Have

  • MLOps exposure (model deployment, versioning, monitoring)
  • Message queues or asynchronous processing
  • Observability tools (Prometheus, Grafana, ELK)
  • Automation and scripting skills

Job Types : Full-time, Permanent, Freelance

Work Location : In person

(ref:hirist.tech)

Required Skills

Machine Learning PostgreSQL Python Cloud Platforms SQL AWS Microsoft Azure Docker Kubernetes Prometheus Grafana IAM TensorFlow Scikit-learn MLOps REST API Monday.com NoSQL DevOps CI/CD Linux Adobe Illustrator Node.js Cloud Infrastructure Model Deployment Set Design Observability Message queues Google Cloud Platform Cloud Infrastructure Infrastructure as Code Cloud Architecture Computer Science Cloud SQL Vertex AI Service Mesh Cloud Security Security controls Configuration management Cloud Composer Apache Airflow Release management Python Bash PowerShell OpenShift DevOps Firestore Firebase Gemini Terraform BigQuery Jenkins GitLab IAM Observability Prometheus Grafana SonarQube Trivy Kubernetes DNS
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