Development Engineer – AI Platform Backend

Development Engineer AI Platform / Backend

• Location: Gurugram
• Work Mode: Onsite
• Experience: 0 2 Years

We are looking for a Development Engineer to contribute to the design development and deployment of AI-powered backend applications and platform services. The role involves working with modern AI technologies cloud platforms APIs vector databases and scalable backend architectures. Candidates should possess strong programming fundamentals and an interest in AI-driven software development.

• Design develop and maintain backend services and APIs.
• Integrate AI and LLM-based services into business applications.
• Build and support vector search and retrieval systems.
• Develop scalable AI workflows and automation pipelines.
• Work with embeddings RAG architectures and AI inference services.
• Collaborate with product engineering and platform teams.
• Write clean maintainable and well-documented code.
• Participate in code reviews and Git-based development workflows.
• Deploy and manage applications in cloud environments.
• Troubleshoot and resolve application and production issues.
• Contribute to continuous improvement of development practices.
• Explore and evaluate emerging AI technologies and frameworks.

• Bachelors Degree in Computer Science Information Technology Software Engineering or related discipline.
• 0 2 years of software development experience.
• Strong foundation in backend development concepts.
• Exposure to AI cloud platforms and API-based architectures.
• Academic internship or project experience in AI-related applications preferred.

• Python

• Azure OpenAI
• Claude Integration
• MCP Concepts
• Prompt Orchestration
• AI Completions / LLM APIs
• Prompt Engineering

• Vector Search
• Embeddings
• Retrieval-Augmented Generation (RAG)

• PostgreSQL
• MySQL
• Vector Databases

• Azure AI Ecosystem
• Cloud-Native Application Development

• Docker
• CI/CD Pipelines
• GitHub
• Pull Requests
• Code Reviews
• Merge Management
• Conflict Resolution

• Linux
• Windows

• Markdown
• Technical Documentation
• Skill Documentation Frameworks