Best NanoTech AI Backend Developer Hiring 2026

Development Engineer (AI Platform / Backend) at Best NanoTech

📍 Gurugram / Bengaluru 💰 ₹4.0 - ₹6.5 LPA (Estimated) 🎓 BE / B.Tech / BCA / MCA

📅 Posted

June 05, 2026

⏳ Apply Before

July 15, 2026

🏢 About Best NanoTech (BNT)

Best NanoTech (BNT) is a visionary deep-tech and enterprise software solutions provider at the intersection of nanotechnology, micro-engineering, and state-of-the-art Artificial Intelligence ecosystems. Originally established to engineer next-generation micro-materials, BNT has rapidly expanded into designing proprietary AI-powered middleware, advanced RAG frameworks, and highly complex automation engines that service global software corporations.

Our focus remains on building reliable, cloud-native backend infrastructure that scales to handle millions of real-time queries. At Best NanoTech, engineers are encouraged to break traditional structural paradigms, write modular backend components, and deploy cutting-edge language models (LLMs) to automate end-to-end organizational workflows. We foster an inclusive, fast-paced culture where individual ownership is celebrated, and professional technical curiosity is heavily rewarded.

⭐ Glassdoor Rating: 4.1 / 5 👨‍💻 Employee Strength: 250+ 🚀 Fast-Growing Tech Sector

📈 Industry Insights & Career Growth The tech ecosystem is undergoing a dramatic shift from traditional SaaS application development to AI-driven, agentic software engineering. Developers who possess hands-on familiarity with the Model Context Protocol (MCP)

, prompt orchestration frameworks, and Retrieval-Augmented Generation (RAG) are in incredibly high demand globally. By joining Best NanoTech's AI Platform team early in your career, you position yourself as a highly-skilled modern backend specialist capable of handling stateful LLM operations.

Career Pathway

Selected candidates will undergo a fast-track training program covering cloud-native deployment with Azure, microservices management using Docker, and automated CI/CD pipeline building on GitHub. Freshers can expect to transition from Associate Engineers to Senior AI Platform Architects within 18 to 24 months, based on their individual project contributions and ability to build robust production workflows.

📝 Official Designation

Development Engineer

💰 Remuneration Package

₹4.0 - ₹6.5 Lakhs Per Annum

🕒 Operational Mode

Onsite (Gurugram HQ)

✅ Eligibility & Profile Prerequisites

• Academic Degrees: Bachelor’s degree in Computer Science, Information Technology, Software Engineering, MCA, or related mathematical disciplines (2024, 2025, and 2026 batches welcome).
• Experience Range: 0 to 2 Years. Strong programming fundamentals are preferred over tenure. Freshers with powerful academic projects are highly valued.
• Eligible Specializations: Computer Science (CS), Electronics & Communication (ECE), Information Technology (IT), Data Science, AI & Machine Learning.
• Minimum GPA/Percentage: 60% or 6.0 CGPA throughout 10th, 12th, and Graduation without any active backlogs.

📝 Responsibilities & Key Deliverables In this specialized engineering capacity, you will directly configure, maintain, and expand our AI platform:

• Backend Engineering: Design, optimize, and launch reliable RESTful and gRPC APIs using Node.js and Python.
• AI & LLM Services Integration: Connect proprietary business operations to LLM backends (Azure OpenAI, Claude) using advanced prompt engineering and prompt orchestrations.
• Vector Database Architecture: Construct, feed, and manage specialized Vector Databases to process embedded semantic datasets utilizing modern RAG (Retrieval-Augmented Generation) models.
• DevOps & Deployment: Build robust containers using Docker and manage deployments across secure cloud systems like MS Azure.
• Collaborative Development: Engage in code standard maintenance, Git reviews, merge conflicts resolution, and document architecture processes in Markdown.

🧠 Desired Technical Skills Matrix

Applicants are evaluated on their fundamental alignment with the following modern software tools:

Programming Languages & Core Frameworks

Node.js Python 3.x Linux Terminal Shell Scripting

AI Platform & Prompt Orchestration

Azure OpenAI APIs Claude (Anthropic) Model Context Protocol (MCP) RAG Architectures Vector Search

Databases & DevOps Systems

PostgreSQL MySQL Vector Databases Docker CI/CD (GitHub Actions)

🎯 Recruitment & Interview Roadmap

Best NanoTech employs a streamlined three-tiered hiring framework designed to quickly filter top programming talent:

Round 1: Initial Cognitive & Programming Screening A remote objective test focused on fundamental