Development Engineer (AI Platform / Backend) at Best NanoTech
🏢 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.
📈 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.
✅ 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:
🎯 Recruitment & Interview Roadmap
Best NanoTech employs a streamlined three-tiered hiring framework designed to quickly filter top programming talent:
📚 Recommended Preparation Kits
Accelerate your evaluation preparation with these selected comprehensive learning resources:
💡 Interview Preparation Tips
🔥 Frequently Highlighted Technical Challenges:
- Core LLM Orchestration: Understand the differences between calling API inference models directly and leveraging a prompt orchestration structure (such as LangChain or custom event wrappers).
- Data Sync Pipeline: Explain the operational flow of pulling raw unstructured content, parsing it to semantic vectors with Embeddings models, and validating similarity metrics in Vector databases.
- Dockerizing Node.js/Python microservices: Study container setup patterns, minimizing container build sizes, and utilizing continuous integration triggers dynamically.
🧾 Frequently Asked Questions (FAQs)
Q: What is the primary operational city for this job posting?
A: The primary operational backend site is Gurugram, India. Selected candidates may also work/relocate relative to regional team offices in Bengaluru if requested during offer negotiations.
Q: Are active college students or direct freshers from 2026 batches eligible?
A: Yes! Candidates graduating in 2026 with strong basic computing and code portfolios (such as comprehensive Github profiles or active Hackathon ranks) are highly encouraged to apply.
Q: Is this position completely remote or does it demand physical presence?
A: This is an active Onsite position working directly from Best NanoTech's regional technology hubs.
Q: What languages are critical to mastering before the technical interview rounds?
A: Deep syntax competency in Python or Node.js is essential. Code evaluations heavily test modular structural logic and efficient API pipeline construction rather than memorized algorithms.
⭐ Best NanoTech Workplace Culture Ratings
"The learning curve here is incredibly steep! As a fresher joining the backend team, I was working with Claude and Azure OpenAI APIs inside my first month. The managers are supportive, and there is a massive focus on writing modern cloud-ready code."
— Verified AI Backend Engineer, Gurugram HQ
Ready to kickstart your Engineering career at Best NanoTech?
Apply Now via Official PortalJoin us as we design the future of AI platforms! Application Deadline: July 15, 2026
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