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Python Django & AI Engineer

SiliconNexus

🇺🇸Dover, USmidonsite

  • aws
  • azure
  • celery
  • ci/cd
  • django
  • django rest framework
  • docker
  • faiss
  • fastapi
  • gcp
  • git
  • kubernetes
  • langchain
  • llamaindex
  • mysql
  • numpy
  • openai gpt
  • pandas
  • pinecone
  • postgresql
  • python
  • redis
  • scikit-learn
  • transformers
  • whisper

Python Django & AI Engineer

About SiliconNexus

SiliconNexus is a rapidly growing technology company delivering end-to-end solutions in Embedded Systems, Blockchain, AI/ML, and Web & Mobile Application Development. We foster a culture of innovation, collaboration, and engineering excellence, empowering our teams to build intelligent, scalable, and impactful products.

Role Overview

We are looking for a Python Django & AI Engineer who can bridge the gap between backend development and AI-driven solutions. You will be responsible for building scalable web applications while integrating advanced AI/ML models, including LLMs, NLP pipelines, and intelligent automation systems. This role is ideal for someone who enjoys working across both software engineering and applied AI.

Key Responsibilities

Backend Development (Django)

  • Design, develop, and maintain scalable web applications using Django/Django REST Framework (DRF).
  • Build secure and high-performance RESTful APIs for frontend and third-party integrations.
  • Optimize application performance, scalability, and database efficiency (PostgreSQL/MySQL).
  • Implement authentication, authorization, and security best practices (OWASP standards).

AI/ML & Intelligent Systems

  • Develop and integrate AI/ML models into production applications.
  • Work with Large Language Models (LLMs) for tasks like text generation, summarization, and chatbots.
  • Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases (FAISS, Pinecone).
  • Implement NLP pipelines for classification, sentiment analysis, and entity recognition.
  • Integrate AI services such as OpenAI (GPT), Whisper, or similar APIs into backend systems.

System Integration & Deployment

  • Develop scalable APIs using FastAPI/Django APIs for AI-powered services.
  • Deploy applications and models on cloud platforms (AWS, Azure, GCP).
  • Work with CI/CD pipelines, Docker, and containerized environments.
  • Collaborate with frontend developers, data scientists, and product teams.

Required Qualifications & Skills

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 2–4 years of experience in Python development with Django/DRF.
  • Hands-on experience with AI/ML or NLP projects (academic or professional).
  • Strong understanding of REST APIs, backend architecture, and database design.
  • Experience with Python libraries such as NumPy, Pandas, Scikit-learn, or Transformers.
  • Familiarity with LLMs, prompt engineering, or AI APIs (OpenAI, etc.).
  • Knowledge of Git and version control best practices.
  • Strong analytical, debugging, and problem-solving skills.
  • Good communication and teamwork abilities.

Preferred Skills (Nice-to-Have)

  • Experience with LangChain, LlamaIndex, or similar frameworks.
  • Familiarity with vector databases (FAISS, Pinecone, Weaviate).
  • Experience in Celery, Redis, or background task processing.
  • Knowledge of Docker, Kubernetes, and cloud deployment pipelines.
  • Exposure to MLOps practices and model lifecycle management.

What We Offer

  • Competitive salary with Fuel & Medical benefits.
  • Flexible working hours and strong work-life balance.
  • Opportunity to work on cutting-edge AI + backend systems.
  • Career growth in both software engineering and AI domains.
  • A collaborative, innovative, and inclusive work culture.

How to Apply

If you’re passionate about building AI-powered backend systems and want to work on next-generation technologies, we’d love to hear from you!

📩 Send your resume and GitHub/portfolio to [email protected] with the subject line:

“Application for Python Django & AI Engineer”

Apply on linkedinVisit company →

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