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Python Full Stack Developer

Diverse Lynx

Full Stack Developer (Python & JavaScript) – AI Experience

Location: Remote

Employment Type: Full-time

Experience Required: 8-10 years

Job Summary

We are seeking a skilled Full Stack Developer with strong experience in Python, JavaScript, and AI/ML-driven applications. The ideal candidate will design, develop, and maintain scalable web applications while integrating AI capabilities such as machine learning models, data pipelines, or LLM-based features into production systems.

Key Responsibilities
  • Design, develop, and maintain full-stack web applications using Python and JavaScript
  • Build and optimize backend services using frameworks such as Django, Flask, or FastAPI
  • Develop frontend interfaces using React, Next.js, Vue.js, or Angular
  • Integrate AI/ML models into applications (prediction APIs, NLP, recommender systems, chatbots, etc.)
  • Work with RESTful APIs and GraphQL for data exchange
  • Collaborate with data scientists to deploy and monitor ML models in production
  • Optimize application performance, scalability, and security
  • Write clean, maintainable, and testable code
  • Participate in code reviews and system design discussions
  • Deploy and manage applications on cloud platforms (AWS, GCP, Azure)
Required Skills & Qualifications
  • Strong proficiency in Python
  • Solid experience with JavaScript (ES6+)
  • Frontend frameworks: React / Next.js / Vue / Angular
  • Backend frameworks: Django / Flask / FastAPI
  • Experience with AI/ML concepts (supervised/unsupervised learning, NLP, LLMs, etc.)
  • Hands-on experience with AI libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face
  • Database experience with PostgreSQL, MySQL, MongoDB
  • Familiarity with Docker and CI/CD pipelines
  • Understanding of authentication, authorization, and security best practices
Preferred Skills
  • Experience with LLMs, ChatGPT/OpenAI APIs, LangChain, vector databases (Pinecone, FAISS, Weaviate)
  • Knowledge of MLOps tools (MLflow, Airflow, Kubeflow)
  • Experience with microservices architecture
  • Exposure to cloud-native services and serverless computing
  • Knowledge of data visualization and analytics tools
Vacancy posted 1 day ago
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