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backendpythondeveloper(gnerative AI Awareness)

2 weeks ago

Bengaluru, Karnataka, India Appz Global Tech Pvt. Full time ₹ 9,00,000 - ₹ 12,00,000 per year

About the RoleWe are excited to share an opportunity with you for the role of Backend Python Developer (with Generative AI Exposure) at our Bangalore office. If you are passionate about backend engineering and have experience or exposure to Generative AI technologies, this could be a great fit for you.Role: Backend Python Developer (Generative AI Awareness)

Location: Bangalore

Experience: 5+ YearsKey Responsibilities

  • Design, develop, and maintain backend systems and RESTful APIs using Python frameworks (Django/Flask/FastAPI).
  • Collaborate with AI/ML teams to integrate Generative AI models (LLMs, Diffusion, Transformers, etc.) into products.
  • Optimize backend services for scalability, performance, and security.
  • Work with PostgreSQL/MySQL/NoSQL databases, ensuring efficient query design and optimization.
  • Implement authentication, authorization, and security best practices (OAuth2, JWT, etc.).
  • Containerize and deploy applications using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
  • Contribute to CI/CD pipelines, automation, and system monitoring.
  • Stay updated with emerging Generative AI tools, APIs (OpenAI, Hugging Face, LangChain, etc.), and recommend adoption where relevant.

Required Skills & Experience

  • 5+ years of experience in Python backend development.
  • Strong expertise in Django / DRF, Flask, or FastAPI.
  • Solid understanding of REST API design, microservices, and distributed systems.
  • Experience with databases: PostgreSQL, MySQL, MongoDB, or Redis.
  • Hands-on with Docker, Kubernetes, and cloud services (AWS/GCP/Azure).
  • Exposure to Generative AI:
  • Using APIs (OpenAI, Hugging Face, Anthropic, etc.)
  • Familiarity with LangChain, RAG, vector databases (Pinecone, Weaviate, FAISS)
  • Basic knowledge of fine-tuning and prompt engineering.
  • Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
  • Strong problem-solving, debugging, and performance optimization skills.

Good to Have

  • Experience with event-driven systems (Kafka, RabbitMQ, Celery).
  • Knowledge of MLOps workflows for deploying and scaling AI models.
  • Familiarity with front-end frameworks ) for API integration.
  • Understanding of data pipelines and ETL processes.

Job Type: Full-time

Work Location: In person