Python Developer

6 days ago

Islamabad, Islamabad, Pakistan StoneFly, Inc. Full time $30,000 - $60,000 per year

We are looking for a skilled
Automation Engineer / Python Developer
to join our engineering team. You will play a key role in integrating AI tools and automation workflows into our existing web applications. The ideal candidate should have hands-on experience with Python, APIs, and AI model integration (e.g., OpenAI, Hugging Face, LangChain, or similar).

You will collaborate with our product and data teams to design, develop, and deploy automation systems, and assist in training and fine-tuning AI models to improve system performance and accuracy.

Key Responsibilities

  • Develop automation scripts and backend logic in Python to streamline internal and external workflows.
  • Integrate and manage AI APIs (e.g., OpenAI, Anthropic, Hugging Face, Google Vertex AI, etc.) into web applications.
  • Build connectors or middleware between our applications and third-party AI tools.
  • Collaborate with the data and ML teams to train, fine-tune, and deploy AI models.
  • Design and implement data pipelines, monitoring tools, and process automation frameworks.
  • Maintain and improve existing automation systems and ensure performance optimization.
  • Write clean, reusable, and efficient code following best practices.
  • Support debugging, testing, and deployment processes in production environments.

Required Skills & Qualifications

  • 3+ years of professional experience in Python development.
  • Strong understanding of REST APIs, webhooks, and automation frameworks.
  • Experience working with AI/ML APIs (e.g., OpenAI, LangChain, Hugging Face).
  • Familiarity with cloud services (AWS, GCP, or Azure).
  • Experience with data handling, ETL, or pandas/Numpy for preprocessing.
  • Proficiency in version control (Git) and CI/CD pipelines.
  • Basic knowledge of web technologies (JavaScript, , or Django/Flask backend frameworks).
  • Excellent problem-solving and communication skills.

Preferred Skills

  • Experience building chatbots, RAG systems, or AI-driven assistants.
  • Familiarity with Docker and containerised deployments.
  • Understanding of prompt engineering and vector databases (e.g., Pinecone, Chroma, Weaviate).
  • Knowledge of automation tools like Selenium, Playwright, or RPA frameworks.
  • Background in data science, NLP, or ML model integration.

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