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Python Developer - AI/Generative AI Job Summary We are seeking a talented and cutting-edge Python Developer with AI expertise to design, develop, and deploy intelligent applications powered by Machine Learning and Generative AI technologies. The ideal candidate will have strong Python programming skills, experience building scalable backend systems, and hands-on experience with AI/ML frameworks, Large Language Models (LLMs), and cloud-based AI solutions. Key Responsibilities - Design, develop, test, and maintain Python-based applications and APIs. - Build and integrate AI/ML models into production environments. - Develop Generative AI solutions using LLMs such as GPT, Llama, Claude, or similar models. - Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases. - Create and optimize data processing workflows for AI applications. - Collaborate with data scientists, product managers, and business stakeholders to deliver AI-driven solutions. - Develop RESTful APIs using FastAPI, Flask, or Django. - Fine-tune, evaluate, and monitor machine learning models for performance and accuracy. - Deploy applications on cloud platforms such as Azure, AWS, or Google Cloud. - Ensure code quality through unit testing, code reviews, and best development practices. - Monitor application performance, troubleshoot issues, and implement enhancements. Required Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. - 2+ years of experience in Python development. - Strong understanding of Object-Oriented Programming (OOP) and software design principles. - Experience with Python frameworks such as FastAPI, Flask, or Django. - Proficiency in SQL and database technologies such as PostgreSQL, MySQL, or MongoDB. - Hands-on experience with AI/ML libraries including: - NumPy - Pandas - Scikit-learn - TensorFlow or PyTorch - Experience working with REST APIs and microservices architecture. - Knowledge of Git, CI/CD pipelines, and Agile development methodologies. Preferred Qualifications - Experience with Generative AI and Large Language Models (LLMs). - Hands-on experience with: - LangChain - LlamaIndex - OpenAI/Azure OpenAI Services - Hugging Face - Knowledge of Vector Databases: - Pinecone - FAISS - ChromaDB - Azure AI Search - Experience with Docker and Kubernetes. - Familiarity with MLOps concepts and AI model deployment. - Experience building AI chatbots, recommendation systems, document intelligence solutions, or AI agents. Technical Skills Programming & Development - Python - REST API Development - FastAPI / Flask / Django - SQL & NoSQL Databases AI & Machine Learning - Machine Learning - Deep Learning - Natural Language Processing (NLP) - Generative AI - Prompt Engineering - RAG Architecture Cloud & DevOps - Microsoft Azure / AWS / GCP - Docker - Kubernetes - GitHub Actions / Azure DevOps Soft Skills - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced, agile environment. - Passion for learning emerging AI technologies and industry trends. Preferred Certifications - Microsoft Azure AI Engineer Associate - Microsoft Azure Fundamentals (AZ-900) - Azure AI Fundamentals (AI-900) - AWS Machine Learning Specialty - Google Professional Machine Learning Engineer Keywords: Python, AI, Machine Learning, Generative AI, LLM, GPT, LangChain, RAG, FastAPI, Azure OpenAI, TensorFlow, PyTorch, NLP, Vector Database, MLOps. .
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.