Python Developer - Gen AI Engineer

You are a skilled Python Developer with experience in Generative AI (GenAI) and modern AI-driven applications. Your main responsibility will be to work on various software projects using Python as the primary programming language and contribute to AI-powered applications, automation scripts, backend services, and cloud-based solutions. Key Responsibilities: - Work on GenAI-powered applications, integrating LLMs using OpenAI, Gemini AI, Hugging Face, or other AI providers. - Develop AI-driven features using Python frameworks like LangChain, LlamaIndex, LangGraph, or Haystack for conversational AI and RAG (Retrieve-Augment-Generate) workflows. - Build AI-based automation scripts, chatbots, and virtual assistants leveraging GPT, Gemini, or fine-tuned custom models. - Work on backend development using Python along with Django, Flask, or FastAPI to build AI-driven web applications. - Design and optimize prompt engineering and AI workflow pipelines for seamless AI model integration. - Implement event-driven architectures using Kafka, Redis Streams, or Pub/Sub for real-time AI-powered applications. - Use vector databases (e.g., FAISS, Weaviate, Pinecone, ChromaDB) for efficient semantic search and embeddings-based retrieval. - Develop and integrate AI APIs with cloud-based AI services from AWS, Azure OpenAI, and Google Vertex AI. - Ensure data security and privacy compliance when handling sensitive AI data and user interactions. - Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives. Qualifications & Skills: Must Have: - 3 - 6 years of experience in Python programming, with knowledge of at least one web framework (Django, Flask, or FastAPI). - Experience with GenAI and LLM-based applications, including LangChain, OpenAI API, or Hugging Face Transformers. - Hands-on experience with Vector Databases and embedding models for AI-driven search and retrieval. - Experience in database technologies (SQL & NoSQL) with ORM implementations. - Knowledge of cloud platforms (AWS, Azure, GCP) and AI-based cloud APIs. - Proficiency in Git, Bitbucket, or other version control tools. - Experience with event-driven programming in Python (Kafka, RabbitMQ, Celery, etc.). - Familiarity with Python ML/NLP libraries such as spaCy, NLTK, scikit-learn, TensorFlow, PyTorch. Good to Have: - Experience in fine-tuning LLMs and custom AI model training. - Hands-on experience with OCR tools for document AI solutions. - Understanding of DevOps, CI/CD pipelines, and MLOps practices. - Experience with Django REST Framework (DRF) for building AI-powered APIs. - Strong prompt engineering skills to enhance AI model performance. You are a skilled Python Developer with experience in Generative AI (GenAI) and modern AI-driven applications. Your main responsibility will be to work on various software projects using Python as the primary programming language and contribute to AI-powered applications, automation scripts, backend services, and cloud-based solutions. Key Responsibilities: - Work on GenAI-powered applications, integrating LLMs using OpenAI, Gemini AI, Hugging Face, or other AI providers. - Develop AI-driven features using Python frameworks like LangChain, LlamaIndex, LangGraph, or Haystack for conversational AI and RAG (Retrieve-Augment-Generate) workflows. - Build AI-based automation scripts, chatbots, and virtual assistants leveraging GPT, Gemini, or fine-tuned custom models. - Work on backend development using Python along with Django, Flask, or FastAPI to build AI-driven web applications. - Design and optimize prompt engineering and AI workflow pipelines for seamless AI model integration. - Implement event-driven architectures using Kafka, Redis Streams, or Pub/Sub for real-time AI-powered applications. - Use vector databases (e.g., FAISS, Weaviate, Pinecone, ChromaDB) for efficient semantic search and embeddings-based retrieval. - Develop and integrate AI APIs with cloud-based AI services from AWS, Azure OpenAI, and Google Vertex AI. - Ensure data security and privacy compliance when handling sensitive AI data and user interactions. - Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives. Qualifications & Skills: Must Have: - 3 - 6 years of experience in Python programming, with knowledge of at least one web framework (Django, Flask, or FastAPI). - Experience with GenAI and LLM-based applications, including LangChain, OpenAI API, or Hugging Face Transformers. - Hands-on experience with Vector Databases and embedding models for AI-driven search and retrieval. - Experience in database technologies (SQL & NoSQL) with ORM implementations. - Knowledge of cloud platforms (AWS, Azure, GCP) and AI-based cloud APIs. - Proficiency in Git, Bitbucket, or other version control tools. - Experience with event-driven programming in Python (Kafka, RabbitMQ, Celery, etc.). - Familiarity with Python ML/NLP libraries such as spaCy, NLTK, scikit-lea