Location

On-site

Type

Full Time

Overview

We are seeking an experienced Python Developer to build and enhance AI-powered and Generative AI (GenAI) applications. The ideal candidate should have a strong background in backend development, Python, and AI/ML integrations, with hands-on experience in generative AI models like GPT, Stable Diffusion, and DALL-E. You will collaborate with AI engineers, data scientists, and front-end developers to develop scalable, high-performance applications leveraging cutting-edge GenAI technologies.

Key Responsibilities

• Develop, optimize, and maintain AI-powered and Generative AI applications using Python

• Integrate AI/ML models using TensorFlow, PyTorch, OpenAI APIs, Hugging Face Transformers, and LangChain

• Implement and fine-tune Large Language Models (LLMs) like GPT, Claude, and Llama for various applications

• Develop AI-driven chatbots, content generation tools, and automation frameworks using GenAI

• Optimize AI model inference for performance and cost efficiency using techniques like quantization and model distillation

• Build RESTful APIs and GraphQL endpoints for AI model integration

• Work with vector databases like FAISS, Pinecone, or Weaviate for AI-powered search and retrieval

• Implement AI ethics and bias mitigation strategies for responsible AI development

• Deploy AI models using cloud-based AI services (AWS SageMaker, Azure AI, Google Vertex AI)

• Enhance application scalability using containerization (Docker, Kubernetes) and cloud orchestration

• Stay updated with the latest GenAI advancements, tools, and frameworks

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, or a related field

• 3+ years of experience in backend development using Python and frameworks like Django or Flask

• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, or Scikit-learn)

• Hands-on experience with Generative AI models (GPT, DALL·E, Stable Diffusion, Llama)

• Proficiency in LLM fine-tuning, prompt engineering, and RAG-based AI applications

• Experience working with AI APIs (OpenAI, Hugging Face, Stability AI, Google Gemini)

• Strong knowledge of Natural Language Processing (NLP) and Computer Vision (CV)

• Familiarity with cloud-based AI services (AWS, Azure, Google AI APIs)

• Knowledge of vector databases for AI search and retrieval-based systems

• Experience with AI model deployment and monitoring in production environments

• Passion for AI-driven innovation and problem-solving in AI-powered applications