Python Developer

About Us Netlink is a global technology consulting and digital transformation company that helps organizations leverage emerging technologies to accelerate innovation and business growth. Our expertise spans cloud, data, AI, enterprise applications, and intelligent automation, enabling clients to build scalable, future-ready digital solutions. We are looking for a passionate Python Developer (AI/ML) who is excited to work on cutting-edge Artificial Intelligence and Generative AI technologies. This role offers an opportunity to build intelligent applications, AI-powered automation solutions, and enterprise-grade AI products while collaborating with cross-functional teams. Job Description Netlink is seeking a skilled Python Developer (AI/ML) with experience in developing AI-powered applications using modern Python frameworks and Generative AI technologies. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, REST APIs, and AI model integration. You will collaborate with AI architects, data scientists, and product teams to develop scalable, secure, and production-ready AI applications while following modern software engineering and MLOps best practices. Key Responsibilities

Develop scalable AI-powered applications using Python and modern web frameworks such as FastAPI, Flask, or Django. Build and integrate AI solutions leveraging Large Language Models (LLMs), Generative AI, and Natural Language Processing (NLP). Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases. Integrate third-party AI APIs including OpenAI, Hugging Face, and other foundation model providers. Develop and consume RESTful APIs for enterprise application integration. Build AI-powered chatbots, virtual assistants, and intelligent automation solutions. Deploy AI applications using Docker, Kubernetes, and cloud platforms. Work with SQL, NoSQL, and vector databases to manage application and AI data. Implement workflow automation using LangChain, Airflow, Prefect, or similar orchestration frameworks. Optimize AI models for performance using GPU acceleration and inference optimization techniques. Fine-tune and customize open-source foundation models such as LLaMA, Falcon, and Mistral. Implement MLOps practices including model versioning, CI/CD, monitoring, and deployment automation. Collaborate with cross-functional teams to deliver high-quality AI solutions aligned with business requirements. Write clean, maintainable, and well-documented code following software engineering best practices. Stay updated with emerging AI technologies and contribute to continuous innovation initiatives. Key Requirements Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field. 2–7 years of experience in Python application development. Hands-on experience building AI/ML applications using Python. Strong understanding of Generative AI, LLMs, and Retrieval-Augmented Generation (RAG). Experience with REST APIs and third-party AI service integration. Familiarity with vector databases and semantic search technologies. Experience deploying applications using Docker and Kubernetes. Knowledge of SQL, NoSQL, and cloud-native application development. Understanding of MLOps concepts and AI model lifecycle management. Strong analytical, debugging, and problem-solving skills. Excellent communication and teamwork abilities.