We are seeking an experienced Python with AI Engineer with strong expertise in Python development, Artificial Intelligence, Generative AI, cloud technologies, and DevOps practices. The ideal candidate will develop and deploy AI-powered applications while leveraging Git, GitHub, Docker, Kubernetes, Terraform, and cloud platforms to build scalable, secure, and production-ready solutions.
Design, develop, test, and maintain scalable applications using Python.
Build AI-powered applications using Machine Learning, Generative AI, and Large Language Models (LLMs).
Develop and integrate AI models, REST APIs, and backend services using FastAPI, Flask, or Django.
Implement Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, and vector database integrations.
Work with AI frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers.
Integrate AI solutions with enterprise applications, databases, and external APIs.
Use Git and GitHub for source control, branching, pull requests, and collaborative development.
Develop and maintain CI/CD pipelines for automated testing, integration, and deployment.
Containerize Python and AI applications using Docker.
Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
Provision and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) practices.
Deploy and support applications on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (Google Cloud Platform).
Implement infrastructure automation, monitoring, logging, security, and performance optimization.
Collaborate with AI/ML engineers, DevOps teams, architects, and business stakeholders.
Follow coding standards, conduct code reviews, and maintain technical documentation.
