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Full Stack AI Engineer

Harsha ReddyUnited StatesMIDPosted 12d ago
PythonMachine LearningDeep LearningPyTorchTensorFlowscikit-learnGenerative AILLMsRAGembeddingsvector databasesOpenAIAzure OpenAIAnthropic ClaudeAI coding toolsAzure cloud servicesDockerKubernetes/AKSCI/CD pipelinesAzure DevOpsGitHub ActionsGitMLOpsmodel evaluationmonitoringdeployment
About the Role We are looking for a skilled Full-Stack AI Engineer with hands-on experience building, deploying, and maintaining production-ready AI and ML applications. Key Responsibilities • Build, deploy, and maintain production-ready AI and ML applications • Work with machine learning and deep learning frameworks • Implement generative AI solutions using LLMs • Utilize AI coding tools and cloud services • Manage CI/CD pipelines and MLOps practices Requirements • Strong Python programming and software engineering fundamentals • Experience with Machine Learning and Deep Learning – PyTorch, TensorFlow, scikit-learn • Knowledge of Generative AI, LLMs, RAG, embeddings, and vector databases • Experience with OpenAI, Azure OpenAI, Anthropic Claude, or similar LLM providers • Familiarity with AI coding tools such as Claude Code and Cursor • Experience with Azure cloud services, Docker, Kubernetes/AKS • Proficiency in CI/CD pipelines using Azure DevOps or GitHub Actions • Git, MLOps, model evaluation, monitoring, and deployment skills • Experience building production-grade AI applications and agentic workflows Ideal Candidate A hands-on engineer with 4–6 years of experience in software development and at least 2 years of experience building and deploying AI/ML systems in production.

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