Artificial Intelligence Systems Developer

2 weeks ago

nadiad, India beBeeAI Full time

Chief AI Solutions ArchitectWe are seeking an experienced AI professional to design and deploy scalable AI solutions. As part of a cross-functional team, you will work on cutting-edge projects involving retrieval-augmented generation (RAG), agentic frameworks, and end-to-end MLOps workflows.Analyze business problems and design AI solutions from scratch, including architecture, approach selection, and technical feasibility assessment.Design, develop, and deploy production-ready AI solutions with focus on scalability and reliability.Implement retrieval-augmented generation (RAG) systems and fine-tuning techniques.Build and integrate AI frameworks and agentic systems to solve complex business problems.Apply advanced prompt engineering techniques and output post-processing strategies.Design and implement MLOps/LLMOps pipelines including CI/CD, model versioning, and monitoring.Lead end-to-end project delivery and mentor junior engineers.Work with transformer-based models and optimize LLM integration patterns.Design APIs, microservices, and event-driven architectures for AI systems.Collaborate across teams to translate AI capabilities into business value.Key Qualifications:6+ years total experience with at least 1 year as a Data Scientist and remaining years in ML/AI Engineering or MLOps roles.Proven experience working with early LLM architectures (BERT, RoBERTa, GPT-2, T5, or similar transformer models).Demonstrable track record of deploying LLM-based models to production environments.Expert-level Python programming and strong software engineering fundamentals.Experience with Azure cloud services and containerization for AI/ML workloads.Hands-on experience with MLOps tools and practices (model deployment, monitoring, experiment tracking).Strong understanding of both data science methodologies and production system design.Experience with version control (Git) and Agile/Scrum development practices.

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