Role responsibilities
Architect and build scalable Generative AI systems and agentic AI applications, from prototyping through production deployment. Collaborate with product, engineering, and business teams to define technical requirements and translate them into robust AI solution architectures.
Requirements
Minimum 2+ years of hands-on experience in Generative AI and 8+ years overall in traditional Machine Learning is required. Strong hands-on experience with LLMs, Python, and modern neural network architectures is essential.
Key skills
Generative AI, Machine Learning, LLMs, Prompt Engineering, Python, Neural Networks, NLP, OpenAI, Cloud Platforms, MLOps, API Development, Microservices, AI Governance, Statistical Analysis, Solution Design, Documentation
Keywords
Generative AI, Agentic AI, Machine Learning, LLMs, Prompt Engineering, Python, Neural Networks, Transformers, CNNs, RNNs, TensorFlow, PyTorch, Scikit-learn, NLP, OpenAI, Cloud Platforms, MLOps, Microservices, APIs, AI Governance, Statistical Analysis, Solution Design, LangChain, LangGraph, AI Observability, Model Optimization, Compliance, Security, Healthcare, Financial Services