About the role

What you’ll do

• Design, develop, and deploy enterprise-grade ML, Generative AI, and agentic AI solutions
• Build LLM-powered applications and RAG pipelines
• Develop AI agents and document intelligence workflows
• Ensure scalability, security, evaluation, and responsible AI practices
• Implement human-in-the-loop workflows and AI-assisted review solutions

What you’ll need

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field, or equivalent experience
• 5+ years building and deploying AI/ML solutions, including recent hands-on experience with LLMs and Generative AI
• Strong expertise in Machine Learning, Deep Learning, NLP, transformer architectures, and PyTorch or TensorFlow
• Hands-on experience with Python, LLMs, RAG, vector databases, AI agents, and frameworks such as LangChain, LangGraph, or LlamaIndex
• Experience with Azure AI/Azure OpenAI, AWS SageMaker, or Google Vertex AI, plus SQL, data engineering, and ML pipeline development
• Experience with Docker, Kubernetes, CI/CD, cloud-native architectures, LLM evaluation, MLOps, and responsible AI practices

Original job description