AI Engineer

Required Qualifications

• 6+ years of experience in AI/ML engineering
• Expertise in Python and frameworks like LangChain, LangGraph
• Strong development experience of GenAI application like RAG, Image generation
• Experience with LLMs and prompt engineering.
• Proficiency in deploying AI solutions on cloud platforms
• Experience with Model Context Protocol and Agentic AI Implementation, MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
• Lead the end-to-end lifecycle of AI projects—from data acquisition to deployment and monitoring.
• Design, build, and optimize complex ML/DL models, including large-scale and generative AI solutions.
• Architect scalable and maintainable AI pipelines using MLOps tools and practices.
• Collaborate with product managers, data scientists, and engineers to align AI solutions with business needs.
• Conduct code reviews, ensure best practices, and mentor junior engineers.
• Stay updated on emerging AI trends, tools, and research to drive innovation.