AI Engineering Lead

As an AI Engineering Lead at our company, you will be responsible for architecting and delivering production-grade AI solutions. Your expertise in Agentic AI, Multi-Agent Systems, Cloud Platforms, and MLOps will be crucial in building and scaling AI-powered applications from development to production. Your role will involve hands-on work and leadership in the AI domain. Key Responsibilities: - Architect and deliver production-grade AI solutions - Utilize expertise in Agentic AI, Multi-Agent Systems, Cloud Platforms, and MLOps - Build and scale AI-powered applications from development to production - Work with technologies such as AWS, Azure, GCP, PyTorch, TensorFlow, Docker, Kubernetes, etc. - Collaborate with teams to implement CI/CD, Microservices, and Distributed Systems Qualifications Required: - 812+ years of experience in AI engineering - Strong expertise in Agentic AI, Multi-Agent Systems, Cloud Platforms, and MLOps - Proficiency in Python, PyTorch, TensorFlow - Experience with CI/CD, Docker, Kubernetes, Microservices, and Distributed Systems - Ability to lead and work in a team environment Please note that this is a full-time position with a salary range of 999,641.99 - 2,367,163.66 per year. The work location is in person. As an AI Engineering Lead at our company, you will be responsible for architecting and delivering production-grade AI solutions. Your expertise in Agentic AI, Multi-Agent Systems, Cloud Platforms, and MLOps will be crucial in building and scaling AI-powered applications from development to production. Your role will involve hands-on work and leadership in the AI domain. Key Responsibilities: - Architect and deliver production-grade AI solutions - Utilize expertise in Agentic AI, Multi-Agent Systems, Cloud Platforms, and MLOps - Build and scale AI-powered applications from development to production - Work with technologies such as AWS, Azure, GCP, PyTorch, TensorFlow, Docker, Kubernetes, etc. - Collaborate with teams to implement CI/CD, Microservices, and Distributed Systems Qualifications Required: - 812+ years of experience in AI engineering - Strong expertise in Agentic AI, Multi-Agent Systems, Cloud Platforms, and MLOps - Proficiency in Python, PyTorch, TensorFlow - Experience with CI/CD, Docker, Kubernetes, Microservices, and Distributed Systems - Ability to lead and work in a team environment Please note that this is a full-time position with a salary range of 999,641.99 - 2,367,163.66 per year. The work location is in person.