Agentic AI Engineer

As an experienced Agentic AI / GenAI Engineer, your role will involve designing LLM-based workflows, developing multi-agent systems, and optimizing AI outputs to solve complex business problems. You should have strong Python skills and hands-on experience with end-to-end GenAI architectures. Key Responsibilities: - Design and develop production-ready GenAI applications using LLMs. - Build and manage LLM workflows and multi-agent systems. - Perform advanced prompt engineering and optimize AI outputs. - Develop data pipelines and integrate AI models into applications. - Implement model evaluation, governance, and validation frameworks. - Translate business requirements and documentation into AI-driven solutions. - Collaborate with business and technical teams to deliver scalable AI systems. Required Skills: - Strong Python programming skills. - Hands-on experience with Generative AI and Large Language Models (LLMs). - Experience in multi-agent systems and prompt engineering. - Knowledge of GenAI architecture, model evaluation, and validation. - Ability to convert business logic into AI-powered workflows. Good to Have: - Exposure to commercial operations use cases such as call planning, alignment, or incentive compensation. As an experienced Agentic AI / GenAI Engineer, your role will involve designing LLM-based workflows, developing multi-agent systems, and optimizing AI outputs to solve complex business problems. You should have strong Python skills and hands-on experience with end-to-end GenAI architectures. Key Responsibilities: - Design and develop production-ready GenAI applications using LLMs. - Build and manage LLM workflows and multi-agent systems. - Perform advanced prompt engineering and optimize AI outputs. - Develop data pipelines and integrate AI models into applications. - Implement model evaluation, governance, and validation frameworks. - Translate business requirements and documentation into AI-driven solutions. - Collaborate with business and technical teams to deliver scalable AI systems. Required Skills: - Strong Python programming skills. - Hands-on experience with Generative AI and Large Language Models (LLMs). - Experience in multi-agent systems and prompt engineering. - Knowledge of GenAI architecture, model evaluation, and validation. - Ability to convert business logic into AI-powered workflows. Good to Have: - Exposure to commercial operations use cases such as call planning, alignment, or incentive compensation.