Python and Agentic expert

Job Description: Role Overview: As a pivotal member of the team, your expertise in Agentic AI, multi-agent workflows, and LLM integration will be instrumental in driving the development of cutting-edge intelligent systems. Your role will involve supporting cross-functional collaboration and upholding security and compliance standards to transform how organizations leverage AI for strategic advantage. You will be responsible for developing and implementing agentic AI systems and multi-agent workflows to enable complex, autonomous decision-making processes. Additionally, integrating large language models (LLMs) seamlessly within existing platforms and designing Python APIs for scalable AI features will be crucial aspects of your role. Key Responsibilities: - Develop and implement agentic AI systems and multi-agent workflows to enable complex, autonomous decision-making processes. - Integrate large language models (LLMs) seamlessly within existing platforms to enhance AI capabilities and user interactions. - Design and develop Python APIs for scalable AI features, ensuring high performance and reliability in production environments. - Conduct prompt engineering and optimize AI prompts for improved accuracy and efficiency in AI responses. - Write Python scripts and build SQL-driven data pipelines to support AI orchestration and data management. - Generate comprehensive technical documentation covering architecture, code, and deployment procedures. - Collaborate with cross-functional teams to align AI development with business goals and technical standards. - Provide technical guidance and mentorship to colleagues, fostering a culture of innovation and continuous learning. - Participate in architecture reviews, code reviews, and production support to uphold quality and security standards. - Contribute to cost optimization efforts and ensure security compliance throughout AI solution lifecycle. - Support team members in troubleshooting, code reviews, and architecture discussions to promote best practices. - Identify opportunities for cost savings in AI development and deployment processes, implementing efficient solutions. - Participate in budget planning and resource allocation for AI projects to optimize investment and outcomes. - Ensure adherence to technical coordination, architecture standards, and security policies. - Engage in ongoing production support, monitoring system performance, and maintaining high security standards. - Contribute to technical documentation, security reviews, and architecture assessments to ensure robustness and compliance. Qualifications Required: - Motivated professional with strong expertise in Python programming, agentic AI systems, API development, SQL databases, and backend architecture. - 56 years of Python experience and 12 years working on agentic AI and production systems. - Educational background in Computer Science, Engineering, or Information Technology. - Relevant certifications such as cloud, AI/ML, or Python. - Proficient in Python programming, capable of developing complex scripts and APIs for AI applications. - Expertise in designing and implementing agentic AI systems with a focus on autonomy and multi-agent coordination. - Strong experience in API development to enable seamless integration and communication between different AI components. - Knowledge of SQL databases and backend architecture principles to manage data efficiently and securely. - Skilled in AI orchestration and soft skills such as problem-solving, analytical thinking, and collaboration. (Note: Additional details about the company were not provided in the job description.) Job Description: Role Overview: As a pivotal member of the team, your expertise in Agentic AI, multi-agent workflows, and LLM integration will be instrumental in driving the development of cutting-edge intelligent systems. Your role will involve supporting cross-functional collaboration and upholding security and compliance standards to transform how organizations leverage AI for strategic advantage. You will be responsible for developing and implementing agentic AI systems and multi-agent workflows to enable complex, autonomous decision-making processes. Additionally, integrating large language models (LLMs) seamlessly within existing platforms and designing Python APIs for scalable AI features will be crucial aspects of your role. Key Responsibilities: - Develop and implement agentic AI systems and multi-agent workflows to enable complex, autonomous decision-making processes. - Integrate large language models (LLMs) seamlessly within existing platforms to enhance AI capabilities and user interactions. - Design and develop Python APIs for scalable AI features, ensuring high performance and reliability in production environments. - Conduct prompt engineering and optimize AI prompts for improved accuracy and efficiency in AI responses. - Write Python scripts and build SQL-driven data pipelines t