Python and Agentic expert

Role Overview:

As a pivotal member of the team, your expertise in Agentic AI, multi-agent workflows, and LLM integration will drive the development of cutting-edge intelligent systems. Your role will involve enabling complex, autonomous decision-making processes, integrating large language models (LLMs), and designing scalable AI features through Python APIs. You will collaborate effectively with cross-functional teams, provide technical guidance, mentorship, and contribute to cost optimization efforts while ensuring security compliance throughout the AI solution lifecycle.

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, SQL databases, and backend architecture principles.
• Exceptional problem-solving skills, strong analytical thinking, excellent communication skills, and ability to work collaboratively across diverse teams. Role Overview:

As a pivotal member of the team, your expertise in Agentic AI, multi-agent workflows, and LLM integration will drive the development of cutting-edge intelligent systems. Your role will involve enabling complex, autonomous decision-making processes, integrating large language models (LLMs), and designing scalable AI features through Python APIs. You will collaborate effectively with cross-functional teams, provide technical guidance, mentorship, and contribute to cost optimization efforts while ensuring security compliance throughout the AI solution lifecycle.

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 optimizatio