Step into a pivotal role where your expertise in Agentic AI, multi-agent workflows, and LLM integration will drive the development of cutting-edge intelligent systems, support cross-functional collaboration, and uphold security and compliance standards to transform how organizations leverage AI for strategic advantage.
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, enhancing 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.
Provide technical guidance and mentorship to junior team members, fostering skills development and knowledge sharing.
Collaborate effectively across cross-functional teams, ensuring alignment with project and organizational objectives.
Support team members in troubleshootings, code reviews, and architecture discussions to promote best practices.
Identify opportunities for cost savings in AI development and deployment processes, implementing effective solutions.
Participate in budget plannin