Applied Ai Engineer

Overview

• Develop and implement cutting-edge AI solutions to address complex business challenges and optimize workflows.
• Collaborate with cross-functional teams to identify opportunities for AI-driven innovation and efficiency improvements.
• Utilize advanced AI tools and frameworks to design scalable, production-ready systems.
• Contribute to strategic initiatives by integrating AI technologies into organizational processes.
• Engage in hands-on development, from prototyping to deployment and refinement of AI applications.
• Stay updated on emerging AI trends and technologies to drive continuous improvement and innovation.
• Provide technical expertise and documentation to support AI adoption across diverse teams.
• Work in a hybrid environment, balancing remote flexibility with onsite collaboration.

Key Responsibilities & Duties

• Design, develop, and deploy AI-powered applications tailored to specific business needs and objectives.
• Integrate AI agents with APIs and internal systems to enhance functionality and user experience.
• Translate complex business requirements into effective AI solutions and actionable insights.
• Document processes and provide training to facilitate seamless AI tool adoption across teams.
• Evaluate emerging AI technologies for potential integration into workflows and strategic initiatives.
• Ensure robust data security and privacy in all AI implementations and processes.
• Build and maintain efficient data pipelines to support AI applications and analytics.
• Monitor AI system performance and implement iterative improvements to enhance reliability and effectiveness.

Job Requirements

• Bachelor’s degree in a technical or analytical field is required.
• Minimum of 3 years of experience in AI application development and deployment.
• Proficiency in Python and full-stack development methodologies.
• Experience with LLMs, AI APIs, and fine-tuning machine learning models.
• Familiarity with API integrations and backend service architecture.
• Knowledge of vector databases and semantic search techniques.
• Experience deploying applications in cloud environments like AWS or Azure.
• Exposure to financial systems or trading workflows is advantageous.
• Strong communication skills for effective collaboration across multidisciplinary teams.