Applied Ai Engineer

Overview

• Drive innovation by developing AI-driven solutions to optimize workflows and decision-making processes.
• Collaborate with cross-functional teams to identify and implement impactful AI applications.
• Utilize advanced AI tools and frameworks to design production-ready systems.
• Contribute to strategic AI initiatives, enhancing organizational capabilities and efficiency.
• Engage in hands-on development, from prototyping to deployment and refinement.
• Work in a hybrid environment, balancing remote flexibility with onsite collaboration.
• Provide technical expertise and documentation to support AI adoption across teams.
• Stay at the forefront of AI advancements to drive continuous improvement.

Key Responsibilities & Duties

• Design, develop, and deploy AI-powered applications tailored to business needs.
• Integrate AI agents with APIs and internal systems to enhance functionality.
• Translate complex business requirements into effective AI solutions.
• Document processes and provide training to facilitate AI tool adoption.
• Evaluate emerging AI technologies for potential integration into workflows.
• Ensure robust data security and privacy in all AI implementations.
• Build and maintain efficient data pipelines supporting AI applications.
• Monitor AI system performance and implement iterative improvements.

Job Requirements

• Bachelor’s degree in a technical or analytical field is required.
• Minimum of 3 years of experience in AI application development.
• 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 teams.