Senior Applied AI Engineer, Front

• 5+ years of experience in software development, with a strong focus on AI and machine learning projects
• Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies
• Strong experience with agentic methodologies, prompting techniques, RAG pipelines, evaluation mechanisms and fine-tuning LLMs preferred
• High learning agility - you’re excited when you encounter a problem you haven’t seen before
• Strong communication skills that illustrate a clear, structured thought process
• Excellent problem-solving abilities and the capacity to work both independently and as part of a team
• Proficiency building production-grade web applications and demonstrated expertise in languages and concepts necessary to deliver these. Eg: Python, JS, TS, Database systems, etc
• Strong communication skills, capable of explaining complex technical concepts to non-experts
• Deep knowledge of algorithms, data structures, and principles of software engineering

Desirable

• AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation
• The Core AI team at Front leverages AI to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising
• This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale
• Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on agentic applications to automate resolving user inquiries
• Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities
• Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends
• Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency
• Dive deep into real-world data, ensuring high-quality model training and iteration
• Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards
• Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate