Senior Software Engineer, Front

• 3+ 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 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

• We are seeking an Applied AI Engineer with a bias for impact to join our dynamic engineering team
• This role is crucial for developing and implementing generative AI applications to innovate our product offerings, focusing on areas like automated content creation, data synthesis, and augmentation
• You'll be pivotal in bringing these innovative solutions to life, from conception to deployment, and working alongside cross-functional teams to integrate these technologies seamlessly into our products
• As an Applied AI Engineer, you'll play a critical role in quickly developing and testing solutions, with a primary focus on gathering customer feedback as swiftly as possible to drive meaningful improvements and innovation
• This team builds AI features across the entire breadth of the Front product, so the ability to quickly ramp up on unknown areas of the code will be instrumental
• Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on applications like text generation, classification, RAG systems, etc
• 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