Senior Applied AI Engineer
Yesterday
Description
• Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences. • 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.
Requirements
• 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. • Knowledge in specialized machine learning areas (deep learning, reinforcement learning). • Experience in SaaS or multiplayer application machine learning implementations.
Benefits
• Competitive salary • Equity (we are post-series D & backed by some of the best VCs in the US) • Private health insurance, including plan options at no cost to employees • Focus Fridays - learn more here! • Flexibility to work from home 3 days/week (unless posted as a full-remote role) • Mental health support with Workplace Options • Family planning support with Maven • 75 Euro per month Lifestyle Stipend to spend on fitness and other activities
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