Senior Applied AI Full-Stack Engineer
- 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.
- 5+ years of experience in software development
- 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 product and user-centric mindset
- Bias for impact, and pragmatism to deliver real user value through AI.
- Strong communication skills that illustrate a clear, structured thought process and ability to explain complex technical concepts to non experts.
- 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.
- 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.
- Competitive salary
- Equity (we are post-series D & backed by some of the best VCs in the US)
- Fully covered private health insurance
- Paid parental leave
- Generous paid time off
- 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, health and wellness, and other activities
- Winter Break - Our offices are closed from Christmas to New Year's Day!
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