Job Description
<h3>📋 Description</h3> • Lead the design and implementation of scalable, high-performance software systems for Generative AI applications.
• Collaborate with data science team and other engineering teams to translate cutting-edge algorithms and models, including Large Language Models (LLMs), into production-ready software solutions.
• Optimize algorithms and workflows to improve performance, efficiency, and scalability, leveraging LLMs where applicable.
• Conduct code reviews, provide technical guidance, and mentor other engineers to ensure code quality and best practices.
• Construct and maintain data pipelines, engage in data upkeep, and contribute to the training and automation of all aspects of the lifecycle of LLMs.
• Stay updated on the latest advancements in AI research and technology, including developments in LLMs, and apply them to enhance our Generative AI engineering capabilities.
• Contribute to architectural decisions and technical strategy to drive innovation and maintain competitive advantage, incorporating LLMs where suitable.
• Research, develop, and implement cybersecurity measures to safeguard our Generative AI systems against potential threats, including those specific to Generative AI.
• Collaborate with engineering team to assess risks, implement security best practices, and ensure compliance with industry standards and regulations, particularly in the context of LLM usage.
• Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.
• Thrive in an environment that highly values trust. <h3>🎯 Requirements</h3> • Bachelor's degree in Computer Science or related STEM field
• Prior work experience with big data and microservices
• Strong proficiency in at least one of the three programming languages Go (Golang), Rust or Python.
• Experience building and deploying scalable, distributed systems (i.e. sharding, partitioning, concurrency, etc.) in cloud environments (e.g. AWS).
• Excellent problem-solving skills, with the ability to analyze complex issues and propose effective solutions.
• Strong communication skills and the ability to collaborate effectively with multidisciplinary teams.
• Proven track record of delivering high-quality software products in a fast-paced, agile environment. <h3>🏖️ Benefits</h3> • Remote-friendly and flexible work culture
• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe