Forward Deployed Engineer

Job Description

You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model building organizations in the space. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 2 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure.