Software Engineer - GenAI (Full-Stack)

• Drive large cross-functional projects independently to completion
• Design and implement machine learning models and systems, focusing on integration with backend services using Go, and Python
• Collaborate with product and engineering teams to build intuitive user interfaces using React and TypeScript, enabling end-users to interact with ML-powered features.
• Maintain and develop the Go and GraphQL API
• Ensure the reliability, scalability, and performance of ML systems by leveraging best practices in software engineering, data processing, and model deployment.
• Stay current with advancements in machine learning and generative AI, and apply new techniques to enhance product capabilities and user experience

• Strong interest in development platforms, Data Engineering, MLOps, AI, CI/CD, infrastructure or making products for technical teams
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 2+ years relevant industry experience in a fast-paced, high growth tech environment building UI component libraries, design systems, and tools using TypeScript
• Demonstrated design and UX sensibilities
• Knowledge of API standards including REST or GraphQL

• We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. 
• We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is $150,000 - $180,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. 
• We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

*This is a remote role

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