Senior Software Engineer, Applied Ai (Ai Engineering)
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Описание вакансии
TL;DR
Senior Software Engineer, Applied AI (AI Engineering): Building AI-native analytics platforms and first-party applications that embed governed data directly into operational workflows with an accent on AI-enabled user experiences and scalable backend services. Focus on integrating AI/LLM capabilities into real-world applications and influencing how data is consumed and operationalized across the company.
Location: New York, NY/Bellevue, WA. While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.
Salary: $165,000 to $242,000
Company
delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.
What you will do
- Design and build production-grade, full-stack applications that make data accessible and actionable.
- Develop AI-enabled user experiences and intuitive interfaces.
- Integrate AI/LLM capabilities into real-world applications.
- Develop scalable backend services.
- Work across the stack, from React-based frontends to backend services running on Kubernetes.
Requirements
- 7+ years of experience building production-grade software applications, including both backend services and modern web frontends.
- Strong proficiency in backend (Python, Go, Java, C#) and frontend (JavaScript, TypeScript) programming languages.
- Strong experience building modern frontend applications using frameworks such as React and Next.js.
- Hands-on experience with containerization and deployment tooling (e.g., Docker, Helm).
- Experience building and operating APIs and services (e.g., REST, gRPC) with a focus on performance and reliability.
- Experience developing and deploying AI/ML/LLM-powered applications in production environments.
Nice to have
- Experience building AI-native applications such as text-to-SQL interfaces, copilots, or automated insight-generation systems.
- Experience designing and building scalable, distributed systems deployed in cloud-native environments (e.g., Kubernetes).
- Familiarity with real-time data processing or streaming architectures.
- Experience building internal platforms or tools that enable self-service analytics or decision-making.
Culture & Benefits
- Medical, dental, and vision insurance - 100% paid for by .
- Flexible Spending Account and Health Savings Account.
- Tuition Reimbursement and Employee Stock Purchase Program.
- Mental Wellness Benefits and Family-Forming support.
- Flexible PTO and a casual work environment.
- Catered lunch each day in our office and data center locations.
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