Platform AI/ML Software Engineer

Future Secure AI is building AI technology for real-world enterprise problems across multiple industries. The Senior AI/ML Software Engineer will join the core Platform Team to build and scale infrastructure, integrate AI models, develop platform components and tooling, and ensure a reliable developer experience.

Responsibilities:

• Platform Development: Develop and maintain components of the FutureSecure.ai platform, with attention to scalability, reliability, and performance
• Distributed Systems: Contribute to distributed systems components, applying concepts like durable execution, idempotency, retry semantics, and circuit breakers
• AI/ML Integration: Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management
• Developer Tooling: Contribute to developer-facing SDKs and platform tooling, with attention to a clean, intuitive, and well-documented API surface
• Cloud Infrastructure: Help provision and manage cloud infrastructure (AWS, Azure, or GCP) using cloud-native patterns and managed services
• Containerization & Orchestration: Deploy, operate, and scale containerized services using Docker and Kubernetes
• Performance Optimization: Identify and address performance bottlenecks in application code and services
• Collaboration & Code Quality: Work closely with other engineers and researchers to deliver high-quality, well-tested code