Senior Full Stack Software Engineer (Agentic AI)

Join Sift, a leading AI company, as a Senior Full Stack Software Engineer. In this role, you will have real product ownership and autonomy, working directly with customers to understand their needs and drive product development. You will work across the entire stack, from frontend development to backend APIs, and have the opportunity to design and implement agentic systems that reason over large-scale time-series data. This is a unique opportunity to be at the forefront of AI technology and make a significant impact in the field.

• Conception, design, and implementation of agentic systems that reason over large-scale time-series data and hardware domain context.
• Direct communication with customers to understand their needs and translate them into product features, from MVP to iterations.
• Development and maintenance of Sift’s MCP server, enabling both agents and customers’ AI tools to query telemetry directly.
• Get excited about owning a product area: talking to customers, deciding what to build, and shipping it
• Are curious about new AI products: you try new agents, models, and features as they ship, and have opinions about what makes them good
• Have built APIs (REST, gRPC, etc.) or backend services with technologies like Go, Python, Rust, or similar
• Have built frontend web applications with technologies like React, NextJS, or similar
• If this role excites you, apply even if you don’t check every box
• Have 8+ years of professional software engineering experience
• A background in time-series data, scientific computing, or hardware test and telemetry
• A personal ecosystem of AI dev tooling: custom agents, skills, scripts, or workflows built to ship faster
• Shipped LLM-powered features
• Shipped products to users at scale: large data volumes, significant active user counts, or deep technical complexity
• Built internal agentic tooling that accelerates an engineering org
• Operated services in production (Kubernetes, observability, incident response)
• Worked with sandboxed or isolated execution of generated code
• Built agentic systems: multi-step tool use, planning loops, context management, and evals
• U.S. Person Required: Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations
• Designed tool ecosystems for agents, including MCP