Full Stack Software Engineer (Agentic AI)

Join Sift, a company focused on revolutionizing the way hardware engineers interact with telemetry data. As a Full Stack Software Engineer, 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 services, and have the opportunity to make a significant impact in the field of AI and hardware engineering.

• Conception, development, and maintenance of the Sift Agents product, including both frontend and backend components.
• Direct interaction with customers to understand their needs and translate those into product features and improvements.
• Designing, shipping, and operating agentic systems that reason over large-scale time-series data and hardware domain context.
• Have 3+ years of professional software engineering experience
• If this role excites you, apply even if you don’t check every box
• Get excited about owning a product area: talking to customers, deciding what to build, and shipping it
• Have built APIs (REST, gRPC, etc.) or backend services with technologies like Go, Python, Rust, or similar
• 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 frontend web applications with technologies like React, NextJS, or similar
• Operated services in production (Kubernetes, observability, incident response)
• A background in time-series data, scientific computing, or hardware test and telemetry
• Shipped LLM-powered features
• A personal ecosystem of AI dev tooling: custom agents, skills, scripts, or workflows built to ship faster
• Worked with sandboxed or isolated execution of generated code
• Built internal agentic tooling that accelerates an engineering org
• 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
• Built agentic systems: multi-step tool use, planning loops, context management, and evals
• Designed tool ecosystems for agents, including MCP
• Shipped products to users at scale: large data volumes, significant active user counts, or deep technical complexity