Senior Backend Software Engineer (Agentic AI)

Join Sift, a cutting-edge AI company, as a Senior Backend 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 design and build agentic systems that reason over large-scale time-series data and hardware domain context, and develop and maintain Sift's MCP server. This is a product engineering role, not a research role, and you will be working with a wide range of technologies. Enjoy top-tier health insurance, unlimited PTO, and a collaborative work environment.

• 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 review workflows and translate them into agent capabilities.
• Development and maintenance of Sift’s MCP server, the tool surface that lets both our agents and our customers’ AI tools query telemetry directly.
• Have a working knowledge of distributed systems fundamentals
• If this role excites you, apply even if you don’t check every box
• 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 8+ years of professional software engineering experience
• Have built APIs (REST, gRPC, etc.) and complex backend services with technologies like Go, Python, Rust, or similar
• Get excited about owning a product area: talking to customers, deciding what to build, and shipping it
• Shipped products to users at scale: large data volumes, significant active user counts, or deep technical complexity
• Built agentic systems: multi-step tool use, planning loops, context management, and evals
• Shipped LLM-powered features
• Designed tool ecosystems for agents, including MCP
• Worked with sandboxed or isolated execution of generated code
• Operated services in production (Kubernetes, observability, incident response)
• A personal ecosystem of AI dev tooling: custom agents, skills, scripts, or workflows built to ship faster
• Worked with streaming or time-series data systems (Kafka, Flink, TimescaleDB)
• A background in time-series data, scientific computing, or hardware test and telemetry
• Built internal agentic tooling that accelerates an engineering org