Software Engineer, Full Stack (Agentic AI)

Sift Stack, Inc.•San Francisco, CA

1d•$140,000 - $200,000•Hybrid

About The Position

Sift is seeking a Full Stack Software Engineer to join their Agentic AI team. This role focuses on building Sift Agents, AI agents designed to assist hardware engineers by investigating anomalies, reviewing data, and answering questions quickly. The position offers significant product ownership and autonomy, with direct customer interaction to understand workflows and translate them into agent capabilities. Responsibilities span both frontend and backend development, including creating intuitive chat experiences, orchestrating agent workloads, and ensuring the dependability of AI agents. This is a product engineering role, emphasizing the practical aspects of making agents reliable, such as tool design, context management, code execution environments, evaluation, and observability. The engineer will work across the entire stack, from frontend interfaces to backend APIs and scalable agent operations.

Requirements

3+ years of professional software engineering experience
Experience owning a product area: talking to customers, deciding what to build, and shipping it
Experience building frontend web applications with technologies like React, NextJS, or similar
Experience building APIs (REST, gRPC, etc.) or backend services with technologies like Go, Python, Rust, or similar
Curiosity about new AI products: you try new agents, models, and features as they ship, and have opinions about what makes them good
Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR / EAR regulations.

Nice To Haves

Shipped products to users at scale: large data volumes, significant active user counts, or deep technical complexity
Shipped LLM-powered features
Built agentic systems: multi-step tool use, planning loops, context management, and evals
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
A background in time-series data, scientific computing, or hardware test and telemetry
Built internal agentic tooling that accelerates an engineering org

Responsibilities

Talk directly to customers and partner with product to turn real review workflows into agent capabilities: generating dashboards, writing analysis scripts, and surfacing insights buried in their telemetry
Design, ship, and operate agentic systems that reason over large-scale time-series data and hardware domain context
Build everything around the model that makes agents dependable: tool interfaces, sandboxed execution for agent-generated code, context and memory management, custom compaction algorithms, opinionated skills, and guardrails
Develop and maintain Sift’s MCP server, the tool surface that lets both our agents and our customers’ AI tools query telemetry directly
Work across the whole stack
Build the frontend surfaces where Sift Agents live, and make them feel great
Design and implement the APIs that power our agentic capabilities
Run agents reliably at scale, both in the cloud and on-prem
Build evaluation suites that measure whether agents actually help engineers, and instrument quality, latency, cost, and failure modes in production
Integrate and assess frontier models across providers