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Senior Software Engineer (Full Stack, Agentic AI)

Sift · United States

External listingfull-time7 days ago

About The Role

Join Sift, a leading company in the AI industry, as a Senior 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 services, and have the opportunity to make a significant impact on the company's success. Enjoy a range of benefits, including free lunch, top-tier health insurance, and unlimited PTO.

  • Concevoir, expédier et exploiter des systèmes agentiques qui raisonnent sur des données temporelles à grande échelle et le contexte du domaine matériel.
  • Développer et maintenir le serveur MCP de Sift, l'interface d'outil qui permet à la fois à nos agents et aux outils d'IA de nos clients d'interroger directement la télémétrie.
  • Construire tout autour du modèle qui rend les agents fiables : interfaces d'outils, exécution en bac à sable pour le code généré par l'agent, gestion du contexte et de la mémoire.
  • Get excited about owning a product area: talking to customers, deciding what to build, and shipping it
  • Have 8+ years of professional software engineering experience
  • 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
  • Have built APIs (REST, gRPC, etc.) or backend services with technologies like Go, Python, Rust, or similar
  • 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

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