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Conviva

AI Engineer, Agent Analytics & Optimization (DPI)

Foster City, CAmidAdded 1 month ago

About this role

Build production-grade AI agent systems that enable autonomous tools to understand and act on Conviva's behavioral analytics. Design MCP servers, orchestrate multi-step agentic workflows, and ship integrations at scale—working end-to-end from tool design through deployment and observability.

What you'll do

  • Design and build MCP servers exposing Conviva's data as discoverable tools for AI agents with proper authentication and access controls
  • Architect multi-step agentic workflows including reasoning patterns, tool orchestration, and human-in-the-loop interactions
  • Develop AI connectors integrating Conviva's intelligence with external agents, clients, and downstream systems
  • Own full lifecycle of systems: API design, deployment, monitoring, and iteration based on production usage
  • Work closely with product and customers to translate direction into reliable systems
  • Ensure observability and reliability of agent systems running at scale

What they're looking for

  • Backend/systems engineering with production deployment experience
  • AI/ML systems design (agents, tool use, orchestration patterns)
  • API design and integration
  • Authentication and access control systems
  • Observability and monitoring practices
  • Multi-step workflow design and state management
  • Python or similar systems language
  • Experience with LLM tooling frameworks (e.g., Claude SDK, model context protocol)

Benefits

  • Work on emerging AI agent infrastructure at a profitable, industry-leading company
  • Foster City, CA location
  • Build production systems solving real problems at scale, not research or prototyping
  • End-to-end ownership from design through runtime and customer impact
  • Collaboration with established enterprise customers (Disney, NBC, NFL)
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Conviva

Conviva builds behavioral analytics platforms and AI agent systems that help companies understand and act on user data at scale. The company is hiring for AI/ML engineers to build production-grade agentic systems and forward-deployed engineers to bridge customer needs with product development.

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Likely interview questions

  • Describe your experience designing APIs or tool interfaces for external systems or agents. How did you ensure discoverability and reliability?
  • Walk us through a multi-step workflow or orchestration system you've built. How did you handle state, retries, and error cases?
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