Ozmo

Senior Applied AI Engineer

Remote, USPosted 5 days ago

Job Description

Ozmo is transforming how enterprises use AI to automate complex support at scale. We’re growing a team of engineers who enjoy hard problems, ship production systems, and know how to apply AI inside enterprise SaaS.

We’re looking for a Senior Applied AI Engineer to help build our next generation of products: agentic systems that solve important, real-world problems for enterprise customers.

You’ll build the agentic core and the infrastructure required to run it safely in an enterprise environment. That includes MCP servers and skills, memory and knowledge systems, identity, guardrails, and observability. You’ll make practical tradeoffs around model behavior, latency, reliability, and cost. You should also know when an agent isn’t the right solution.

You’ll use AI coding agents throughout the development process while retaining full ownership of the quality of what ships.

If you want to build agentic systems that work in production and help shape how Ozmo builds them, we’d like to talk.

What you will do

  • Build and ship production-grade agentic AI products that solve real, mission-critical enterprise problems.
  • Own the full product lifecycle from discovery and prototyping through customer pilots, GA, and ongoing iteration.
  • Design agentic architectures with LangGraph, LangChain, CrewAI, PydanticAI, or equivalent: planning, decomposition, tool use, multi-step workflows, memory, state management, self-correction, and human-in-the-loop patterns.
  • Build the agent infrastructure layer including MCP servers/tools, skills, agent gateways, and agent-to-agent communication.
  • Build the knowledge and retrieval layer including RAG, hybrid graph/vector retrieval, taxonomy, ontology, metadata, provenance, and content lifecycle management.
  • Design for enterprise-grade security and trust, including authorization, tenant isolation, auditability, guardrails, prompt-injection protection, and controlled tool access.
  • Build rigorous evaluation

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