Forward Deployed Engineer
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Role details
Tech stack
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Job description
Our client is a stealth-stage AI startup building enterprise-grade autonomous agent platforms that automate complex, knowledge-intensive business processes. Their systems reason, plan, integrate with enterprise software, maintain long-term memory, and execute real work in production. They’re hiring a Founding Forward Deployed Engineer to work directly with enterprise customers, deploying agentic AI systems into mission-critical workflows. If you’ve already shipped production AI agents and love solving difficult engineering problems alongside customers, we’d love to speak with you. What You’ll Do
- Lead enterprise deployments from discovery through production
- Design and build agentic AI systems with tool calling, planning, memory, and human-in-the-loop workflows
- Integrate with enterprise platforms including Slack, Salesforce, ServiceNow, SQL, Jira, SharePoint, and internal knowledge systems
- Build evaluation frameworks, monitoring, observability, and production reliability tooling
- Debug complex production failures involving LLM behavior, tool execution, and orchestration
- Work alongside the founding team to shape product strategy, architecture, and deployment best practices
Requirements
- Proven experience shipping production agentic AI systems
- Hands-on experience with tool use, planning, persistent memory/state, and workflow orchestration
- Strong Python and/or TypeScript engineering skills
- Experience evaluating LLM performance using benchmarks, regression testing, or automated evaluations
- Production engineering experience including observability, logging, tracing, debugging, rollbacks, and reliability
- Experience integrating APIs and enterprise software
- Customer-facing engineering mindset with excellent communication skills
- Able to work onsite in Chatsworth, CA
Preferred Experience Experience with one or more of:
- LangGraph
- LangChain
- LlamaIndex
- DSPy
- CrewAI
- AutoGen
- Temporal
- Airflow
- OpenTelemetry
- RAG systems
- Enterprise AI deployments
- Security, permissions, and audit logging
Benefits & conditions
- Competitive salary plus meaningful equity
- Work directly with experienced founders
- Shape the future of enterprise AI infrastructure
- Solve challenging real-world AI deployment problems-not demos
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