Forward Deployed Engineer (Agentic Systems) — Founding

About UsWe're a stealth-stage startup building enterprise-grade AI agent platforms that automate long-running, knowledge-intensive processes. Our focus is on systems that can: • Understand organizational context • Integrate with existing workflows and enterprise software • Maintain coherent state and knowledge across extended interactions • Operate reliably in production with measurable business outcomesThis is not chatbot tech — it's the infrastructure layer for the next generation of enterprise software. Position OverviewWe're hiring a Forward Deployed Engineer (FDE) to deploy autonomous AI agents into real enterprise workflows. This is a ship-the-product-in-the-field role: you'll work directly with customers to map messy processes, build and integrate agentic systems (tools + planning + memory), and own production reliability end-to-end.We're looking for someone with hands-on experience shipping agentic workflows (tools + planning + state/memory) and the engineering rigor to support them in production (evals + observability). Role & ResponsibilitiesCore Responsibilities • Own 0→1 enterprise deployments: discovery → prototype → production rollout → iterate until measurable ROI • Design and build agentic systems with tool calling, planning/execution loops, state/memory, and human-in-the-loop (HITL) controls • Implement reliability mechanisms: retries, timeouts, checkpointing, idempotency, and safe failure modes • Build enterprise integrations (e.g., Slack/Jira/Salesforce/ServiceNow/SQL/SharePoint/knowledge bases), including auth, permissions, and auditability • Create evaluation and monitoring systems: offline regression suites, dataset replay, and production quality/cost/latency dashboards • Debug real failures in production: non-determinism, flaky tools, prompt regressions, partial outages, and "agent got stuck" scenarios • Collaborate with the founding team to shape product roadmap, technical strategy, and deployment playbooksTechnical Problem Areas (Not Exhaustive) • Long-running agent workflows with persistent state and memory across sessions • Orchestration patterns for multi-step, multi-tool processes • Guardrails, verification, and human approval gates for high-stakes actions • Reliability + observability (tracing, structured logs, prompt/tool versioning, replay) • Enterprise security requirements: access control, audit logs, compliance constraints • Evaluation and benchmarking of agent performance in real production environments • Required Qualifications • Proof you've shipped agentic systems: built and deployed at least one system that includes tool use + planning + state/memory + reliability mechanisms (work or OSS) • Experience with evaluation of LLM/agent behavior (task suites, regression tests, acceptance metrics, quality thresholds) • Production engineering mindset: tracing/logging, incident-style debugging, rollout/rollback strategies, versioning prompts/tools • Strong software engineering fundamentals (Python and/or TypeScript), API integrations, and systems thinking • Comfortable working directly with customers and owning outcomes end-to-end (Forward Deployed / customer-zero mentality) • Willingness to work onsite in Chatsworth, California Preferred Qualifications • Experience with agent frameworks (e.g., LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, DSPy) in real deployments • Workflow engines for long-running processes (e.g., Temporal/Cadence, Airflow/Dagster as applicable) • Built agent observability: OpenTelemetry-style traces, replay pipelines, prompt/version registries, cost/latency instrumentation • Experience with enterprise software integration patterns and security/compliance constraints (PII, access control, auditability) • Familiarity with fine-tuning and adaptation methods (RAG, routing, lightweight fine-tunes, tool augmentation) Who You Are • You love deploying real systems into messy environments and iterating fast • You think in systems: failure modes, tradeoffs, correctness, reliability, scalability • You're pragmatic and execution-oriented, but you care deeply about engineering quality • You're excited about the limits of agents and motivated to push them responsibly in production • You can communicate clearly with both technical teams and enterprise stakeholders What We Offer • Competitive compensation + meaningful equity, aligned with early-stage risk/reward • Direct access to the founding team and high ownership from day one • Resources to ship: strong engineering support and the compute/tools needed to deploy real agentic systems • A high-velocity environment where you'll help define the product, the architecture, and the deployment playbook • Benefits and perks will be finalized as we scale, and we'll share specifics during the process Culture & Environment • Direct access to the founding team and fast, collaborative decision-making • Opportunity to shape product direction and deployment strategy from day one • Fast-paced environment with high ownership and hig