Forward Deployed Engineer (Agentic Systems)

Forward Deployed Engineer (Agentic Systems)About the job Forward Deployed Engineer (Agentic Systems)Forward Deployed Engineer (Agentic Systems)Location: Onsite in Chatsworth, CaliforniaSalary Range: $120,000-$150,000Position 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).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 contextIntegrate with existing workflows and enterprise softwareMaintain coherent state and knowledge across extended interactionsOperate reliably in production with measurable business outcomesThis is not chatbot tech — it's the infrastructure layer for the next generation of enterprise software.Role & ResponsibilitiesCore ResponsibilitiesOwn 0‑1 enterprise deployments: discovery, prototype, production rollout, iterate until measurable ROIDesign and build agentic systems with tool calling, planning/execution loops, state/memory, and human‑in‑the‑loop (HITL) controlsImplement reliability mechanisms: retries, timeouts, checkpointing, idempotency, and safe failure modesBuild enterprise integrations (e.g., Slack/Jira/Salesforce/ServiceNow/SQL/SharePoint/knowledge bases), including auth, permissions, and auditabilityCreate evaluation and monitoring systems: offline regression suites, dataset replay, and production quality/cost/latency dashboardsDebug real failures in production: non‑determinism, flaky tools, prompt regressions, partial outages, and agent got stuck scenariosCollaborate 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 sessionsOrchestration patterns for multi‑step, multi‑tool processesGuardrails, verification, and human approval gates for high‑stakes actionsReliability + observability (tracing, structured logs, prompt/tool versioning, replay)Enterprise security requirements: access control, audit logs, compliance constraintsEvaluation and benchmarking of agent performance in real production environmentsRequired QualificationsProof 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)Strong software engineering fundamentals (Python and/or TypeScript), API integrations, and systems thinkingComfortable working directly with customers and owning outcomes end‑to‑end (Forward Deployed / customer‑zero mentality)Willingness to work onsite in Chatsworth, CaliforniaPreferred QualificationsExperience with agent frameworks (e.g., LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, DSPy) in real deploymentsWorkflow 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 instrumentationExperience 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 AreYou love deploying real systems into messy environments and iterating fastYou think in systems: failure modes, trade‑offs, correctness, reliability, scalabilityYou're pragmatic and execution‑oriented, but you care deeply about engineering qualityYou're excited about the limits of agents and motivated to push them responsibly in productionYou can communicate clearly with both technical teams and enterprise stakeholdersWhat We OfferCompetitive compensation + meaningful equity, aligned with early‑stage risk/rewardDirect access to the founding team and high ownership from day oneResources to ship: strong engineering support and the compute/tools needed to deploy real agentic systemsA high‑velocity environment where you'll help define the product, the architecture, and the deployment playbookDirect access to the founding team and fast, collaborative decision‑makingOpportunity to shape product direction and deployment strategy from day oneFast‑paced environment with high ownership and high impactLocationOnsite in Chatsworth, California with core collaboration hours expected. We believe proximity matters for early‑stage execution, especially while defining architecture, product, and deployment playbooks.#J-18808-Ljbffr