Forward Deployed Engineer (Agentic Systems) — Founding

About Us We’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 outcomes This is not chatbot tech — it’s the infrastructure layer for the next generation of enterprise software. Position Overview We’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 & Responsibilities Core 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 playbooks Technical 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 high impact Location Onsite in Chatsworth, California with core collaboration hours expected. We believe proximity matters for early-stage execution, especially while defining architecture, product, and deployment playbooks. Application Process Submit the following using this google form link: https://forms.gle/tSj3GFCy7s95FbX97 Resume highlighting relevant experience with AI/ML systems and any architectural or design work Brief cover letter (1-2 paragraphs) explaining your interest in agentic AI, what specific problems excite you, and your approach to systems design Link to portfolio, GitHub, or relevant work samples (optional but strongly encouraged) For recent grads: thesis abstract, system design projects, or significant architectural work if applicable Equal Opportunity We are committed to building a diverse and inclusive team. We welcome applications from candidates of all backgrounds and are dedicated to fostering an equitable workplace. Show more Show less