Forward Deployed Engineer
About The Position
Were 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. Were 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 Us Were 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 — its the infrastructure layer for the next generation of enterprise software.
Requirements
- 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
Nice To Haves
- 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)
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
Benefits
- 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 youll help define the product, the architecture, and the deployment playbook
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
