Forward Deployed Engineer

Position Overview

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: youll 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.

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 youve 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
• Youre pragmatic and execution-oriented but you care deeply about engineering quality
• Youre 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 youll help define the product the architecture and the deployment playbook

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.