Proven experience shipping agentic systems with tool use, planning, state/memory, and reliability mechanisms.
Familiarity with evaluating LLM/agent behavior, including task suites and quality thresholds.
Production engineering mindset with skills in tracing, logging, and incident debugging strategies.
Strong software engineering skills in Python and/or TypeScript, along with API integrations.
Customer-facing experience with a results-oriented approach (Forward Deployed mentality).
Willingness to work onsite in Chatsworth, California.
Responsibilities
Own enterprise deployments from prototype to production rollout, iterating until achieving measurable ROI.
Design and build agentic systems integrating tool calls, planning, and human-in-the-loop controls.
Implement reliability mechanisms to ensure robust production performance.
Build enterprise integrations with popular platforms (e.g., Slack, Jira) ensuring security and compliance.
Create comprehensive evaluation and monitoring systems for production performance.
Debug and troubleshoot failures in real-world production environments.
Collaborate with founding team to define product roadmap and deployment strategies.
Benefits
Competitive compensation and equity opportunities fitting an early-stage startup environment.
Direct access to founding team, providing high ownership of project outcomes from the start.
Strong engineering support and resources provided to successfully deploy agentic systems.
High-paced, collaborative work environment focusing on fast execution and meaningful contributions.
Full Job Description
About the job Forward Deployed Engineer (Agentic Systems)
Forward Deployed Engineer (Agentic Systems) Location: Onsite in Chatsworth, California Salary Range: $120,000-$150,000
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: 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).
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
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)
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 youll help define the product, the architecture, and the deployment playbook
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.
