Titan Holdings · 10 hours ago
Forward Deployed Engineer
Titan Holdings is a stealth-stage startup focused on building enterprise-grade AI agent platforms that automate complex processes. They are seeking a Forward Deployed Engineer to deploy AI agents into real enterprise workflows, working directly with customers to create and integrate agentic systems while ensuring production reliability.
Venture Capital & Private Equity
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
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
Qualification
Required
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
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)
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
Company
Titan Holdings
Titan Holdings oversees our team’s entrepreneurial ventures, with a strong focus on vertical applications of AI.
Funding
Current Stage
Early StageCompany data provided by crunchbase