> Markdown version of [/jobs/ext/1273329-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/1273329-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Forward Deployed Engineer

- **Company:** RECRUITR LABS INC.
- **Location:** Los Angeles, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Application Integration Architecture, JIRA, Audit Trail, Software Debugging, Python (Programming Language), Knowledge-Based Systems, Regression Testing, Salesforce.Com, Microsoft SharePoint, Software Deployment, SQL Databases, TypeScript, Workflow Management Systems, Data Logging, Enterprise Software Applications, Large Language Models, Build Management, Slack, Deployment Automation, Virtual Agents, Servicenow
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ea1c6e74445c5dc9

## About the Role

* Proven experience shipping production agentic AI systems
 * Hands-on experience with tool use, planning, persistent memory/state, and workflow orchestration
 * Strong Python and/or TypeScript engineering skills
 * Experience evaluating LLM performance using benchmarks, regression testing, or automated evaluations
 * Production engineering experience including observability, logging, tracing, debugging, rollbacks, and reliability
 * Experience integrating APIs and enterprise software
 * Customer-facing engineering mindset with excellent communication skills
 * Able to work onsite in Chatsworth, CA

Preferred Experience
Experience with one or more of:

 * LangGraph
 * LangChain
 * LlamaIndex
 * DSPy
 * CrewAI
 * AutoGen
 * Temporal
 * Airflow
 * OpenTelemetry
 * RAG systems
 * Enterprise AI deployments
 * Security, permissions, and audit logging

## Description

Our client is a stealth-stage AI startup building enterprise-grade autonomous agent platforms that automate complex, knowledge-intensive business processes. Their systems reason, plan, integrate with enterprise software, maintain long-term memory, and execute real work in production.
They're hiring a Founding Forward Deployed Engineer to work directly with enterprise customers, deploying agentic AI systems into mission-critical workflows.
If you've already shipped production AI agents and love solving difficult engineering problems alongside customers, we'd love to speak with you.
What You'll Do

 * Lead enterprise deployments from discovery through production
 * Design and build agentic AI systems with tool calling, planning, memory, and human-in-the-loop workflows
 * Integrate with enterprise platforms including Slack, Salesforce, ServiceNow, SQL, Jira, SharePoint, and internal knowledge systems
 * Build evaluation frameworks, monitoring, observability, and production reliability tooling
 * Debug complex production failures involving LLM behavior, tool execution, and orchestration
 * Work alongside the founding team to shape product strategy, architecture, and deployment best practices


## Related Videos

- [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Stack Overflow: Community and AI](https://www.wearedevelopers.com/videos/600-stack-overflow-community-and-ai)
- [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks)
- [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)

## Related Articles

- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)