Forward Deployed Engineer
RECRUITR LABS INC.
Los Angeles, United States of America
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Los Angeles, United States of America
Tech stack
Artificial Intelligence
Airflow
Application Integration Architecture
JIRA
Audit Trail
Software Debugging
Python
Knowledge-Based Systems
Regression Testing
Salesforce
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
Job 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
Requirements
- 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
Benefits & conditions
- Competitive salary plus meaningful equity
- Work directly with experienced founders
- Shape the future of enterprise AI infrastructure
- Solve challenging real-world AI deployment problems-not demos