Senior/Staff Forward Deployed Engineer

The role

You will work directly with customers to design, build, and deploy AI-powered systems. You will write production code across the stack and own technical outcomes end-to-end to solve operational problems.

What you will do

• Work directly with customers and Laureates to understand operational workflows, constraints, and technical environments
• Design and implement production-grade solutions across backend services, orchestration layers, integrations, and internal tooling
• Write high-quality code across the stack including TypeScript, APIs, data pipelines, and cloud infrastructure
• Own deployments end-to-end including discovery, architecture, implementation, testing, rollout, monitoring, and iteration
• Debug complex issues across customer systems, infrastructure, authentication, APIs, and data pipelines
• Collaborate closely with Product and Core Engineering to turn field learnings into reusable platform capabilities
• Rapidly prototype new functionality while maintaining engineering judgment
• Translate ambiguous customer needs into clear technical plans and execution paths
• Help customers operationalize AI safely and effectively in real production environments
• Help accelerate the implementation team's efforts to reduce time to impact for customers

Required qualifications

• Minimum 4+ years of experience building production software systems
• Comfortable moving across backend, infrastructure, integrations, and customer environments
• Ability to independently architect and ship complex systems with minimal oversight
• Experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications
• Experience with LLMs, AI agents, retrieval systems, orchestration frameworks, or applied AI systems in production
• Ability to thrive in ambiguous environments where requirements evolve quickly
• Ability to communicate clearly with both engineers and non-technical stakeholders
• Care for speed, iteration, and customer impact
• Excitement to work directly with customers and own outcomes

Nice to have

• Startup experience or early-stage product building
• Experience deploying AI systems into enterprise environments
• Strong systems engineering or infrastructure background
• Experience integrating with third-party enterprise systems and APIs
• Familiarity with authentication systems, security constraints, and enterprise IT environments
• Experience debugging production issues in unfamiliar codebases
• History of shipping quickly under real-world constraints
• Comfort balancing rapid iteration with long-term engineering quality

Benefits

• Equity
• 401K
• Bi-annual, in-person company off-sites

Before you apply

• Not able to support visa sponsorship
• Not able to support relocation assistance

About the company

Laurel is an AI Time platform for professional services firms that automates work time capture and connects time data to business outcomes. They serve large accounting and law firms using proprietary machine learning technology.