Forward Deployed Engineer
Build and deploy AI-powered applications and enterprise integrations alongside strategic customers, owning solutions from architecture through production. The role requires 5+ years of software engineering experience, production LLM expertise, and strong customer-facing technical communication.
About the job
Responsibilities
- Embed with strategic enterprise customers to design and build high-impact applications and AI-powered workflows on Replit, from concept through production deployment.
- Design secure, scalable architectures connecting Replit with existing systems, data, APIs, identity providers, and infrastructure.
- Integrate with customer technology stacks, including SSO, data warehouses, internal APIs, and SaaS systems.
- Own complex enterprise implementations, identify blockers, debug issues, and drive projects through production adoption.
- Translate field insights, technical constraints, and recurring customer needs into feedback for Product and Engineering.
- Collaborate with Product, Design, and Engineering teams.
- Ship quickly and iterate based on customer feedback and usage data.
- Turn field patterns into templates, playbooks, and product requirements.
Requirements
- 5+ years of software engineering experience building and deploying production software.
- Strong programming skills and ability to work across unfamiliar codebases, APIs, and technical environments.
- Hands-on production experience with LLM applications, including retrieval, tool calls, and evaluations.
- Experience designing and owning complex technical systems from architecture through production.
- Ability to operate effectively in ambiguous environments and independently drive technical projects to completion.
- Strong technical communication skills and experience working directly with customers, partners, or cross-functional stakeholders.
- Ability to translate business requirements and customer problems into pragmatic technical solutions.
Nice-to-haves
- Experience in Forward Deployed Engineering, Solutions Architecture, Sales Engineering, consulting, or another highly technical customer-facing role.
- Experience building and deploying AI-powered applications, agents, or developer tools.
- Experience with modern cloud infrastructure, application deployment, databases, APIs, authentication, and enterprise integration patterns.
- Experience integrating software into complex enterprise environments, including identity and access management, internal data sources, APIs, and developer infrastructure.
Compensation and Benefits
- Competitive salary and equity.
- 401(k) program with a 4% match for US employees.
- Health, dental, vision, and life insurance.
- Short-term and long-term disability coverage.
- Paid parental, medical, and caregiver leave.
- Flexible time off and holidays.
- Commuter benefits for in-office US employees.
- Monthly wellness stipend.
- Autonomous work environment.
- In-office setup reimbursement.
- Quarterly team gatherings.
- In-office amenities.
Skills
Python, Llm Applications, Retrieval, Tool Calling, Model Evaluations, Cloud Infrastructure, Application Deployment, Databases, APIs, Authentication, Single Sign-On, Data Warehouses, Identity And Access Management, Enterprise Integrations
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