Middesk
Forward Deployed Engineer
San Francisco, Remote. Posted 6 months ago
The role
You will work with customers and internal teams to design, build, and deploy production-grade integrations and AI-driven systems. You will own technical problems end-to-end and use field learnings to shape product and engineering direction.
What you will do
- Partner with customers to design, implement, and operate production-grade integrations using Middesk APIs, data pipelines, and AI workflows.
- Drive technical design, implementation, rollout, and iteration for deployments.
- Develop LLM- and agent-based systems, including evals, test harnesses, and feedback loops.
- Tackle complex customer challenges across backend systems, infrastructure, and tooling.
- Turn customer learnings into reusable solutions, internal tooling, and product improvements.
Required qualifications
- 3+ years of experience building and shipping production software
- Strong proficiency in either Python or Ruby
- At least one other language (TypeScript, Go, etc.)
- Experience designing and operating APIs, distributed systems, and cloud infrastructure
- Strong debugging skills and comfort working across the stack, from backend systems to integrations and infrastructure
- Ability to independently own ambiguous technical problems and make sound architectural trade-offs
- Strong communication skills and comfort collaborating directly with customers and cross-functional teams
- Experience building or deploying LLM-powered applications, agents, or AI workflows, including familiarity with evals and common failure modes
Nice to have
- Former founder or early-stage startup engineer
- Experience in fintech, compliance, identity, risk, or fraud
- Experience building developer tools, workflow automation, or reliability and observability systems
About the company
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. The company provides a platform for understanding businesses, verifying identities, and managing risk.