Join Middesk as a Forward Deployed Engineer to lead technical direction and build integrations in a high-impact role.
Posted by employer 5 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 2 hours ago
Skills & Technologies
Role intensity
60% hands-on coding
AI in the day-to-day
Build and operate LLM- and agent-based systems in real customer workflows.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Forward Deployed Engineer at Middesk, the individual will engage directly with customers to design and implement complex integrations and AI-driven systems, ensuring they meet real-world needs. Proficiency in Python and experience with distributed systems and cloud-native infrastructure are essential, along with strong debugging skills and a collaborative mindset. This position is well-suited for seasoned engineers or former founders who thrive in dynamic environments and seek to make a tangible impact on product development. Middesk's focus on thoughtful engineering and customer value underscores the importance of this role.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Middesk's careers page October 29, 2026.
- Python appears in 14.9% of 4169 comparable senior other roles; TypeScript appears in 0.9% of 4169 comparable senior other roles.
Quick facts
- How much experience is required?
- At least 6 years of relevant experience for this Forward Deployed Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Go, Python, TypeScript.
- What seniority level is this role?
- Middesk targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Forward Deployed Engineer role at Middesk.
From the original posting
About the Role:
We're hiring a Forward Deployed Engineer (FDE) who thrives at the intersection of engineering, product, and real customer problems.
You'll work directly with customers and internal teams to design, build, and deploy production-grade integrations and AI-driven systems. You'll own complex technical problems end-to-end, from understanding customer needs to shipping reliable systems in production. You'll also turn what you learn in the field into improvements that shape Middesk's product and engineering direction.
This role is ideal for a recovering founder, a former core engineer who misses direct customer impact, or someone who thrives on ownership and wants to build real systems where the feedback loop is immediate.
What You’ll Do:
Build and deploy real systems: Partner with customers to design, implement, and operate production-grade integrations using Middesk APIs, data pipelines, and AI workflows.
Own deployments end-to-end: Drive technical design, implementation, rollout, and iteration, making pragmatic trade-offs across speed, reliability, and scalability.
Build AI-powered workflows: Develop LLM- and agent-based systems, including evals, test harnesses, and feedback loops to measure and improve quality.
Solve ambiguous problems: Tackle complex customer challenges without established playbooks, working across backend systems, infrastructure, and tooling.
Shape the product: Turn customer learnings into reusable solutions, internal tooling, and product improvements that benefit the broader customer base.
What We’re Looking For:
3+ years of experience building and shipping production software, with strong proficiency in either Python or Ruby and 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.
Standard company text repeated across Middesk's postings is omitted here.