Forward Deployed Engineer

Reposted 25 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Software • Consulting • Automation
The Role
Own and deliver end-to-end production solutions: gather requirements, design architecture, implement frontend/backend/data, orchestrate LLMs/agents, perform production cutover, and define metrics. Interface with business stakeholders and operate in ambiguous, time-sensitive field contexts.
Summary Generated by Built In

This is a super-powered FDE who has world-class engineering talent with the ability to translate it to a business audience. Over four weeks, a mess of spreadsheets, disconnected SaaS, and tribal knowledge becomes a full-stack system the business runs on. Our internal platform, Crucible, removes the deployment ramp, so you can have a production grade working demo by the end of your first day on site. You stay close to the code and close to the customer, carrying the system from first build through real use.

What you own. The full solution, end-to-end. From an ambiguous operational problem through architecture, frontend, backend, data, integrations, LLM orchestration, production cutover, and the metric that proves it worked. You own the deployment and oversee integrations. You work within a small pod that provides the delivery and platform support you need to focus on building the right thing. You're writing React in the morning, shaping a Postgres schema after lunch, and debugging an agent loop before dinner. What you learn in the field feeds back into Crucible as reusable tooling, patterns, and platform capabilities that make the next deployment faster.

 

What you bring. Production software shipped end-to-end across the stack: React and TypeScript on the frontend, Python on the backend, APIs in use. Opinions about RAG, agents, and evals formed from building them, not reading about them. Judgment to turn incomplete requirements and evolving user feedback into working software. Comfort in a room with a CFO or a CTO alike. Calm with ambiguity. Excitement about spending meaningful time with customers and taking responsibility for whether the system is adopted and delivers the intended result.

Level. Experienced FDEs lead engagements start to finish. Earlier-career engineers ramp quickly to do the same.

Skills Required

  • Production software shipped end-to-end across the stack
  • Proven experience building frontend with React and TypeScript
  • Backend development experience using Python
  • Experience with Postgres schema design and databases
  • Hands-on production use of at least one LLM API
  • Practical experience implementing RAG, agents, and evals
  • Ability to own full solution: requirements, architecture, deployment, and metrics
  • Strong communication with business stakeholders (e.g., CFO) and comfort in field settings
Am I A Good Fit?
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The Company
15 Employees

What We Do

Ciridae is an AI transformation firm that develops AI-native operating systems for mid-market and private equity-backed businesses in the real economy, including industrial and construction sectors. The company replaces legacy ERPs and manual processes with custom, intelligent software that automates core workflows, helping enterprises incorporate machine learning into their operations to drive efficiency and measurable business outcomes.

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