Forward Deployed Engineer — AI & Product Engineering
DarDoc
Build products that people rely on. Own the journey from idea to production.
DarDoc is building a more connected healthcare experience, bringing digital and at-home care to people across the UAE. Our products serve customers, healthcare professionals, and the teams delivering care. Learn more about DarDoc.
We’re hiring a Forward Deployed Engineer who combines strong engineering fundamentals, product judgment, and exceptional fluency with AI tools.
Someone who can understand a problem, decide what is worth building, and carry it through to a product people actually use.
The role
You’ll work closely with our founders, engineers, and users to build and improve products across DarDoc.
The work spans customer-facing experiences, professional tools, commerce, partner platforms, data systems, and applied AI. You might take a new product from concept to launch, improve a critical customer journey, connect multiple services, or turn an emerging AI capability into a useful product feature.
You’ll take ownership of a focused problem at a time, working across the layers needed to solve it. That includes discovery, technical design, implementation, testing, deployment, and iteration after launch.
We expect AI to be an integral part of how you engineer. You should be skilled at directing coding agents, providing context, reviewing changes, and validating results. You should also understand the systems you build well enough to debug them when the tools get something wrong.
What you’ll do
- Turn ambiguity into shipped products. Work directly with stakeholders and users to understand the need, challenge assumptions, define success, and deliver the smallest complete solution.
- Build across the stack. Develop polished interfaces, backend services, APIs, database models, integrations, and background workflows.
- Bring strong product taste. Care about information hierarchy, interaction design, responsiveness, accessibility, performance, and the details that make software feel intuitive.
- Use AI with technical judgment. Apply coding agents throughout development while taking responsibility for architecture, correctness, security, and maintainability.
- Build useful AI capabilities. Identify where models, document processing, retrieval, or automation can create value. Evaluate their quality, cost, latency, and failure modes before release.
- Make systems work together. Design clear contracts, reliable data flows, and consistent behaviour across products and third-party services.
- Own production outcomes. Write meaningful tests, investigate failures, improve observability, release carefully, and verify the actual user experience.
- Connect engineering to business impact. Measure whether your work improves adoption, conversion, reliability, efficiency, or the speed at which the team can deliver.
What we’re looking for
- A track record of building and shipping software used by real customers or teams.
- Strong full-stack engineering fundamentals and the ability to navigate unfamiliar codebases.
- Practical experience using AI coding tools such as Codex, Claude Code, Cursor, or equivalents to deliver substantial engineering work.
- The ability to review generated code critically, identify flawed assumptions, and explain the implementation you ship.
- Confidence with APIs, authentication, relational databases, asynchronous workflows, and third-party integrations.
- Good judgment about state, permissions, retries, and data consistency when several systems interact.
- An eye for product quality. You can recognise when a technically correct experience is still confusing or unfinished.
- Clear communication with technical and non-technical people.
- Independence, curiosity, and follow-through. You can move work forward, surface uncertainty early, and ask for help when it matters.
Experience with React or Next.js, TypeScript, Node.js, Python, PostgreSQL, and cloud deployments is relevant. We value depth in your core tools and the ability to learn the rest.
Experience in healthcare, fintech, marketplaces, commerce, or other domains where software coordinates real-world services is helpful.
How we work
Simple scales. Fancy fails.
We favour clear architecture, focused changes, and software people can understand and maintain. We expect you to question unnecessary complexity and choose the right tool for the problem.
Speed matters. So do visual quality, reliable data, and what happens after deployment. You should be comfortable moving quickly while recognising when sensitive information, financial transactions, or clinical workflows require additional care.
You’ll have direct access to the people using your work, close collaboration with the founders, and meaningful ownership over both the solution and its results.
What success looks like
Within your first few months, you’ve taken a meaningful problem from discovery to production, helped users adopt the solution, and demonstrated its impact. You understand how your work fits into the wider platform and can take on the next challenge with increasing independence.
How to apply
Share your CV or LinkedIn profile and one or two examples of software you’ve shipped. Product links, repositories, short walkthroughs, and anonymised case studies are welcome.
For one example, tell us:
- What problem did you solve, and what did you personally own?
- What was the hardest product or engineering decision?
- How did you use AI, and what did you have to correct or verify?
- What happened after launch?
We want to understand how you think, what you build, and how well it works in the real world.