Full Stack Engineer

AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, UAE. We are committed to innovation and excellence in artificial intelligence solutions across regulated industries such as healthcare, insurance, government, and financial services.

AppliedAI is at the forefront of redefining the future of work through cutting-edge AI solutions. We empower organizations by automating complex, document-heavy processes, ensuring unparalleled efficiency and accuracy. Our commitment to synergizing human intelligence with artificial intelligence helps our clients excel in highly regulated industries, including healthcare, finance, and insurance.

We are seeking an AI Full Stack Engineer to join our growing post-sales Delivery Team, responsible for building and shipping working AI agents directly on client infrastructure using our agentic AI workflow orchestration platform, Opus.

In this role, you will be embedded with enterprise clients after the sale, building the agent yourself — architecture, integrations, and both frontend and backend — rather than handing designs off to someone else to implement.

You’ll demonstrate strong hands‑on engineering ability alongside comfort operating independently on client premises, balancing fast iteration with the judgement to know when to escape rather than improvise.

Architecture, Build & Integration

• Own the architecture — conversation flow, state management, reliability, and tool-calling design, amongst other considerations — and build it yourself.
• Implement integrations against client systems using APIs, webhooks, and middleware, including authentication and data‑handling requirements.
• Work across the full stack, frontend and backend.
• Run internal QA and maintain a known‑issues log before anything reaches the client.

Client Command & Go‑Live

• Run playback, walkthrough, and refinement sessions with client stakeholders, translating technical trade‑offs into terms they can act on.
• Be the primary technical responder during testing and rehearsal — triage issues as they surface and drive them to resolution under deadline pressure.
• Support UAT, defect triage, and go‑live.
• Write clean, maintainable, and well‑documented code following established best practices.
• Troubleshoot, debug, and optimise applications for speed, reliability, and scalability under production load.
• Participate in code reviews, sprint planning, and continuous improvement across the Delivery Team.

• 3+ years combining hands‑on technical delivery with direct enterprise or client‑facing responsibility in the same role.
• A demonstrable record of building and shipping software into production that real users depended on, ideally including a conversational AI agent (chat or voice).
• Background in workflow automation, systems integration, or AI/ML‑driven platforms. Regulated‑industry experience is a strong advantage.

• Strong hands‑on coding ability across the full stack — able to build and debug both frontend and backend.
• Frontend:
  React (Next.js), Type Script, and Redux.
• Backend:
  Python, with frameworks such as Django, FastAPI, or Flask.
• Practical experience with LLM‑based systems: prompt design, retrieval, document extraction, and the failure modes of each.
• Experience building AI agents across both chat and voice, including speech‑to‑text and text‑to‑speech integration.
• Real‑time transport:
  Web Sockets, Socket.io, or SSE, for streaming agent interactions.
• Working experience with REST APIs, webhooks, authentication patterns, and middleware, and a solid grasp of microservice design.
• Relational and No
  
  SQL databases (e.g. PostgreSQL, MySQL, MongoDB).
• Containerisation (Docker) and cloud platforms (AWS, GCP, or Azure), with the ability to deploy onto…