Summary
AppliedAI is an Abu Dhabi-based AI technology company seeking a Full Stack Engineer for its post-sales Delivery Team. The engineer will build and deploy AI agents on client infrastructure, handle frontend and backend development, integrate client systems, and support testing and go-live. Applicants should have at least three years of hands-on technical delivery and client-facing experience, full-stack coding skills, and fluency in English and Arabic. The role is on-site in Abu Dhabi, may involve extended periods at client premises and travel, and offers visa sponsorship for international candidates.
The posting
As published on appliedai.com. Pulled from the employer's site and shown as they wrote it.
Full Stack Engineer
On Site | Abu Dhabi
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 escalate rather than improvise.
Key Responsibilities
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.
Engineering Practice
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.
Key Requirements
Experience:
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.
Technical Skills:
Strong hands-on coding ability across the full stack — able to build and debug both frontend and backend.
Frontend: React (Next.js), TypeScript, 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: WebSockets, 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 NoSQL databases (e.g. PostgreSQL, MySQL, MongoDB).
Containerisation (Docker) and cloud platforms (AWS, GCP, or Azure), with the ability to deploy onto client-controlled infrastructure.
Asynchronous programming concepts (e.g. asyncio, aiohttp).
Experience architecting multi-language applications, including both LTR and RTL layouts.
Soft Skills
Client communication: comfortable being the only AppliedAI technical voice in the room, and able to absorb scepticism without becoming defensive.
Proactive ownership — picks up an issue and drives it to resolution, with the judgement to escalate rather than improvise when something is outside their control.
Bias to shipping, including under real deadline pressure.
Fluent in English and Arabic, with the ability to build and QA software bilingually.
Willing to travel and work on client premises for extended periods.
What We Offer
Opportunity to build and ship production AI agents on some of the region's most demanding, high-visibility client engagements.
Exposure to cutting-edge agentic AI/ML applications in real-world, regulated business contexts.
Collaborative, innovative, and growth-driven work environment.
Competitive compensation, benefits, and career advancement opportunities.
Benefits:
Opportunity to work with a leading AI technology company.
Collaborative and innovative work environment.
Growing, entrepreneurial and forward-thinking culture.
Career growth and professional development opportunities.
Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
21 days of paid annual leave.
Company provided health insurance.
Visa sponsorship for international candidates.