FORWARD DEPLOYED ENGINEER, R&D AI AUTOMATION

Stealth Startup; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Benefits offered by this job

AI-augmented environment

On-prem Nvidia hardware access

Flexible work environment

Job summary

Stealth Startup in Abu Dhabi seeks an Engineer II (MJT02) to join the R&D team, turning domain expert workflows into structured specifications and artefacts. You’ll record behaviors, define states and decisions, and craft evaluation tasks and demonstrations for complex applications.

As part of a small, fast-moving team, you’ll prototype rapidly, validate against benchmarks, and help push a greenfield program toward production readiness.

Qualifications

• Fluent Arabic and English in speech and writing.
• 3+ years in an engineering role with direct user contact.
• Bachelor's degree in any field or strong open-source track record.

Responsibilities

• Observe and record how domain experts use applications and identify gaps.
• Decompose workflows into explicit states, decisions and exceptions.
• Create artefacts such as evaluation tasks, fault specifications, and demonstrations.
• Run rapid prototypes and demonstrations informed by real applications.

Skills

Bilingual Arabic/English

Discovery & requirements

User-facing engineering

Education

Bachelor's degree

Tools

TypeScript

Python

rrweb / HAR / screen recording

Job description

Abu Dhabi (UAE) · Member of Technical Staff · Engineer II, L4 · MJD02.0.1

THE TECHNICAL CHALLENGE

This role is deployed into that reality on behalf of the R&D team, with no finished product to install: sit with domain experts, record how they work, and turn what you see into structure that has to hold.

Workflow models. Evaluation tasks from a single action to a whole task. Fault specifications for simulated copies of the applications. Demonstration recordings.

What fails on real applications comes back to the team as a specification. Progress is measured against benchmarked results.

KEY RESPONSIBILITIES

• Observe and record how domain experts operate their applications, and elicit what the recordings do not show
• Decompose workflows into explicit structure: states, decisions, exceptions and failure modes, generalised across applications
• Turn that structure into artefacts that must work: evaluation tasks, fault specifications for simulated applications, demonstration recordings
• Run the feedback loop from real applications to the R&D team; build quick prototypes and demonstrations

DESIRED QUALIFICATIONS

• Has worked embedded with expert users on behalf of an engineering or research team, and can say what the users could not tell them
• Has turned a messy, undocumented human process into a specification that a team implemented and that held in production
• Has built evaluation tasks or simulated environments from real workflows
• Has recorded and analysed how third-party web applications behave (network logs, DevTools, screen recordings) to diagnose failures

EXPECTED QUALIFICATIONS

• Patient and precise with people who have no documented process; runs discovery sessions with non-technical experts
• Thinks in states, decisions and exceptions, and treats the happy path as the easy part
• Daily use of AI coding tools, including reviewing and verifying their output
• Presents working demonstrations to non-technical audiences

HOW WE WORK

• Product engineering: we own what we build and run it in production
• Small teams, two-week cycles, working software at every review
• AI coding tools are part of the standard workflow

WHAT WE OFFER

• AI-augmented engineering environment
• Access to on-premise Nvidia B200s
• Flexible work environment

PROCESS

• Practical session; the format is agreed with you

In coding exercises, AI tools are allowed and expected. No LeetCode.

WHO WE ARE

New product organisation as part of a large semi-government in Abu Dhabi. International, ex-FAANG team. Completely greenfield, with a modern tech stack.

REQUIREMENTS TO BE CONSIDERED

• Fluent Arabic and English, spoken and written
• 3+ years in an engineering role with direct contact with the people who use what you build
• Own code operated in production; comfortable in TypeScript or Python
• Bachelor's degree in any field, or self-taught with a track record of open-source contributions

RELATED TECHNOLOGIES AND CONCEPTS

• Session capture and replay: rrweb, HAR, WARC, screen recording
• Evaluation: evaluation harnesses, trajectory evaluation, LLM-as-judge, Inspect, Langfuse; benchmarks such as Online-Mind2Web, WebArena, OSWorld
• Process analysis: task mining, process mining, cognitive task analysis, behaviour-driven specification (Gherkin), state machines
• Models and infrastructure: open-weight LLMs, vLLM, SGLang, Kubernetes, TypeScript, Python