Production Automation Engineer - AI-Driven, Client-Facing

Instrumental; Dubai; Hybrid; AED 469,000 - 692,000; Full time

Benefits offered by this job

Health insurance

Paid annual leave

Ticket

Job summary

Instrumental is hiring for a software engineer to build end-to-end automation within client operations. You will handle messy data sources, unstructured inputs, and integrate AI where it adds value, while keeping the system deterministic and measurable.

You’ll work mostly remotely with on-site sessions for critical launches and discovery, collaborating with operations teams to deliver scalable, reliable solutions across ERP/CRM ecosystems.

Qualifications

• 3+ years building production software relied on by real users.
• Ability to design tech that fits client operations.
• Experience with unstructured input: PDFs, OCR and parsing emails.
• Proven integration experience: APIs, OAuth, webhooks and retries.
• Experience deploying services with Docker, cloud, and CI/CD.

Responsibilities

• Build and own production automation systems end to end inside client operations.
• Work with messy client systems: ERPs, CRMs and vendor platforms with poor APIs.
• Decide where deterministic code vs model is used and prove the model is reliable.
• Develop evaluation harnesses to measure error rate on real data.
• Keep systems running post-launch with monitoring and drift control.
• Collaborate with operations teams to deliver usable, scalable solutions.

Skills

Python

TypeScript

APIs

Background jobs

Queues

Idempotency

SQL

OCR

LLM APIs

Docker

CI/CD

Cloud

Tools

Docker

Job description

Instrumental is hiring for a software engineer to build end-to-end automation within client operations. You will handle messy data sources, unstructured inputs, and integrate AI where it adds value, while keeping the system deterministic and measurable.

You’ll work mostly remotely with on-site sessions for critical launches and discovery, collaborating with operations teams to deliver scalable, reliable solutions across ERP/CRM ecosystems.