Production AI Engineer (LLMs) – UAE-Based, Client-Facing

Sia; Abu Dhabi; On-site; AED 180,000 - 240,000; Full time

Benefits offered by this job

Competitive pay

Career development & mentorship

ADN/A growth opportunities

Global exposure

Job summary

Sia seeks a Forward Deployed Engineer to embed with clients across the Middle East, turning generative AI prototypes into production-grade solutions that deliver measurable value in daily operations. You will lead the technical delivery of client builds within the Data & AI team, bridging engineering and business stakeholders.

The role offers hands-on work across agentic systems, enterprise integrations and AI adoption, with design and deployment of LLM workflows, RAG pipelines, and

Qualifications

• Degree in Computer Science, Data Science, AI or a related field.
• 2 to 6 years' experience in software engineering or applied AI engineering.
• Strong production experience in Python or TypeScript.
• LLMs and agents running in production, not only prototypes.
• Experience building RAG pipelines, tool-calling agents and LLM workflows, with evaluation and safeguards.
• Hands-on experience with applied AI frameworks such as LangChain, LlamaIndex, the OpenAI SDK and the Anthropic SDK.
• Experience deploying solutions on a major cloud platform (AWS, Azure or Google Cloud), with Git and CI/CD.
• Experience working in governed enterprise environments (approved libraries and services, data access controls, security reviews).
• Ability to translate client needs into deployable solutions and to explain technical decisions to non-technical audiences.
• No certification required.
• Professional proficiency in English is a must; Arabic is a plus.
• Based in the UAE (Dubai or Abu Dhabi).

Responsibilities

• Translate client business needs into scoped, deployable AI solutions with clear acceptance criteria and measurable outcomes.
• Design, build and deploy production-grade LLM systems, including RAG pipelines, tool-calling agents, workflow automation and conversational interfaces.
• Develop Python or TypeScript services, APIs, connectors and integrations with client data sources and business tools.
• Apply engineering best practice: code review, automated testing, CI/CD, logging and monitoring, and track quality, latency and cost of AI components.
• Deliver within governed enterprise environments, using approved libraries and services and respecting data access controls and security reviews.
• Communicate trade-offs, progress and risks to client stakeholders, and escal scope changes early.
• Drive adoption through training, documentation and knowledge transfer so clients can run the solution themselves.
• Support business development by helping define client needs and shape technical solutions for the pipeline.
• Contribute to Sia's internal accelerators, research and training materials on generative AI and agents.
• Carry out other appropriate delegated duties as required.
• These bullets capture the technical and collaborative responsibilities described in the ad.

Skills

Python

TypeScript

LLMs in production

RAG pipelines

LangChain/LlamaIndex

API design

Cloud deployment

English proficiency

Stakeholder communication

Education

Degree in Computer Science/Data Science/AI

Tools

OpenAI SDK

Anthropic SDK

LangChain

LlamaIndex

Git & CI/CD

Job description

Sia seeks a Forward Deployed Engineer to embed with clients across the Middle East, turning generative AI prototypes into production-grade solutions that deliver measurable value in daily operations. You will lead the technical delivery of client builds within the Data & AI team, bridging engineering and business stakeholders.

The role offers hands-on work across agentic systems, enterprise integrations and AI adoption, with design and deployment of LLM workflows, RAG pipelines, and