AI Engineer AI Factory Free Trade Zone

CODED; Kuwait; On-site; KWD 17,000 - 23,000; Full time

Benefits offered by this job

Training culture

Exposure to production systems

Client visits Kuwait

Job summary

CODED's AI Factory in Kuwait is seeking an AI Engineer to design, build, and ship AI solutions for enterprise clients. You will work in a small delivery team, translate client needs into technical designs, and own the build from discovery to deployment.

This hands-on role offers rapid prototyping, hardening of winning approaches, and clear trade-offs explained to non-technical stakeholders. Join a talent pool-building effort to scale delivery across engagements.

Qualifications

• 3+ years of professional software or ML engineering.
• At least 1 year building LLM-based applications.
• Strong Python, REST APIs, SQL.
• Experience with LLM APIs and orchestration.

Responsibilities

• Build retrieval-augmented (RAG) assistants over client data.
• Design agentic assistants with tool calls.
• Automate workflows using LLMs and APIs.
• Integrate AI with ERP, CRM, BI and MS 365.
• Profile and prepare client data pipelines.
• Prototype rapidly and harden with tests and monitoring.
• Set up DevOps foundations for AI services.
• Work with clients in discovery sessions and document solutions.

Skills

Python

REST APIs

LLM-based apps

Embeddings

Vector search

Cloud platforms

DevOps practices

English communication

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Terraform

SharePoint

Microsoft 365

SAP

Job description

AI Factory · CODED — The First Tech & AI Academy in the Arab World

About CODED

CODED is the first tech and AI academy in the Arab world, and the region's go-to place for technology and AI education. We build real technical capability — software engineering, artificial intelligence, cybersecurity, data science, and emerging technologies — across individuals, youth, and enterprises.

What we are building is talent density. Not headcount. Not volume. A concentrated pool of genuinely exceptional people, inside CODED and across the market we serve.

We only aspire to work with people who are excellent at what they do, and who raise the standard of everyone around them.

About AI Factory

AI Factory is CODED's AI services practice. We partner with established companies — typically 250 to 1,000 employees, in sectors like oil and gas services, trading, and industrial operations — to close the gap between AI ambition and deployed tools.

Our engagements cover four service lines: AI strategy and roadmaps, workflow automation, knowledge assistants built on retrieval (RAG), and agentic AI assistants. Our clients run mature enterprise stacks (ERP, Microsoft 365, CRM, BI, document management), so most of our work is integrating AI into systems people already use rather than building from a blank page.

The Role: AI Engineer

Team: AI Factory delivery · Reports to: Head of AI Factory · Location: Kuwait, with client site visits · Type: Full-time

The AI Engineer designs, builds, and ships AI solutions for AI Factory clients, from discovery through deployment. You sit inside a small delivery team alongside consultants and project leads, translate what clients describe into technical designs, and own the build.

This is a hands-on engineering role with real client exposure. Expect to move between prototyping quickly, hardening what works, and explaining trade-offs to non-technical stakeholders.

We are building a talent pool — a bench of engineers for upcoming engagements.

What You Will Do

• Build retrieval-augmented (RAG) assistants over client content such as SharePoint, document archives, and ERP documentation — chunking, embedding, retrieval tuning, and answer evaluation
• Design and implement agentic assistants that call tools and APIs, with clear limits on what the agent may draft, recommend, or execute
• Automate repetitive transactional workflows (finance, HR, procurement, operations) by combining LLMs with rules, APIs, and human-approval steps
• Integrate AI solutions with enterprise systems — ERP, HCM, CRM, BI, ticketing, and Microsoft 365 — respecting each client's access controls
• Prepare and profile client data: assess quality, build pipelines, and flag what must be cleaned before a use case can work
• Prototype fast to prove value in days, then harden the winners with testing, monitoring, logging, and cost controls
• Set up and maintain DevOps foundations for each solution: CI/CD pipelines, containerized deployments, infrastructure as code, environment management, and monitoring and alerting for production AI services
• Define evaluation methods and success metrics with clients, such as time saved per transaction, error and rework rates, and retrieval accuracy
• Join client discovery sessions and workshops, explain technical options and risks in plain language, and support proposal estimates
• Document solutions, hand over to client IT teams, and contribute reusable components to AI Factory's internal toolkit

What We're Looking For

• 3+ years of professional software or ML engineering, with at least 1 year building LLM-based applications that reached real users
• Strong Python, plus comfort with REST APIs, JSON, and SQL
• Hands-on RAG experience: embeddings, vector search, chunking strategies, and evaluating retrieval quality
• Experience with LLM APIs and orchestration or agent frameworks, including prompt design, tool calling, and structured outputs
• Working knowledge of at least one major cloud platform (Azure, AWS, or GCP) and DevOps practices: Git workflows, CI/CD, containers, and infrastructure as code
• Awareness of security and privacy basics for AI systems: data residency, access control, prompt injection, and handling sensitive data
• Clear written and spoken English; able to present technical ideas to business audiences
• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience

Strong advantage

• Integration with enterprise platforms such as SAP (S/4HANA, SuccessFactors, Analytics Cloud), Microsoft 365, Power Platform, or Copilot
• On-premises or hybrid environments where data cannot leave the client's network, including self-hosted models
• Workflow automation or RPA, and forecasting or anomaly detection on business data
• Consulting, professional services, or client-facing delivery experience
• Arabic and English fluency, or experience with Arabic-language content and search
• MLOps and LLMOps: evaluation harnesses, observability, and CI/CD for AI systems
• Oil and gas, industrial, trading, or environmental services domains

Tools & Stack

The stack varies by client, so we look for engineers who learn quickly rather than match a single toolset.

• LLMs and agents: Claude, OpenAI and other model APIs, tool calling, agent frameworks, MCP connectors
• Client systems: SAP, Microsoft 365 and SharePoint, CRM, BI platforms, ITSM tools, document management
• Cloud and delivery: Azure, AWS, or GCP; Git
• DevOps and MLOps: CI/CD, Docker and Kubernetes, infrastructure as code (e.g. Terraform), monitoring and logging, LLM evaluation and observability

What We Offer

• Varied client engagements across industries, with direct exposure to decision-makers and real production systems
• Access to CODED's training and learning culture, and room to specialise in RAG, agents, or automation
• Based in Kuwait, with client site visits as engagements require