AI Engineer - Agentic AI and LLM Systems

About the role

HCT builds agentic AI systems for telecom operators, government and enterprises, and also runs them internally. Agents read network and business data, open tickets, draft proposals and act through real tools. This is a hands-on engineering role, not research-only, with agents used daily by the team and deployed at client sites, often on private infrastructure where data must stay in-country. The position is based in TECOM, Dubai, on-site with flexible hours.

Key responsibilities

• Build LLM agents with tool use, retrieval (RAG) and memory, connected to Odoo, email, network management and monitoring systems
• Design MCP servers and APIs that let agents act safely on real systems
• Build evaluation sets, guardrails and logging so every agent is measurable and auditable
• Deploy on AWS and on-prem NVIDIA GPU for clients who need data sovereignty
• Adapt open models (Llama, Qwen, Mistral) for telecom and Arabic/English use cases
• Work with presales on demos and proofs of concept for operator and government clients

Required profile

• 3+ years of software engineering, with at least 1 year shipping LLM applications to production
• Clear written English; Arabic is a plus
• Ability to document what you build

Required skills

• Strong Python; TypeScript is a plus
• Hands-on with LLM APIs (Claude, OpenAI or open models), vector databases and agent frameworks
• Docker, Linux, CI/CD and cloud (AWS preferred)
• Strong plus: telecom data (alarms, KPIs, CDRs, OSS/BSS), Arabic NLP, inference serving with vLLM or TGI, MLOps, ERP and Odoo integrations

What we offer

• Projects on live operator, government and enterprise networks
• Exposure to multi-vendor environments (Viettel, Ericsson, Nokia, Huawei, Open RAN)
• Competitive package based on experience, UAE employment visa and medical insurance
• Office in TECOM, Dubai, with a small senior team and direct access to the CEO

Candidates apply online with their CV and a brief note on the most relevant project they have built or closed. The process includes a CV review, a role interview, a technical or case task and a final interview with the CEO.