AI Tech Lead

🔥 3 minutes ago

🇸🇦 Saudi Arabia – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lucidya | لوسيديا

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 $6M Series B on 2022-01

Consulting • Marketing • Artificial Intelligence

Lucidya is a company specializing in social media and online platform analytics. They provide tools and insights that help businesses understand customer sentiment, track brand reputation, and make data-driven decisions. Lucidya's solutions are tailored for engaging with the Arabic-speaking market, leveraging AI technology to process and analyze data for optimal marketing strategies.

📋 Description

• Own and be accountable for the AI architecture and harness, including model selection, prompting patterns, retrieval design, guardrails, and voice pipeline • Make and document technical decisions with clear rationale • Define the evaluation standard and move key work from experimentation to production • Introduce leading testing frameworks for Agentic development • Ensure production monitoring and online evaluations catch quality drops, hallucinations, and latency spikes before customers report them • Lead the AI team in designing, developing, and delivering Lucidya's Agentic Platform • Mentor AI engineers, raise the technical bar through pairing and feedback, and contribute to hiring • Lead debugging of critical production incidents involving AI behavior • Manage prototypes and experiments to validate new models, agent patterns, and voice features • Work with Product to turn customer use cases into technical requirements • Work with Engineering on shared platform work including tool calling, workflows, deployment, and scaling

🎯 Requirements

• 7+ years in software or ML engineering, including 2+ years building LLM-based applications in production • AI platform-level experience, not just AI point solutions • Technical leadership of a team of 3+ AI engineers/scientists, including design reviews, standards, and mentoring • Deep hands-on experience with prompting, structured outputs, guardrails, agent patterns, and harness development (planning, tool use, multi-step reasoning) • Ability to work in ambiguous settings and bring clarity and structure to complex situations • Experience building LLM evaluation pipelines, including golden datasets, LLM-as-judge, and regression suites, and using them to gate releases • Strong Python • Experience with APIs, cloud deployment, observability, and debugging distributed systems • Fluent written and spoken English • Ability to write clear design docs and decision records • Nice to have: Arabic NLP experience, especially Gulf Arabic, in LLM or speech systems • Nice to have: Voice AI experience with ASR, TTS, real-time voice agents, and latency optimization • Nice to have: Hands-on use of LLM tracing and online evaluation tools such as Langfuse, Arize, or similar • Nice to have: Fine-tuning or distilling open-weight models and serving them cost-effectively