{"id":9395,"date":"2026-07-06T09:07:07","date_gmt":"2026-07-06T09:07:07","guid":{"rendered":"https:\/\/99brightminds.com\/job\/senior-ai-engineer\/"},"modified":"2026-07-06T09:07:07","modified_gmt":"2026-07-06T09:07:07","slug":"senior-ai-engineer","status":"publish","type":"job","link":"https:\/\/99brightminds.com\/ar\/job\/senior-ai-engineer\/","title":{"rendered":"Senior AI Engineer"},"content":{"rendered":"<p><strong>Published<\/strong>: July 6, 2026<\/p>\n<div class=\"_9d763823 _721d4f0a ca9510cb d71b598c _7c466880 _0d2d5ee0 _67866338 _3b42afd3\">\n<h2 class=\"e6590096 _5a134e6a dcac4cd6 _3ff84621 _0b90939f _4434babe _1ccd852b _2b366c9a fee11784 _381c41ae _91345936\">About the job<\/h2>\n<\/div>\n<p><strong>AI Engineer<\/strong><\/p>\n<p><strong>Experience: 6 \u2013 10 years<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Position Summary<\/strong><\/p>\n<p>As an AI Engineer, you will build the data- and LLM-powered systems that turn AIQ&#8217;s models into production capabilities. Coming from a strong data-engineering foundation, you will design robust data pipelines and platforms and then apply that same rigour to large language models (LLMs) and agentic systems designing, building, and operating retrieval-augmented and multi-agent applications that integrate with enterprise data and services.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Responsibilities<\/strong><\/p>\n<ul class=\"_893dbef1 _3b0fffcd _3b42afd3\">\n<li>Design, build, and operate scalable data pipelines and platforms (batch and streaming) that feed AI and LLM applications.<\/li>\n<li>Develop LLM-powered and agentic systems \u2014 _tool calling, multi-agent orchestration, and autonomous workflows \u2014 _from prototype to production.<\/li>\n<li>Implement retrieval-augmented generation (RAG) using vector databases (Qdrant, Milvus, FAISS) and knowledge graphs.<\/li>\n<li>Engineer data ingestion, transformation, modelling, and quality (ETL \/ ELT) to support model training, evaluation, and inference.<\/li>\n<li>Build event-driven architectures and AI-workflow orchestration for reliable, observable pipelines.<\/li>\n<li>Deploy and optimise model serving and inference (latency, cost, throughput), and apply prompt-engineering and evaluation frameworks.<\/li>\n<li>Expose AI capabilities via REST APIs and microservices, and integrate them with enterprise applications and data platforms.<\/li>\n<li>Implement monitoring, evaluation, guardrails, and observability for LLM \/ agent systems (quality, safety, drift, cost).<\/li>\n<li>Collaborate with data scientists, ML engineers, backend, and product teams to deliver end-to-end solutions.<\/li>\n<\/ul>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Qualifications<\/strong><\/p>\n<ul class=\"_893dbef1 _3b0fffcd _3b42afd3\">\n<li>Bachelor&#8217;s or Master&#8217;s degree in Computer Science, Data Engineering, Machine Learning, or a related field.<\/li>\n<li>6 \u2013 10 years of experience, with a strong foundation in data engineering followed by hands-on LLM \/ agentic-system development.<\/li>\n<li>Proven data-engineering skills: building data pipelines and platforms, ETL \/ ELT, data modelling, and SQL \/ NoSQL stores.<\/li>\n<li>Hands-on experience building agentic AI systems (LLMs, agents, tool calling, multi-agent orchestration).<\/li>\n<li>Experience with RAG, knowledge graphs, and vector databases (e.g. Qdrant, Milvus, FAISS).<\/li>\n<li>Strong Python (e.g. FastAPI), with experience in microservices, REST APIs, and distributed systems.<\/li>\n<li>Experience deploying and optimising AI \/ ML models and inference in production.<\/li>\n<\/ul>\n<p><strong>Preferred Qualifications<\/strong><\/p>\n<ul class=\"_893dbef1 _3b0fffcd _3b42afd3\">\n<li>Experience with big-data and streaming tooling (Spark, Kafka, Airflow) and lakehouse \/ warehouse platforms (e.g. Databricks, Snowflake, BigQuery).<\/li>\n<li>Familiarity with LLM frameworks and orchestration (LangChain, LlamaIndex, LangGraph, or similar).<\/li>\n<li>Experience with cloud platforms (AWS, Azure, GCP) and containerisation \/ orchestration (Docker, Kubernetes).<\/li>\n<li>LLM evaluation, guardrails, and observability tooling.<\/li>\n<li>Exposure to MLOps \/ LLMOps practices and CI\/CD for AI systems.<\/li>\n<\/ul>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"class_list":["post-9395","job","type-job","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Senior AI Engineer - 99brightminds<\/title>\n<meta name=\"description\" content=\"As an AI Engineer, you will build the data- and LLM-powered systems that turn AIQ&#039;s models into production capabilities. 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