AI ENGINEER

LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide across many, with governance designed in from the start. We are early-stage, flat, and deliberately small. You work directly with customers, own the architecture you design, and see it reach production. We like engineers who are direct, curious, and would rather get something right than get it agreed. WHAT ARE WE LOOKING FOR? We're looking for a Generative AI Engineer who can design and build production-ready GenAI solutions that solve meaningful enterprise business problems. You'll work with large language models, retrieval-augmented generation, agents, vector search, and modern AI frameworks to build secure and scalable applications on top of enterprise data. We're looking for someone who understands that successful GenAI is more than prompting—you'll need to think about architecture, data quality, evaluation, governance, security, performance, and production reliability.     KEY RESPONSIBILITIES - Design and develop production-grade Generative AI applications and services - Build solutions using large language models (LLMs), RAG, agents, and related GenAI techniques - Develop pipelines for document ingestion, chunking, embedding, retrieval, and generation - Integrate LLMs with enterprise data sources, APIs, applications, and workflows - Design and optimize prompt strategies and context-management approaches - Implement vector search and semantic retrieval solutions - Evaluate AI applications for accuracy, relevance, hallucination, latency, and quality - Develop guardrails, monitoring, and governance mechanisms for enterprise AI applications - Optimize solutions for scalability, reliability, performance, and cost - Collaborate with data engineers, ML engineers, architects, and client stakeholders - Translate business problems into practical AI use cases and technical solutions - Develop prototypes and take successful concepts through to production - Maintain technical documentation and contribute to solution architecture     QUALIFICATIONS Required - Professional experience in AI, machine learning, software engineering, or a related technical field - Strong Python programming skills - Hands-on experience building applications using LLMs - Experience with RAG architectures and vector/semantic search - Understanding of embeddings, prompt engineering, context management, and LLM evaluation - Experience integrating AI models with APIs and enterprise applications - Strong software engineering fundamentals - Understanding of data pipelines and data processing - Ability to design solutions with security, scalability, and reliability in mind - Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field Preferred - Hands-on experience with Databricks AI/ML capabilities - Experience with Mosaic AI and Databricks Vector Search - Certified Databricks Context Engineer - Relevant Databricks certification - Experience with MLflow - Familiarity with agentic AI architectures and tool-calling workflows - Experience with frameworks such as LangChain, LlamaIndex, or similar technologies - Experience working with commercial and open-source LLMs - Knowledge of Azure, AWS, or GCP AI services - Experience deploying enterprise GenAI applications into production - Understanding of responsible AI, AI governance, privacy, and security requirements - Familiarity with Arabic-language or multilingual AI use cases - Experience within consulting or client-facing environments     BENEFITS & PERKS - Competitive salary package based on experience and capabilities - Flexible remote-first work environment with work-from-home options depending on responsibilities - Premium medical insurance coverage - Performance-based bonuses and career growth opportunities - Sponsored Databricks and professional certification opportunities - Opportunity to work on production-grade Generative AI initiatives - Direct mentorship from experienced data, AI, and technology professionals - Paid annual leave and public holidays If this sounds like the kind of work you want to do, we would like to hear from you. LAKEORA is an equal opportunity employer and assesses every application on merit.