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prompt and agent engineer

Brainlake Advertising LLC

<div>Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives<ul>
<li>
Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes</li>
<li>Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
</li><li>Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing</li>
<li>Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks</li>
<li>Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements</li>
<li>Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions</li>
<li>Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables</li>
</ul>
Requirements<ul>
<li>
3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution</li>
<li>Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder</li>
<li>Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)</li>
<li>Experience with RAG architectures, function calling, tool use, and multi-agent systems</li>
<li>Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)</li>
<li>Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality</li>
<li>Public sector or government consulting experience is a plus (Arabic is a plus)</li>
<li>Google Cloud or AI-related certifications are a bonus</li></ul></div>

Prompt and Agent Engineer

Brainlake

<div>
 Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
 
 
 The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives
 
 
 <ul>
 <li>
 Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes
 </li>
 <li>
 Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
 </li>
 <li>
 Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing
 </li>
 <li>
 Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks
 </li>
 <li>
 Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements
 </li>
 <li>
 Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions
 </li>
 <li>
 Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution
 </li>
 <li>
 Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder
 </li>
 <li>
 Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)
 </li>
 <li>
 Experience with RAG architectures, function calling, tool use, and multi-agent systems
 </li>
 <li>
 Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)
 </li>
 <li>
 Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality
 </li>
 <li>
 Public sector or government consulting experience is a plus (Arabic is a plus)
 </li>
 <li>
 Google Cloud or AI-related certifications are a bonus
 </li>
 </ul>
</div>

Rewaa

<div>
 
 
 Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!
 
 
 
 
 
 
 
 As a Staff AI Engineer, you&rsquo;ll define and lead the technical direction for production-grade AI systems across the company. You won&rsquo;t just build agents&mdash;you&rsquo;ll design the platforms, patterns, and guardrails that other engineers rely on to ship AI safely and at scale.
 
 
 
 
 
 
 
 You&rsquo;ll architect end-to-end AI systems such as customer intelligence agents, internal copilots, automated workflows, and retrieval-augmented generation (RAG) platforms used by multiple teams. You&rsquo;ll work with modern frameworks like LangGraph, LlamaIndex, AWS Agent Core, or Vertex AI Agent Builder, and make principled decisions about when to use them&mdash;and when not to.
 
 
 
 
 
 
 
 This is not a research role. It&rsquo;s senior-level engineering leadership with deep hands-on ownership. You&rsquo;ll set standards, review designs, mentor engineers, and still write production code when it matters most. You&rsquo;ll be accountable for reliability, cost, and long-term maintainability of AI systems running in production.
 
 
 
 
 
 
 
 Core Responsibilities
 
 <ul>
 <li>
 
 Technical Leadership
 
 </li>
 <li>
 Define reference architectures and best practices for AI systems across teams
 </li>
 <li>
 Lead design reviews for complex AI and agentic systems
 </li>
 <li>
 Make high-impact architectural decisions balancing speed, cost, accuracy, and reliability
 </li>
 <li>
 Identify when to build vs buy vs integrate third-party AI tooling
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 AI Systems Architecture
 
 </li>
 <li>
 Design scalable RAG and agent-based systems (single-agent and multi-agent)
 </li>
 <li>
 Own system-level concerns: orchestration, memory, retrieval, evaluation, and fallback strategies
 </li>
 <li>
 Establish prompt versioning, evaluation, and deployment standards across the org
 </li>
 <li>
 Drive consistency in embeddings, vector databases, and retrieval strategies
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Production Engineering
 
 </li>
 <li>
 Design resilient systems: retries, timeouts, circuit breakers, graceful degradation
 </li>
 <li>
 Build async pipelines, background workers, and event-driven workflows
 </li>
 <li>
 Own production incidents and lead post-mortems with clear corrective actions
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Operational Excellence
 
 </li>
 <li>
 Define and monitor AI-specific SLIs/SLOs (latency, accuracy, cost per request, hallucination rate)
 </li>
 <li>
 Drive LLM cost optimization strategies at scale
 </li>
 <li>
 Implement rollout strategies using feature flags, canaries, and staged deployments
 </li>
 <li>
 Ensure security, compliance, and PII protection in AI systems
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Team &amp; Org Impact
 
 
 </li>
 </ul>
 <ul>
 <li>
 Mentor senior and mid-level engineers in AI systems engineering
 </li>
 <li>
 Raise the engineering bar through code reviews, design guidance, and shared tooling
 </li>
 <li>
 Partner with product, data, and leadership to shape the AI roadmap
 </li>
 <li>
 Turn ambiguous business problems into clear technical plans
 
 </li>
 </ul>
 
 
 
 
 Required Technical Skills
 
 <ul>
 <li>
 Proven experience designing and operating multiple AI systems in production
 </li>
 <li>
 Deep expertise in LLM orchestration frameworks (LangGraph, LlamaIndex, AWS Agent Core, or similar)
 </li>
 <li>
 Strong understanding of RAG systems: embeddings, chunking strategies, hybrid retrieval, reranking
 </li>
 <li>
 Experience treating prompts as production artifacts: versioning, testing, evaluation, rollback
 </li>
 <li>
 Advanced Python engineering with strong system design fundamentals
 </li>
 <li>
 Experience building distributed, async, and event-driven systems
 </li>
 <li>
 Testing strategies for non-deterministic systems (prompt tests, golden datasets, eval pipelines)
 </li>
 <li>
 Ability to debug complex failures across multiple services and AI components
 </li>
 <li>
 Monitoring and observability for AI systems (not just infrastructure)
 </li>
 <li>
 Cost modeling and optimization for LLM-powered workloads
 </li>
 <li>
 CI/CD pipelines and safe deployment strategies for AI features
 </li>
 <li>
 Security best practices including prompt injection mitigation and data isolation
 </li>
 <li>
 6&ndash;10+ years of professional software engineering experience
 </li>
 <li>
 3+ years building and operating AI-powered systems in production environments
 
 </li>
 </ul>
 
 
 
 
 Compensation and Benefits
 
 <ul>
 <li>
 &nbsp;Competitive monthly salary.&nbsp;
 </li>
 <li>
 Stock Option Plan.&nbsp;
 </li>
 <li>
 Health insurance for the employee, their spouse, and children.&nbsp;
 </li>
 <li>
 21 working days of annual vacation.&nbsp;
 </li>
 <li>
 Rewaa is a fast-growing company with great opportunities to develop
 
 </li>
 </ul>
 
 
 
 
 
 
 
 Alert for Candidates
 
 
 
 
 
 Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa&rsquo;s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.
 
 
 
 
 
 
 &nbsp;
 
 تنبية للمتقدمين
 
 
 تؤكد شركة رِواء وشركاتها التابعة على أنها لا تجري أي مقابلات عمل عبر البريد الإلكتروني أو الرسائل النصية، ولن تطلب أي مبالغ مادية كشرط للتقديم أو لتلقي عرض عمل على أي وظيفة. التقديم على وظائف شركة رواء يتم فقط عبر القنوات الرسمية للشركة، ونحذر من مشاركة معلوماتك الشخصية (مثل الاسم، العنوان، تاريخ الميلاد، والهوية الوطنية، وغيرها) مع أي طرف خارجي.
 
 
 
 
 
 
 
 Notice to External Recruiters and Staffing Agencies
 
 
 
 
 
 Rewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.
 
 
 
 
 
 
 &nbsp;
 
 إشعار للمستقطبين الخارجيين ووكالات التوظيف
 
 
 تؤكد شركة رِواء أنها لا تقبل أي سيرة ذاتية من المستقطبين الخارجيين أو وكالات التوظيف إلا إذا كانت بموجب عقد مبرم وموقع بين الطرفين. أي سيرة ذاتية تُقدم إلى قاعدة بياناتنا، أو تُرسل مباشرةً إلى مسؤولي التوظيف في شركة رِواء، أو تُرسل عبر أي وسيلة أخرى دون عقد مسبق، ستُعتبر خدمة مجانية، ولن يتم دفع أي رسوم توظيف في حال تعيين المرشح. تُدفع الرسوم فقط إذا تم طلب السيرة الذاتية من قِبَل مسؤولي التوظيف لدى شركة رِواء بموجب العقد.
 
 
 
 
 
 
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 
 
 
 
</div>

Staff AI Engineer

Swiss Hospitality

<div>We are seeking a senior AI Systems Architect to design and implement AI-native application cores where Large Language Models (LLMs), vector databases, retrieval systems, and agent frameworks form the primary computational layer of our web and mobile applications.
This role is responsible for architecting scalable AI pipelines, retrieval-augmented generation (RAG) systems, memory architectures, AI agents, and orchestration workflows integrated with our development stack (Web, Mobile, n8n automation, and AI services).
The ideal candidate understands that AI is not a feature, it is the operating system of the product.
Key Responsibilities
1. AI Core Architecture Design<ul><li>
Design AI-first system architecture for web and mobile applications</li><li>
Architect RAG pipelines using vector databases</li><li>
Define long-term memory, short-term memory, and contextual state systems</li><li>
Implement multi-agent AI systems</li><li>
Design AI orchestration layers</li></ul>
2. Vector Database &amp; Embedding Systems<ul><li>
Select and implement vector databases such as:</li><li><ul><li>
Pinecone</li><li>
Weaviate</li><li>
Qdrant</li><li>
Milvus</li><li>
Supabase (pgvector)</li></ul></li><li>
Optimize embedding strategies</li><li>
Implement hybrid search (semantic + keyword)</li><li>
Design scalable indexing pipelines</li></ul>
3. LLM Integration &amp; Optimization<ul><li>
Work with models such as:</li><li><ul><li>
OpenAI APIs</li><li>
Anthropic</li><li>
Meta (LLaMA)</li><li>
DeepSeek</li><li>
Alibaba (Qwen)</li></ul></li><li>
Implement structured output pipelines</li><li>
Design evaluation and prompt testing frameworks</li><li>
Optimize cost-performance ratio</li></ul>
4. AI Agent Systems &amp; Orchestration<ul><li>
Build autonomous AI agents</li><li>
Design tool-calling systems</li><li>
Integrate with:</li><li><ul><li>
n8n</li><li>
LangGraph / LangChain style agent flows</li></ul></li><li>
Implement memory-aware agents</li></ul>
5. Production AI Engineering<ul><li>
Build monitoring systems for hallucination detection</li><li>
Design guardrails and validation layers</li><li>
Implement evaluation datasets and benchmarking</li><li>
Ensure security of AI pipelines</li><li>
Build scalable infrastructure (Docker, Kubernetes, GPU optimization)</li></ul> 

Requirements 
Technical Expertise<ul><li>
5+ years software engineering experience</li><li>
2+ years building production AI systems</li><li>
Deep knowledge of:</li><li><ul><li>
Vector embeddings &amp; similarity search</li><li>
RAG architectures</li><li>
Tokenization and context window optimization</li><li>
Fine-tuning &amp; LoRA concepts</li><li>
Prompt evaluation frameworks</li></ul></li><li>
Experience with Python (mandatory)</li><li>
Experience with FastAPI / backend services</li><li>
Experience designing scalable APIs</li></ul>
Architecture Experience<ul><li>
Designing distributed systems</li><li>
Microservices &amp; event-driven architecture</li><li>
Experience with PostgreSQL + pgvector</li><li>
Experience deploying LLM systems in production</li></ul></div>

AI Systems Architect - LLM & Vector Infrastructure

Tabby

<div><h3 class="jobSectionHeader">Description</h3><div> 
Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company. 
</div><div>This internship is not educational by default. It is an engineering-adjacent role with real production impact.</div><div>
The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling. 
</div><div>The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.</div><h3 class="jobSectionHeader"> 
Key Responsibilities</h3><div> 
This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools. 
</div><ul><li>Build AI agents and automations using internal no-code and low-code tooling</li>
<li>Configure agent workflows, tools, and orchestration logic</li>
<li>Integrate agents with internal systems via APIs and tools</li>
<li>Participate in designing agent architectures and workflows</li>
<li>Help test, evaluate, and iterate on agent behavior and quality</li>
<li>Work with datasets and evaluation results to improve agent performance</li>
<li>Document agent logic, workflows, and best practices</li>
<li>Work closely with platform engineers, product managers, and internal users</li></ul> 
<h3 class="jobSectionHeader">
Skills, Knowledge &amp; Expertise</h3> 
<ul>
<li>
Strong logical and systems thinking</li>
<li>Ability to break down human workflows into structured steps</li>
<li>Understanding of how web services, APIs, and tools interact</li>
<li>Experience with no-code or low-code platforms</li>
<li>Basic understanding of data formats (JSON), APIs, and webhooks</li>
<li>Ability to reason about edge cases, failure modes, and correctness</li>
<li>High level of ownership and responsibility</li>
<li>Comfort with fast iteration and experimental environments</li>
<li>English sufficient for documentation and team communication</li>
</ul><ul><li>Experience with LLMs, AI agents, or automation</li>
<li>Experience building internal tools or automations</li>
<li>Experience with Python</li>
<li>Education in data science, machine learning field</li>
<li>Understanding of prompt design or agent orchestration concepts</li>
<li>Familiarity with evaluation, testing, or quality metrics</li>
<li>Curiosity about AI system behavior and limitations</li></ul> 
<h3 class="jobSectionHeader">
Eligibility</h3> 
<ul>
<li>
Saudi nationals only</li>
<li>Internship is structured and administered through HRDF</li>
<li>We welcome both current students and fresh grads</li>
<li>We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</li>
</ul><ul><li>Paid internship</li>
<li>Full integration into the automations building team</li>
<li>Distributed engineering team across multiple countries</li>
<li>Remote work is available from anywhere</li>
<li>Office-based work is available in Riyadh</li>
<li>Clear path to a junior AI automation, no-code engineer, or platform role based on performance</li>
</ul><div>
 
This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.</div><h3 class="jobSectionHeader"> 
About Tabby</h3><div>
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money. 
 
The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. 
 
Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region. 
 
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.</div></div>

No-Code / AI Agents Engineering Intern

SOCOTEC Group

<div>Company Description 
SOCOTEC ARABIA, A global leader in testing, inspection, and certification services with operations in over 25 countries, is expanding its presence in Saudi Arabia. The company provides trusted testing, technical inspection, and engineering consultancy services for major real estate and construction projects, ensuring safety and full regulatory compliance.
The Senior Fire &amp; Life Safety Engineer will lead the design, review, and supervision of Fire &amp; Life Safety systems, ensuring compliance with Saudi Civil Defense regulations, international standards, and project requirements, while serving as the technical authority for all fire engineering matters. 
Job Description 
Key Responsibilities:<ul><li>
Fire Protection &amp; Fire Fighting Systems: Design, review, and coordinate sprinkler, standpipe, hose reel, fire pump, foam, clean agent, and water mist systems, including hydraulic calculations and pump room layouts.</li><li>
Fire Alarm &amp; Detection Systems: Design addressable and conventional fire alarm systems, voice evacuation, BMS integration, and prepare shop drawings and technical submittals.</li><li>
Passive Fire Protection: Review and specify fire-rated walls, doors, partitions, fire stopping, and structural fire protection; verify on-site compliance.</li><li>
Smoke Management &amp; Pressurization: Design and review smoke extraction, staircase/lobby pressurization, and car park ventilation systems; coordinate CFD studies and ensure compliance with SBC and NFPA standards.</li><li>
Emergency &amp; Life Safety: Design emergency lighting, exit signage, egress paths, and evacuation plans; prepare Fire &amp; Life Safety strategy reports.</li><li>
Fire Strategy &amp; Code Compliance: Prepare fire strategy reports, review designs for compliance with SBC, NFPA, IBC/IFC, and BS/EN standards; liaise with Saudi Civil Defense, local authorities, consultants, and clients.</li><li>
Project &amp; Technical Leadership: Lead design coordination, review contractor submissions, conduct site inspections and testing, mentor junior engineers, and support proposals and technical presentations.</li></ul> 
Qualifications 
<ul><li>
Bachelor&rsquo;s degree in mechanical engineering, Fire Engineering, or relevant discipline.</li><li>
10+ years of experience in Fire &amp; Life Safety engineering.</li><li>
Solid hands-on experience in Saudi Arabia.</li><li>
Deep knowledge of Saudi Civil Defense approval processes.</li><li>
Experience in high-rise, mixed-use, hospitality, healthcare, and large infrastructure projects preferred.</li></ul>
Certifications (Preferred / Required)<ul><li>
CFPS (Certified Fire Protection Specialist) &ndash; NFPA</li><li>
PMP (Preferred)</li><li>
Saudi Council of Engineers (SCE) Registration</li><li>
Civil Defense Approval Engineer status (advantageous)
</li></ul>Technical Skills<ul><li>
Strong command of:<ul><li>
AutoCAD</li><li>
Revit (BIM coordination)</li><li>
Hydraulic calculation software (Elite, Canute, etc.)</li><li>
Fire alarm programming basics</li></ul></li><li>
Ability to prepare:<ul><li>
Cause &amp; Effect Matrix</li><li>
Hydraulic Calculation Reports</li><li>
Fire Strategy Reports</li><li>
Compliance Reports</li><li>
CFD analysis and reporting</li><li>
Engineering based FLS Design</li></ul></li></ul> 

Additional Information<ul><li> 
Reports To: General Manager/Operations Manager</li></ul></div>

Senior Fire & Life Safety (FLS) Engineer

Master Works

<div>
 About the Role:
 
 
 Master works is looking for an experienced
 
 LLM Engineer
 
 to join our team working on next-generation AI-driven analytics solutions. The ideal candidate will design and implement natural language search, semantic search solutions, and generative AI features for our web applications. You will work hands-on with advanced language models, vector databases, RAG pipelines, and build intelligent workflows to enable actionable insights from both structured and unstructured data.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and maintain natural language search capabilities and semantic search solutions using vector databases.
 </li>
 <li>
 Implement NL-to-SQL pipelines and other intelligent query generation features for analytics platforms.
 </li>
 <li>
 Build and optimize Generative AI features (summarization, recommendations, insights) for analytics applications.
 </li>
 <li>
 Design and implement Agents and Workflows for complex tasks across datasets.
 </li>
 <li>
 Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge retrieval and query resolution.
 </li>
 <li>
 Create embeddings for structured and unstructured data and leverage them for semantic understanding and search.
 </li>
 <li>
 Process and transform structured (tables, CSV, SQL) and unstructured data (text, documents, logs) as input/output for AI models.
 </li>
 <li>
 Collaborate with data engineers, analysts, and product teams to integrate AI features seamlessly into the platform.
 </li>
 <li>
 Evaluate, benchmark, and optimize LLM performance for real-world analytics use cases.
 
 
 </li>
 </ul>
 
 Required Qualifications &amp; Skills:
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, AI/ML, Data Science, or related field.
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Anthropic, Cohere, or similar).
 </li>
 <li>
 Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
 </li>
 <li>
 Strong understanding of embeddings, semantic search, and their practical applications.
 </li>
 <li>
 Expertise in RAG pipelines, Agents, and Workflow orchestration.
 </li>
 <li>
 Proficiency in Python and relevant AI/ML frameworks (LangChain, HuggingFace, PyTorch, TensorFlow).
 </li>
 <li>
 Familiarity with NL-to-SQL systems and natural language query processing.
 </li>
 <li>
 Experience working with structured and unstructured data sources.
 </li>
 <li>
 Knowledge of data pipelines, preprocessing, and storage formats for analytics.
 </li>
 <li>
 Ability to design scalable, production-ready AI solutions integrated with web applications.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience working with AI based chatbots, Natural language search, NL to SQL.
 </li>
 <li>
 Knowledge of prompt engineering and fine-tuning LLMs.
 </li>
 <li>
 Familiarity with data privacy, security, and compliance considerations in AI pipelines.
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Excellent communication skills to work with cross-functional teams.
 </li>
 <li>
 Passion for AI and staying up to date with the latest developments in LLMs and generative AI.
 </li>
 </ul>
</div>

LLM engineer

Explore 2114+ Prompt and agent engineer in Riyadh this March. Find roles across top companies and apply now to boost your career.

2114 prompt and agent engineer jobs In Riyadh

Prompt and Agent Engineer

Prompt and Agent Engineer

Staff AI Engineer

AI Systems Architect - LLM & Vector Infrastructure

No-Code / AI Agents Engineering Intern

Senior Fire & Life Safety (FLS) Engineer

LLM engineer