senior research engineer

CB&I Asset Solutions Sdn Bhd

<div><p><b>Petrofac is a leading international service provider to the energy industry, with a diverse client portfolio including many of the world&rsquo;s leading energy companies.</b></p><p>
We design, build, manage and maintain infrastructure for our clients. We recruit, reward, and develop our people based on merit regardless of race, nationality, religion, gender, age, sexual orientation, marital status or disability. We value our people and treat everyone who works for or with Petrofac fairly and without discrimination.</p><p>
The world is re-thinking its energy supply and energy security needs; planning for a phased transition to alternative energy sources. We are here to help our clients meet these evolving energy needs.</p><p>
This is an exciting time to join us on this journey.
</p><p>We support flexible working requests and have adopted a hybrid approach for most of our office-based roles. We ask employees to be present in the office at least three days per week.</p><p><b><i>
Are you ready to bring the right energy to Petrofac and help us deliver a better future for everyone?</i></b></p><p></p><p><b><br>
JOB TITLE: </b><b>Senior Engineer - Construction (AWP)</b></p><p></p><p><b><br>
KEY RESPONSIBILITIES:</b></p><p></p><ul><li><br>
 Operate as a part of a team of Advance Work Packaging professionals in the preparation of Construction, and/or Installation Work Packages. Coordinates with construction, fabricators and subcontractors on the Installation Work Packages preparation and implementation.</li><li> Developing Work Packages with all the details required for its execution (engineering deliverables, materials, resources, constraints, safety, and quality control measures).</li><li> Ensure data required to build work packages is available and accurate, in coordination with Engineering and Supply Chain departments.</li><li> Ensure proper execution of AWP procedures and practices on the project.</li><li> Analysing the project design documents to determine the scope and requirements of the work.</li><li> Prepare weekly reports that monitor the packages drawings IFC dates and material delivery status.</li><li> Maintain a sufficient backlog of approved CWPs and/or IWPs.</li><li> Work with Document Control to establish EWP / CWP / IWPs document ties.</li><li> Monitor and update the life Cycle of the CWP and/or IWPs.</li><li> Maintain the Change Management process in the packaging program.</li><li> Review work packages (CWPs and /or IWPs) to release for construction.</li><li> Work with the project planner, and Construction Engineer to ensure work packages alignment in accordance with path of construction.</li><li> Coordinate with other AWP engineers from other disciplines to ensure logical execution sequence.</li><li> Providing leadership, and guidance to the AWP team, including training, and mentoring of junior team members.</li><li> Leads the construction subcontractors / fabricators on the IWP implementation:</li><li> Scoping sessions with stakeholders to identify open fronts and priorities for IWP preparation.</li><li> Identifying all constraints of the IWPs and clearing them with stakeholders&rsquo; prior release</li><li> Developing IWP / L4 schedule with construction partner planners</li><li> Ensures construction progress reporting against the IWPs.</li><li> Linking each IWP to its related ITR (Inspection Test Report) and BOQ for invoicing process.</li></ul><p></p><div><b><br>
ESSENTIAL QUALIFICATIONS AND SKILLS:</b></div><div></div><ul><li><br>
 A minimum year of experience construction projects experience (Resume with References), familiar with AWP Software and Tools. Full AWP / workface planning implementation or at least Years of experience in oil &amp; gas project.</li></ul>
<div>Additional Information</div></div>

Senior Engineer

<div><p>WSP in the Middle East is seeking a motivated and ambitious Emirati National Graduate Mechanical Engineer to join our Dry Utilities Design team in the UAE. This is an excellent opportunity for a recent graduate to gain hands-on experience, develop technical expertise, and contribute to the successful delivery of major infrastructure projects across the UAE. Working alongside senior engineers and technical specialists, you will receive mentorship, structured training, and exposure to world-class design practices.</p></div>
<br><div><ul><li>Support the design and documentation of dry utilities systems and infrastructure projects.
</li><li>Assist in preparing drawings, design calculations, reports, and specifications under the supervision of senior engineers.
</li><li>Participate in coordination with multi-disciplinary teams to ensure integration of mechanical designs within wider infrastructure projects.
</li><li>Conduct research and support the development of innovative, sustainable engineering solutions.
</li><li>Assist in reviewing local authority regulations and standards to ensure compliance in design outputs.
</li><li>Contribute to quality assurance processes and help maintain project documentation.
</li><li>Engage in training, workshops, and knowledge-sharing sessions to enhance professional growth.</li></ul></div>
<br><div><ul><li>UAE National (with a valid Family Book).
</li><li>Bachelor&rsquo;s Degree in Mechanical Engineering from a recognized university.
</li><li>Fresh graduate or up to 2 years of relevant experience.
</li><li>Strong interest in utilities design and infrastructure projects.
</li><li>Good knowledge of engineering principles, with basic understanding of design software (e.g., AutoCAD, Revit, or similar).
</li><li>Strong communication and teamwork skills, with willingness to learn and adapt in a fast-paced consultancy environment.
</li>Fluent in Arabic and English (spoken and written).<br>
<li>
</li></ul><p></p><p>Imagine a better future for you and a better future for us all.
</p><p>Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself?
</p><p>With us, you can. Apply today.
<br>
<br>
#LI onsite</p></div>

Graduate Engineer - Mechanical (Dry Utilities) _Emirati National

TALENTMATE

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Contract duration:
 </strong>
 6 months (with a potential extension)
 <br/>
 <br/>
 <strong>
  Engagement Type:
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Start date:
 </strong>
 July 2026
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi (on-site)
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
  </li>
  <li>
   Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.
  </li>
  <li>
   Design and orchestrate agentic workflows for reasoning, planning, and task execution.
  </li>
  <li>
   Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.
  </li>
  <li>
   Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
  </li>
  <li>
   Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
  </li>
  <li>
   Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
  </li>
  <li>
   Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.
  </li>
  <li>
   Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align &rarr; Build &rarr; UAT &rarr; Production &amp; Hypercare.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
  </li>
  <li>
   Prior experience at management consulting firms and/or Big Tech is an advantage.
  </li>
  <li>
   Strong Python and solid software engineering fundamentals.
  </li>
  <li>
   Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.
  </li>
  <li>
   Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).
  </li>
  <li>
   Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).
  </li>
  <li>
   Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).
  </li>
  <li>
   Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).
  </li>
  <li>
   Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).
  </li>
  <li>
   Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  </li>
  <li>
   3&ndash;6 years of experience building and shipping AI/ML solutions into production.
  </li>
  <li>
   Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).
   <br/>
   <br/>
  </li>
 </ul>
 Job Details
 <br/>
 <br/>
 Role Level: Not Applicable Work Type: Contract Country: United Arab Emirates City: Abu Dhabi Company Website: https://contango.ae/ Job Function: Data Science &amp; AI Company Industry/
 <br/>
 <br/>
 Sector: Other
 <br/>
 <br/>
 What We Offer
 <br/>
 <br/>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 <br/>
 <br/>
 Report
 <br/>
 <br/>
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>


AI Engineer 6 Months Contract

Dizzaract FZ LLC

<p>01. ABOUT THE COMPANY</p><p><b>Dizzaract</b> is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not theirorigin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.</p><p>02. ABOUT THE ROLE</p><p>We&rsquo;re looking for a <b>Senior AI Engineer</b> to design and ship production AI systems powering GAMED.</p><p>This role focuses on applied AI &mdash; not research for the sake of research. You&rsquo;ll work on recommendation systems, AI-driven moderation, retrieval systems, agentic workflows, ranking systems, and player-facing AI features integrated directly into the product ecosystem.<br/>You&rsquo;ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.</p><p>03. WHO YOU ARE</p><ul><li>You think pragmatically about AI products and infrastructure.</li><li>You care about reliability, evaluation, and production quality.</li><li>You&rsquo;re comfortable building systems from experimentation to deployment.</li><li>You understand both model quality and infrastructure cost.</li><li>You enjoy solving applied ML problems in live environments.</li></ul><p>04. RESPONSIBILITIES</p><ul><li>Design and deploy AI-powered product features.</li><li>Build recommendation, ranking, moderation, and agent systems.</li><li>Develop and optimize RAG pipelines.</li><li>Work with modern LLM ecosystems and open-weight models.</li><li>Design evaluation frameworks and testing pipelines.</li><li>Optimize inference, retrieval, and deployment performance.</li><li>Collaborate closely with backend and infrastructure teams.</li></ul><p>05. REQUIREMENTS</p><ul><li>5+ years in engineering.</li><li>3+ years building applied ML/AI systems in production.</li><li>Strong Python expertise.</li><li>Experience with PyTorch or JAX.</li><li>Experience with LLMs, RAG, and agent systems.</li><li>Experience with vector databases and retrieval systems.</li><li>Understanding of model evaluation and deployment strategies.</li><li>Experience balancing quality, latency, and infrastructure cost.</li></ul><p>06. NICE TO HAVE</p><ul><li>RLHF / DPO / PPO experience.</li><li>Multi-agent systems.</li><li>Recommender systems at scale.</li><li>MLOps tooling.</li><li>AI safety / red-teaming experience.</li></ul><p>07. WHAT WE OFFER</p><ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul><p>Work Location: In person</p>

Senior AI Engineer

RINA

<div></div><div><div><div><div><div>Posting Date: 1 Jul 2026
</div></div></div></div><div><div><div><div>City: Abu Dhabi
</div></div></div></div><div><div><div><div>Location:
<p>Abu Dhabi, Abu Dhabi, AE
</p></div></div></div></div><div><div><div><div>Contract Type: Fixed-Term
</div></div></div></div><div><div><div><div>Division: Electronics and System Engineering
</div></div></div></div><div><div><div><div>Level of experience: Senior
</div></div></div></div><div><div><div><div><p>RINA is currently recruiting for a <b>Senior Railway System Engineer (Testing &amp; Commissioning Manager)</b> to join its office in <b>Al Ain/Abu Dhabi</b><b> </b>within the <b>Electronics and System Engineering</b> Division.
</p><div><div><div><h2 class="jobSectionHeader"><b>Mission</b></h2>
</div><div><p>The Senior Railway System Engineer is responsible for integrating, verifying and optimizing railway systems to ensure safe, reliable, and efficient operations. This role involves system-level thinking, covering rolling stock, signaling, infrastructure, power supply, and communication systems.</p>
<p>The successful candidate will join the RINA team and will act as Testing &amp; Commissioning Manager for the project of appointment, collaborating with the System Engineering and System Assurance Experts and Managers, interfacing with the T&amp;C Managers of the subsystems involved in the development and construction of the whole railway system, managing the Site Acceptance Test campaign of the subsystems, executing the Site Integration and Performance Tests, ensuring the successful T&amp;C activities finalization and the final validation of the integrated railway system.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Accountabilities</b></h2>
</div><div><p>A. Verification &amp; Validation</p>
<ul><li>Ensuring railway systems adhere to the performance and characteristics required by the project requirements, standards, laws, &hellip;</li></ul>
<ul><li>Managing all the V&amp;V activities, defining the relevant plans and monitoring the activities execution.</li></ul>
<ul><li>Monitoring the execution of the FAI, FAT, SAT and other V&amp;V activities relevant to the subsystems.</li></ul>
<ul><li>Managing and executing the on site integration T&amp;C activities (SIT, SPT, trial run, &hellip;)</li></ul>
<p>B. System Design &amp; Architecture</p>
<ul><li>Defining and managing railway system requirements, system architecture, interaction between subsystems (rolling stock, signaling, tracks, power supply).</li></ul>
<ul><li>Selecting appropriate technologies and configurations for new rail projects.</li></ul>
<ul><li>Manage the interface development by the subsystems and coordinating the process of verification and validation of all interfaces during the life cycle of the project up to interface final successful closure</li></ul>
<p>C. System Integration</p>
<ul><li>Ensuring interoperability between different railway subsystems, interfaces between rolling stock, signaling, and infrastructure.</li></ul>
<ul><li>Validating system compatibility across national and international requirements and standards (e.g., EN, NFPA, ...).</li></ul>
<p>D. Performance Optimization</p>
<ul><li>Enhancing railway system efficiency in terms of capacity, energy consumption, and operational reliability.</li></ul>
<p>E. Lifecycle Management</p>
<ul><li>Managing railway system upgrades and modernization projects.</li></ul>
<ul><li>Supporting asset management and maintenance planning to maximize system longevity.</li></ul>
<p>F. Digitalization &amp; Smart Rail Technologies</p>
<ul><li>Implementing IoT, AI, and Big Data solutions for predictive maintenance and automation.</li></ul>
<ul><li>Working with Digital Twin, Remote Monitoring, and Smart Signaling technologies.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Education</b></h2>
</div><div><div>Master&rsquo;s Degree in Electrical Engineering or Mechanical Engineering</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><ul><li>Minimum of 15 years of experience in integration/system engineering for railway systems</li></ul>
<ul><li>Experience in focusing on sustainability in tailway systems and infrastructure design, construction, and operation.</li></ul>
<ul><li>Rolling Stock (Metro, EMUs, DMUs, LRVs)</li></ul>
<ul><li>Signaling Systems (ETCS, CBTC, PTC, Interlocking)</li></ul>
<ul><li>Electrification (25kV AC, 750V DC, 3kV DC systems)</li></ul>
<ul><li>Track Infrastructure (Standard gauge, High-Speed Rail, Light Rail, Metro)</li></ul>
<ul><li>Interface management between hardware, software, and infrastructure.</li></ul>
<ul><li>Managing mixed traffic operations (High-speed, freight, commuter trains).</li></ul>
<ul><li>CENELEC Standards: EN 50126 (RAMS), EN 50128 (Software), EN 50129 (Safety)</li></ul>
<ul><li>ETCS/ERTMS (European Train Control System)</li></ul>
<ul><li>IEC 62290 (Urban Rail Control Systems)</li></ul>
<ul><li>UIC, AAR, and FRA Regulations (for different railway regions)</li></ul>
<ul><li>Systems Engineering: DOORS, Enterprise Architect</li></ul>
<ul><li>Failure &amp; Safety Analysis: ReliaSoft, FMECA, FTA Tools</li></ul>
<ul><li>Electrical &amp; Mechanical Design: MATLAB, Simulink, CATIA</li></ul>
<p>Project Management &amp; Lifecycle Management:</p>
<ul><li>Working with V-Model, Agile, or Waterfall methodologies.</li></ul>
<ul><li>Managing large-scale railway system deployment projects.</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Competencies</b></h2>
</div><ul><li>WORKPLACE DYNAMICS - Resourcefulness in shaping progress and working efficiently.</li>
<li>FORESIGHT &amp; INSIGHT - Context awareness adopting a systemic perspective and informed decision making.</li>
<li>PERSONAL EMPOWERMENT - Ownership for life, work and results, striving to grow professionally and personally.
</li><li>INTERPERSONAL INFLUENCE - Skills and strategies we use to interact effectively with others.</li>
<li>DOMAIN &amp; BUSINESS ACUMEN - Applying a scientific approach and critical thinking in operations and solution development within area of expertise.</li><br>
</ul></div></div><p></p><p>RINA is a multinational company providing a wide range of services in the energy, marine, certification, infrastructure &amp; mobility, industry, research &amp; development sectors. Our business model covers the full process of project development, from concept to completion.</p><br>
<p></p><p><i>At RINA, we endeavor to create a work environment where every single person is valued and encouraged to develop new ideas. We provide equal employment opportunities and are committed to creating a workplace where everyone feels respected and safe from discrimination or harassment of any kind. We are also compliant to the Italian Law n. 68/99.</i></p>
<p><i>#LI-AE1</i></p></div></div></div></div></div><p></p>

Senior Railway System Engineer (Testing & Commissioning Manager)

Arcus Search

<div>
 <p>
  This is a contract role - Remote - Upto 30,000 AED/ month
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Senior LLM / AI Engineer &ndash; Agentic AI &amp; Platform Engineering
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  We are building an AI-powered enterprise platform that uses agentic AI to transform unstructured domain data into structured, actionable intelligence. As a Senior LLM / AI Engineer, you will design and build the core AI orchestration layer: multi-agent workflows, retrieval-augmented generation pipelines, tool-calling infrastructure, and the deterministic reasoning systems that make LLM outputs reliable enough for production use.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is not a research role. You will build production application services that real users depend on. You need to be equally strong in LLM engineering (prompting, structured outputs, evaluation) and software engineering (APIs, databases, deployment). We are looking for someone who can architect an agentic system from scratch, implement it in FastAPI, evaluate it rigorously, and operate it in production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsib
   <em>
    ilities
   </em>
  </strong>
 </p>
 <p>
  <em>
   Agentic AI &amp; Multi-Agent Orches
  </em>
  tration
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design and implement multi-agent systems where specialised agents collaborate on complex tasks: planning agents, execution agents, validation agents, and human-in-the-loop review steps
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build agentic workflows using LangGraph, LangChain, or custom state machines with clear state management, conditional routing, retry logic, and graceful failure handling
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Implement tool-calling infrastructure: define tool schemas, manage tool registries, handle tool execution with timeouts and error recovery
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design context management strategies for long-running agent sessions: conversation memory, working memory, context window optimisation, token budget management, and multi-turn state t
   <em>
    racking
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   RAG &amp; Knowledge R
  </em>
  etrieval
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and optimise retrieval-augmented generation (RAG) pipelines: document chunking strategies, embedding model selection, vector store management (FAISS, Qdrant, pgvector, Pinecone), and hybrid search
  </li>
  <li>
   Implement advanced RAG patterns: multi-hop reasoning, reranking, query decomposition, self-querying retrieval, and citation grounding
  </li>
  <li>
   Design and maintain knowledge indexing pipelines that ingest, transform, and index domain-specific data
   <em>
    at scale
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Deterministic Workflows &amp; Structur
  </em>
  ed Output
 </p>
 <ul>
  <li>
   Design deterministic workflows that guarantee consistent, reliable outputsfrom LLMs
  </li>
  <li>
   Implement comprehensive input/output validation using Pydantic models, JSON Schema constraints, and structured output parsing
  </li>
  <li>
   Build hybrid pipelines combining deterministic business logic with LLM-powered
   <em>
    reasoning
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Evaluation, Testing &amp; Op
  </em>
  timisation
 </p>
 <ul>
  <li>
   Build evaluation frameworks for LLM-powered features: automated test suites, regression benchmarks, and continuous production monitoring
  </li>
  <li>
   Implement token optimisation strategies: prompt compression, caching, response streaming, batching, and model selection
  </li>
  <li>
   Design A/B testing infrastructure for prompt variants, model versions, and pipeline conf
   <em>
    igurations
   </em>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Platform &amp; Application
  </em>
  Development
 </p>
 <ul>
  <li>
   Build production APIs using FastAPI: endpoint design, async handlers, WebSocket/SSE for streaming responses, and graceful degradation
  </li>
  <li>
   Design and implement MCP (Model Context Protocol) server setups for standardised tool integration
  </li>
  <li>
   Work with PostgreSQL, Redis, and Elasticsearch for application state, caching, and search
  </li>
  <li>
   Containerise AI services with Docker and collaborate with DevOps on Kubernetes deployment
  </li>
 </ul>
 <p>
  and scaling
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   4+ years of software engineering experience, with at least 2 years focused on LLM-powered application developmentin production
  </li>
  <li>
   Strong proficiency in Python; experience with FastAPI or similar async frameworks required
  </li>
  <li>
   Deep hands-on experience with agentic AI frameworks: LangGraph, LangChain, or custom agent architectures
  </li>
  <li>
   Proven experience building RAG systems: embedding pipelines, vector databases, retrieval strategies, and multi-hop reasoning
  </li>
  <li>
   Strong understanding of LLM fundamentals: prompting, structured output, token management, and model selection trade-offs
  </li>
  <li>
   Working knowledge of PostgreSQL, Redis, and at least one vector database
  </li>
  <li>
   Experience with evaluation and testing of LLM outputs in production environments
  </li>
  <li>
   Solid understanding of REST APIs, WebSockets, and API lifecycle management
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Experience
  </strong>
 </p>
 <ul>
  <li>
   Experience with MCP architecture: building MCP servers and integrating external systems
  </li>
 </ul>
 <p>
  as agent tools
 </p>
 <ul>
  <li>
   Familiarity with parameter-efficient fine-tuning methods (LoRA, QLoRA)
  </li>
  <li>
   Experience building multi-tenant AI applications with organisation-
  </li>
  <li>
   level isolation
  </li>
  <li>
   LLM observability experience: tracing, token usage tracking, latency profiling
  </li>
  <li>
   Familiarity with Elasticsearch and hybrid search(BM25 + vector)
  </li>
  <li>
   Cloud deployment experience (AWS preferred): EKS,S3, SQS, Lambda
  </li>
  <li>
   Contributions to open-source AI/LLM projects or published work in NLP or agentic AI
  </li>
 </ul>
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Exeed National General Contracting LLC

<p><b>Job Title: Senior Architect Engineer / Technical Engineer</b></p><p><b>Location:</b> Abu Dhabi<br/><b>Industry:</b> Construction<br/><b>Experience Required:</b> 8+ Years<br/><b>Region Experience:</b> GCC experience is mandatory/preferred</p><p><b>Job Summary</b></p><p>We are seeking a highly skilled and experienced <b>Senior Architect Engineer / Technical Engineer</b> to join our construction team. The ideal candidate will have strong technical expertise, design knowledge, and hands-on experience in GCC construction projects.</p><p><b>Key Responsibilities</b></p><ul><li>Review and develop architectural and technical designs in line with project requirements</li><li>Coordinate with consultants, contractors, and internal project teams</li><li>Ensure compliance with local regulations, codes, and company standards</li><li>Manage technical documentation, drawings, and submittals</li><li>Provide technical support during project execution</li><li>Monitor project progress and resolve any design or technical issues</li><li>Conduct site inspections and ensure quality standards are met</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s Degree in Architecture / Engineering or related field</li><li>Minimum <b>8+ years of experience</b> in the construction industry</li><li><b>GCC experience is required</b></li><li>Strong knowledge of construction methods, materials, and regulations</li><li>Proficiency in design and technical software (AutoCAD, Revit, etc.)</li><li>Excellent communication and coordination skills</li><li>Ability to handle multiple projects and meet deadlines</li></ul><p><b>Preferred Skills</b></p><ul><li>Project management experience</li><li>Strong problem-solving and analytical skills</li><li>Experience working on large-scale construction projects</li></ul><p>Work Location: In person</p>

Senior Architect Engineer / Technical Engineer

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