electrical engineer

mechanical engineer

project engineer

planning engineer

civil engineer

electrical systems engineer

GREAT MISSION HUMAN RESOURCES CONSULTANCY

An electrical engineer designs and develops, tests, and oversees the installation of electrical equipment, components, and systems.<ul><li>Design and Development: Create electrical circuits, power distribution networks, and electronic devices using computer-aided design (CAD) software.</li><li>Testing and Quality Control: Inspect and test systems to find problems, ensure safety, and improve efficiency.</li><li>Project Management: Estimate project costs, write technical reports, and manage budgets and timelines.</li><li>Installation and Maintenance: Oversee the setup and repair of electrical equipment in buildings, or power stations.</li><li>Compliance: Follow local and international safety codes and engineering standards.</li></ul>Job Requirements<ul><li>Education: A bachelor's degree in electrical engineering</li><li>Technical Skills: Knowledge of electrical systems, circuits, and testing tools.</li><li>Software: Experience with design programs like AutoCAD or circuit simulation tools.</li><li>Communication: Ability to work with clients, contractors, and other team members.</li></ul>Pay: AED5,000.00 - AED6,000.00 per hourWork Location: In person

Electrical Engr

Worley

<div>About us
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
Job Purpose
The Specialist HVAC Engineer is responsible for providing specialist engineering support for the design, review, coordination, and execution of HVAC systems for offshore oil and gas facilities. The role involves ensuring that all HVAC engineering activities comply with ADNOC standards, international codes, project specifications, safety requirements, and project quality objectives throughout the FEED and EPC phases.
Key Responsibilities
<ul><li>Perform and review HVAC engineering deliverables for offshore oil and gas facilities during FEED and EPC phases.
</li><li>Review contractor HVAC designs, calculations, specifications, equipment data sheets, and technical bid evaluations.
</li><li>Ensure HVAC systems comply with ADNOC standards, ASHRAE, SMACNA, NFPA, API, ISO, and other applicable international codes.
</li><li>Review HVAC load calculations, ventilation studies, equipment sizing, duct routing, pressurization philosophy, and smoke management systems.
</li><li>Coordinate with Process, Mechanical, Electrical, Instrumentation, Civil/Structural, Architectural, Safety, and Construction disciplines to ensure integrated engineering solutions.
</li><li>Participate in HAZID, HAZOP, SIL, Constructability, Model Reviews, and Design Reviews.
</li><li>Review vendor documents and provide timely technical comments and approvals.
</li><li>Support procurement activities by reviewing technical queries, bid evaluations, and vendor offers.
</li><li>Provide technical support during construction, installation, commissioning, and start-up activities.
</li><li>Review engineering changes, deviations, concession requests, and technical clarifications.
</li><li>Monitor engineering progress, identify risks, and recommend mitigation measures.
</li><li>Ensure compliance with project schedules, quality standards, and HSE requirements.
</li><li>Support FAT, SAT, pre-commissioning, commissioning, and project handover activities.
</li><li>Provide technical guidance and mentorship to junior engineers when required.
</li></ul>Minimum Qualifications
<ul><li>Bachelor's Degree in Mechanical Engineering or an equivalent engineering discipline from an accredited university.
</li><li>Professional Engineering certification or Chartered Engineer status is preferred.
</li></ul>Experience
<ul><li>Bachelor&rsquo;s degree in relevant engineering discipline or equivalent, from an accredited university; or a minimum of fifteen (15) years of relevant experience in the Oil &amp; Gas or Petrochemical industry.
</li><li>Must have at least five (5) years of experience in a similar position on mega Oil &amp; Gas or Petrochemical projects.
</li><li>Minimum 5 years of experience working in the GCC region is required
</li><li>Proven experience in both FEED and EPC project execution.
</li><li>Offshore project experience is required.
</li><li>ADNOC offshore experience is required.
</li><li>Previous experience in a PMC environment is preferred.
</li></ul>Technical Competencies
<ul><li>Offshore HVAC design and engineering.
</li><li>HVAC load calculations and equipment sizing.
</li><li>Hazardous area ventilation design.
</li><li>Pressurized HVAC systems.
</li><li>Smoke management and life safety systems.
</li><li>HVAC equipment specification and vendor document review.
</li><li>Technical bid evaluation.
</li><li>Engineering calculations and design verification.
</li><li>Multidisciplinary engineering coordination.
</li><li>Commissioning and start-up support.
</li><li>Knowledge of ASHRAE, SMACNA, NFPA, API, ISO, and ADNOC Engineering Standards.
</li></ul>Behavioral Competencies
<ul><li>Strong technical and analytical skills.
</li><li>Excellent communication and stakeholder management abilities.
</li><li>Strong planning and organizational skills.
</li><li>Problem-solving and decision-making capability.
</li><li>Ability to work effectively in multidisciplinary and multicultural teams.
</li>Commitment to safety, quality, and continuous improvement. 
<li>
 
</li></ul>Moving forward together 
 
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
<div>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div></div>

Specialist HVAC Engineer

Casa Estilo F.Z.C

Location: Abu Dhabi, UAE Employment Type: Full-Time Industry: Construction / InfrastructureJob SummaryWe are looking for an experienced NOC Engineer to manage and coordinate No Objection Certificates (NOCs), permits, and approvals for construction and infrastructure projects in Abu Dhabi.The successful candidate will be responsible for coordinating with relevant Abu Dhabi government authorities, utility providers, consultants, contractors, and project teams to ensure timely approvals and smooth execution of project activities.Key Responsibilities<ul><li>Prepare, submit, and follow up on NOC applications, permits, drawings, and supporting documents.</li><li>Coordinate with relevant Abu Dhabi authorities and government entities for project approvals and clearances.</li><li>Manage NOC submissions through applicable authority portals and systems.</li><li>Coordinate with Department of Municipalities and Transport (DMT), Abu Dhabi City Municipality, Integrated Transport Centre (ITC), Abu Dhabi Mobility, Abu Dhabi Distribution Company (ADDC), TAQA Distribution, Etisalat/e&amp;, du, and other relevant authorities and utility providers, as applicable to the project.</li><li>Review authority requirements, comments, and conditions and coordinate with engineering teams to address them.</li><li>Coordinate NOCs related to road works, excavation, infrastructure works, utility connections, temporary access, diversions, and other construction activities.</li><li>Monitor the status of all NOC applications and ensure approvals are obtained within project deadlines.</li><li>Maintain an updated NOC tracker covering submissions, comments, approvals, renewals, and expiry dates.</li><li>Coordinate with consultants, subcontractors, surveyors, site engineers, and project managers regarding NOC requirements.</li><li>Attend authority meetings, technical discussions, and site inspections when required.</li><li>Ensure construction activities comply with approved NOC conditions and authority requirements.</li><li>Coordinate the renewal, modification, or extension of NOCs and permits where required.</li><li>Identify potential approval delays and proactively coordinate with relevant parties to resolve them.</li><li>Maintain proper records of approved NOCs, permits, drawings, correspondence, and authority approvals.</li><li>Assist project teams in resolving authority comments and technical issues related to NOC submissions.</li><li>Ensure all submissions comply with applicable Abu Dhabi regulations, authority standards, project specifications, and HSE requirements.</li></ul>Qualifications &amp; Experience<ul><li>Bachelor's degree or Diploma in Civil Engineering, Electrical Engineering, or a related engineering discipline.</li><li>Minimum 3&ndash;5 years of NOC/authority coordination experience in Abu Dhabi's construction or infrastructure sector.</li><li>Strong practical knowledge of Abu Dhabi authority NOC procedures and approval processes.</li><li>Previous experience dealing with Abu Dhabi government authorities and utility providers is highly preferred.</li><li>Ability to understand engineering drawings, layouts, and technical documents.</li><li>Good knowledge of Microsoft Office and document control systems.</li><li>Strong communication, coordination, follow-up, and problem-solving skills.</li><li>UAE driving license is preferred.</li><li>Candidates who can join immediately will be preferred.</li></ul>Key Skills<ul><li>NOC &amp; Authority Coordination</li><li>Abu Dhabi Government Approvals</li><li>Permit Management</li><li>Technical Documentation</li><li>Engineering Drawing Review</li><li>Utility Coordination</li><li>Stakeholder Management</li><li>Authority Portal Submissions</li><li>Project Documentation</li><li>Follow-up &amp; Problem Solving</li><li>Time Management</li></ul>Preferred Candidate ProfileThe ideal candidate should have hands-on experience obtaining NOCs and construction-related approvals in Abu Dhabi, with a strong understanding of local authority procedures and the ability to independently manage NOC submissions from initial application through approval.Pay: AED7,000.00 - AED10,000.00 per monthWork Location: In person

NOC Engineer (Abudhabi Experience)

bankfab

<div><div>Job Description</div>
<div>
 JOB SUMMARY / INTRODUCTION
<ul><li>To lead the engineering, architecture, and run-state ownership of the bank's enterprise AI &amp; Agentic Platform, ensuring it operates as a reliable, secure, observable, and bank-grade production platform supporting agents and AI workloads across the Group.
</li><li>The role is the senior technical authority for platform engineering and architecture across the agentic runtime, model gateway, integration fabric, identity layer, and infrastructure backbone of the platform.
</li><li>It operates in a two-in-a-box model with the existing Platform Product Owner to provide concurrent technical ownership and organizational resilience for the platform, with shared accountability for platform availability, performance, cost, security posture, and architectural evolution.
</li>The role is deeply technical in nature, requiring hands-on engineering depth across distributed systems, agentic protocols, LLM infrastructure, identity and access management, and cloud-native platform engineering. 
<li>
 </li></ul>KEY RESPONSIBILITIES
 Key Accountabilities &mdash; Platform Architecture 
 
<ul><li>Own the end-to-end technical architecture of the AI &amp; Agentic Platform's five-layer stack: Action Gateway, Agent Kernel, Control Plane, Knowledge Foundation, and the Users and Channels layer.
</li><li>Architect and evolve the agentic runtime to natively support the emerging multi-protocol stack: Model Context Protocol (MCP) for agent-to-tool access, Agent-to-Agent (A2A) for inter-agent coordination and task delegation, Agent Communication Protocol (ACP) and equivalent emerging standards, ensuring the platform is interoperable with hyperscaler agent fabrics (Azure AI Foundry agents, AWS Bedrock Agents, Google ADK).
</li><li>Design the platform's agent kernel, including agent lifecycle management, planning and reasoning loops, memory architecture (short-term, long-term, episodic), state management, session affinity, scratchpad persistence, and execution chains.
</li><li>Architect the platform's knowledge foundation, including vector store selection and topology, hybrid retrieval (BM25, dense, graph), embeddings strategy, knowledge graph integration (FIBO, OWL, SHACL, SPARQL), context engineering, and grounding patterns.
</li><li>Design the platform's control plane, including policy-gated execution, Know Your Agent (KYA) enforcement at runtime, agent registries, tool registries, capability discovery, evaluation pipelines, and tracing and lineage at agent and tool granularity.
Key Accountabilities &mdash; Integrations &amp; Model Layer
</li><li>Architect and engineer the platform's LLM gateway and model abstraction layer, providing a unified interface across foundation model providers (Azure AI Foundry, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI, Cohere) with intelligent routing, fallback, retries, prompt and response caching, semantic caching, rate limiting, token accounting, cost attribution, and tenant isolation.
</li><li>Design model serving patterns for managed APIs, dedicated capacity (PTUs / provisioned throughput), and self-hosted open-weight models on GPU infrastructure (vLLM, TGI, Triton, or equivalent), with appropriate trade-offs across cost, latency, sovereignty, and compliance.
</li><li>Lead the integration architecture between the AI Platform and the bank's core estate, including core banking, payments, treasury, credit and risk systems, the enterprise data platform (Azure, Cloudera, Databricks), enterprise APIs, ESB, event streaming (Kafka, Event Hubs), and the data product layer.
 
Design the action gateway as the bank's enforcement boundary for agentic action, including API mediation, contract enforcement, circuit breakers, idempotency guarantees, transactional safety, and audit-grade action logging.
</li><li>Engineer the platform's tool layer and MCP server estate, including tool packaging, versioning, capability advertisement, schema enforcement, and runtime tool discovery across Wholesale, Retail, and Group functions.
Key Accountabilities &mdash; Identity, Security &amp; Governance
</li><li>Architect and own the agent identity and workload identity model for the platform, including non-human identity (NHI) management, agent identity lifecycle, blended user-plus-agent identity for delegated actions, and the identity propagation chain across multi-agent flows.
 
Design the platform's authentication and authorization architecture, including OAuth 2.1 and OIDC flows for agent-to-tool and agent-to-API interactions, just-in-time credential issuance, short-lived token exchange, mTLS for agent-to-agent communication, and integration with the bank's enterprise IAM (Microsoft Entra ID, PAM, secrets management).
</li><li>Implement zero-trust principles across the agentic stack, including least-privilege scoping per agent and per task, real-time policy evaluation, behavioral posture checks, and continuous authorization rather than static service-account-style access.
</li><li>Engineer the platform's runtime governance controls, including KYA enforcement, prompt and output guardrails (PII, PHI, MNPI, prompt injection defense), sensitive action approval flows, and human-in-the-loop escalation patterns.
</li><li>Harden the platform to meet CBUAE, internal model risk, and Group governance requirements, including auditability, lineage, data residency, model risk controls, third-party model governance, and OWASP LLM Top 10 alignment.
</li><li>Key Accountabilities &mdash; Infrastructure &amp; Run-State
</li><li>Lead the platform's cloud and infrastructure architecture across Azure (primary) and AWS, including infrastructure as code (Terraform), networking (private endpoints, peering, egress control), Kubernetes (AKS) and container orchestration, secrets management, and CI/CD pipelines.
</li><li>Own platform Site Reliability Engineering (SRE), including SLO design, error budget management, observability (OpenTelemetry, traces, metrics, logs at agent and tool granularity), incident response, post-mortems, capacity planning, and cost governance for a growing fleet of agents and AI workloads in production.
 
Operate in genuine two-in-a-box with the existing Platform Product Owner, including shared on-call, shared roadmap ownership, and shared accountability for major architectural decisions, regulator conversations, and critical incidents.
</li><li>Drive engineering excellence across the platform team, including testing discipline (unit, integration, evaluation, red-teaming), documentation, infrastructure as code maturity, operational readiness reviews, and technical mentorship of platform engineers.
</li><li>Represent the platform in senior technical forums with Enterprise Architecture, Cyber, Model Risk, Internal Audit, and the Group CTTO's office on architecture and engineering matters.
</li><li>Engage with hyperscale, model provider, and framework vendor technical teams on platform-level integration, performance, sovereignty, and cost optimization.
REQUIREMENTS / QUALIFICATIONS
Technical Expertise
</li><li>Deep, current expertise in agentic AI architecture and the modern multi-protocol stack: Model Context Protocol (MCP), Agent-to-Agent (A2A), Agent Communication Protocol (ACP), and the engineering patterns required to build interoperable agentic systems on top of them at platform scale.
 
Strong hands-on knowledge of agent orchestration frameworks (LangGraph, Google ADK, LlamaIndex, Autogen, CrewAI, OpenAI Agents SDK, or equivalent), planning and reasoning loops, multi-agent coordination patterns, agent memory systems, and evaluation harnesses (RAGAS, OPIK, LangSmith, Promptfoo, or equivalent).
</li><li>Deep technical knowledge of LLM serving and inference architecture, including managed model APIs (Azure AI Foundry, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI), provisioned throughput / PTUs, self-hosted open-weight models, GPU scheduling, vLLM / TGI / Triton, KV-cache management, batching strategies, and the cost-latency-quality trade-offs that drive model selection.
</li><li>Strong working expertise in LLM gateway and AI gateway architecture, including model routing, fallback and retry, prompt and semantic caching, rate limiting, tenant isolation, token accounting, and policy enforcement at the gateway boundary.
</li><li>Deep experience in retrieval and knowledge architecture, including vector databases (pgvector, Azure AI Search, Pinecone, Weaviate, Qdrant, or equivalent), hybrid retrieval, reranking, embeddings model selection, knowledge graphs (FIBO, RDF, OWL, SHACL, Neo4j, Apache Jena), and context engineering at scale.
 
Strong grounding in agent and workload identity, including non-human identity (NHI) governance, agent identity lifecycle, OAuth 2.1, OIDC, SPIFFE / SPIRE-style workload identity, mTLS, just-in-time credentialing, secret-less architectures, and integration with enterprise IAM (Microsoft Entra ID, Azure AD, PAM platforms).
</li><li>Deep proficiency in cloud-native platform engineering on Azure (preferred) and AWS, including Terraform, Kubernetes (AKS / EKS), Helm, service mesh (Istio, Linkerd), API gateways (APIM, Kong, Envoy), private networking, and policy-as-code (OPA, Azure Policy).
 
Strong programming proficiency in at least one of Python, Go, or Java, with active engagement in code reviews, design reviews, and platform-level engineering decisions.
</li><li>Strong Site Reliability Engineering background, including production on-call, incident leadership, post-mortem discipline, SLO and error-budget design, capacity planning, and observability tooling (Open Telemetry, Prometheus, Grafana, Datadog, or equivalent) tuned for non-deterministic AI workloads.
 
Working knowledge of integration patterns relevant to banking platforms, including event-driven architectures (Kafka, Event Hubs), API gateways, ESB, ISO 20022, payment rails, and core banking integration patterns.
</li><li>Strong grounding in security engineering for regulated industries, including OWASP LLM Top 10, prompt injection defence, model supply-chain security, secrets management, network segmentation, data residency, and audit logging.
 
Engineering Leadership &amp; Collaboration
</li><li>Demonstrated ability to operate effectively in a two-in-a-box model with another senior technical owner, including shared accountability, shared on-call, and shared decision-making.
</li><li>Track record of raising engineering standards across a platform team through standards, design reviews, documentation, and direct technical mentorship.
 
Strong written and verbal communication, with the ability to engage credibly with engineers, architects, risk and audit functions, hyperscaler and vendor technical teams, and senior business stakeholders.
 
Minimum Experience
</li><li>10+ years in software and platform engineering, with significant time spent at senior, staff, or principal engineering / architect level.
 
Demonstrated production ownership of at least one platform serving multiple internal or external consumers at enterprise scale, ideally including agentic or LLM workloads.
</li><li>Substantive experience in financial services, banking, or another comparably regulated industry.
 
Demonstrated SRE and on-call experience on a production platform with meaningful availability and operational requirements.
 
Track record of building, integrating, or operating LLM-based or agentic systems in production.
Minimum Qualifications
</li><li>Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or a related technical discipline.
Preferred / Beneficial
</li><li>Master's degree (MSc / MTech / MEng) in Computer Science, Software Engineering, Distributed Systems, or a related discipline preferred.
</li><li>Relevant professional certifications in cloud engineering (Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS DevOps Professional, AWS
</li><li>Solutions Architect Professional, Certified Kubernetes Administrator), security (CISSP, CCSP), or SRE considered an advantage.</li></ul></div></div>
 <div><div>Responsibilities</div></div><div></div>
 <div><div>Qualifications</div></div><div></div>
 <div><div>About Us</div>
<div><div>About Us: 
</div><div></div> 
<div>First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients. 
</div><div></div> 
<div>Life at FAB: 
</div><div></div> 
<div>Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to &quot;Grow Stronger.&quot; We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization 
</div><div></div> 
<div>Career Development: 
</div><div></div> 
<div>FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development. 
</div><div></div> 
<div>Our Values: 
</div><div></div> 
<div>At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication. 
</div><div></div> 
<div>Join our team and be part of a journey to shape the future of banking.</div></div></div><div></div>

Senior Engineer, Platform Engineering and Architecture

<div>About us
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
Job Purpose
The Specialist Structural Engineer will provide specialist-level technical expertise and engineering support for Civil and Structural engineering activities on ADNOC Offshore projects during the FEED, EPC, fabrication, construction, installation, and commissioning phases. The role is responsible for reviewing EPC Contractor deliverables, ensuring compliance with ADNOC specifications, international codes, project requirements, quality standards, and HSE regulations while supporting successful project execution.
Key Responsibilities
<ul><li>Provide specialist Civil and Structural engineering support throughout FEED, Detailed Engineering, Procurement, Construction, Installation, and Commissioning phases.
</li><li>Review and approve EPC Contractor Civil and Structural engineering deliverables, including calculations, drawings, specifications, material requisitions, and technical reports.
</li><li>Review structural analysis and design for offshore facilities including jackets, topsides, decks, bridges, modules, pipe racks, equipment foundations, and support structures.
</li><li>Ensure compliance with ADNOC standards, project specifications, international codes, and engineering best practices.
</li><li>Participate in design reviews, HAZID, HAZOP, constructability reviews, model reviews, and technical workshops.
</li><li>Review structural load calculations, foundation design, fatigue assessments, transportation, lifting, and installation analyses.
</li><li>Coordinate with multidisciplinary engineering teams including Process, Mechanical, Piping, Electrical, Instrumentation, Pipeline, Marine, Geotechnical, and Construction disciplines.
</li><li>Support procurement activities through technical bid evaluations, vendor document reviews, and material approvals.
</li><li>Review fabrication, transportation, offshore installation, and commissioning methodologies.
</li><li>Identify technical risks and provide practical engineering solutions to ensure safe and cost-effective project execution.
</li><li>Provide technical support during site visits, fabrication yards, offshore construction, and commissioning activities when required.
</li><li>Monitor engineering progress and ensure timely resolution of technical queries (TQs), site queries (SQs), and engineering change requests.
</li><li>Ensure engineering deliverables are completed in accordance with project schedule, quality requirements, and HSE objectives.
</li><li>Mentor junior engineers and provide technical guidance within the Civil/Structural discipline.
</li></ul>Minimum Qualifications &amp;Experience
<ul><li>Bachelor&rsquo;s degree in relevant engineering discipline or equivalent, from an accredited university; or a minimum of fifteen (15) years of relevant experience in the Oil &amp; Gas or Petrochemical industry.
</li><li>Must have at least five (5) years of experience in a similar position on mega Oil &amp; Gas or Petrochemical projects.
</li><li>ADNOC &amp; Offshore project experience is required.
</li><li>PMC experiences are preferrable.
</li><li>Proven experience in FEED and EPC phases of large Offshore projects us required
</li><li>ADNOC Offshore PMC project experience is required
</li><li>5+ yearsGCC project experience is preferred
</li></ul>Technical Competencies
<ul><li>Strong knowledge of offshore structural engineering principles.
</li><li>Experience in structural design of jackets, topsides, decks, modules, equipment foundations, pipe racks, and steel structures.
</li><li>Knowledge of offshore transportation, lifting, installation, fatigue, seismic, blast, and accidental load analysis.
</li><li>Familiarity with international standards including:
<ul><li>ADNOC Standards
</li><li>API
</li><li>DNV
</li><li>ISO 19902
</li><li>AISC
</li><li>Eurocodes
</li><li>BS Standards
</li></ul></li><li>Experience using structural engineering software such as:
<ul><li>SACS
</li><li>STAAD.Pro
</li><li>SESAM
</li><li>ANSYS
</li><li>AutoCAD
</li><li>Navisworks
</li><li>MS Office
</li></ul></li></ul>Key Skills
<ul><li>Strong technical and analytical capability.
</li><li>Excellent engineering judgement and problem-solving skills.
</li><li>Effective communication and stakeholder management.
</li><li>Experience working within PMC environments.
</li><li>Ability to manage multiple priorities and coordinate across multidisciplinary teams.
</li><li>Strong understanding of project execution, quality assurance, HSE requirements, and risk management.
</li><li>Ability to work effectively with clients, EPC Contractors, vendors, and construction teams.
</li></ul>Preferred Experience
<ul><li>ADNOC Offshore Brownfield and Greenfield projects.
</li><li>Offshore platforms, Wellhead Towers, Jackets, Topside facilities, Bridges, and Modular Structures.
</li><li>Experience supporting offshore fabrication yards, hook-up, commissioning, and offshore installation activities.
</li>Familiarity with ADNOC Engineering Standards (AES), Specifications, and Project Management Systems. 
<li>
 
</li></ul>Moving forward together 
 
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
<div>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div></div>

Specialist Structural Engineer

Salient Group

<div>
 
 
 AI/ML Engineer (Mid, Senior, Lead)
 
 
 
 
 Location
 
 | Abu Dhabi/Dubai (Hybrid)
 
 
 
 Comp
 
 | $200k-$250k + Equity + Package
 
 
 
 Focus
 
 | Real-World AI Deployment Across Enterprise &amp; Operational Environments, AI Systems, LLM Applications &amp; Agentic Workflows
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an AI/ML Engineer, you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
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 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
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Artificial Intelligence Engineer

Brain Co.

<div>
 Our Mission
 
 
 Rebuild how the world works, to make institutions work better for the people they serve.
 
 
 
 About Brain Co.
 
 
 
 Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
 
 
 Why Now
 
 
 Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
 
 
 Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
 
 
 You'll work alongside exceptional peers on some of the hardest problems in applied AI. It&rsquo;s the kind of work you'll still be proud of in ten years from now.
 
 
 
 Machine Learning Engineer, Applied AI
 
 
 
 
 About The Role
 
 
 
 So much of the work society depends on is still slower and harder than it should be. Permits take months. Claims sit unresolved. And AI hasn't changed that &mdash; because the bottleneck isn't the models. It's the institutional context AI needs to do the work: rules, history, relationships, and judgment scattered across people, documents, and legacy systems.
 
 
 BrainCo exists to fix that. We build agent-native operating systems for the institutions society depends on, and our products are the first of their kind in the world &mdash; we were the first, anywhere, to fully automate construction permitting, and we're now doing the same across insurance and other industries. There is no playbook here, because no one has built this before.
 
 
 As a Machine Learning Engineer on Applied AI, your work begins where the demo ends: getting a model to look impressive is the easy part; making it a production decision system an institution stakes its process on is the job. The problems come in every shape &mdash; custom vision model pipelines that check blueprints against building codes at 95%+ accuracy, agents that untangle policy stacks to reveal coverage gaps, systems that predict from clinical records whether a patient is on their care path &mdash; and you'll own them end-to-end, from ambiguous customer problem to the eval that catches a whole class of errors.
 
 
 This is frontier ML applied where it's hardest and matters most. The problems are underspecified, the documents are brutal, the accuracy bar is institutional-grade &mdash; and the feedback loops are real, because our systems move real workflows forward every day.
 
 
 
 Who We're Looking For
 
 
 
 You understand how machine learning actually works &mdash; not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. And you live at the bleeding edge of modern AI, with hard-won instincts for squeezing the most out of LLMs and agentic systems &mdash; prompting, fine-tuning, tool use, and reasoning. That combination is the job: you know when a fine-tuned segmentation model beats a VLM, when a rule engine beats both, and how to compose all three into a system more accurate than any single model. You treat frontier models as components to be measured, pushed, and engineered &mdash; never as magic.
 
 
 Most of all, you're energized by building things that have never existed, and comfortable when the problem, the data, and the definition of success all have to be invented at once.
 
 
 
 The Problems You'll Work On
 
 
 
 
 Composite AI systems and credit assignment.
 
 Our most demanding systems chain vision transformers, segmentation models, VLM reasoning, and rule engines. When the pipeline is wrong, which component failed? One of the most interesting open problems in applied ML.
 
 
 
 Document understanding beyond the frontier.
 
 Blueprints, site plans, policy stacks, contracts, clinical records &mdash; dense, multimodal documents that break off-the-shelf models. You'll build models that actually read them.
 
 
 
 Agents that learn from real work.
 
 Our deployments generate verified, ground-truth outcomes on every decision &mdash; reward signals most labs can only simulate. You'll help design the data, evals, and training loops to build and fine-tune agents on them.
 
 
 
 Evaluation as a product discipline.
 
 When a regulator has to trust your system, evals are the product. You'll build eval suites and failure-mode taxonomies rigorous enough to earn institutional sign-off.
 
 
 
 Institutional Intelligence that compounds.
 
 Every verified correction improves the system twice: the corrected fact percolates to every application, and the system that builds the intelligence learns to build it better. You'll work on both loops.
 
 
 
 In This Role, You Will
 
 
 
 
 Turn ambiguity into shipped systems
 
 &mdash; from no problem statement, no labeled data, and no agreed definition of success, to well-posed ML problems and production deployments.
 
 
 
 Own AI systems end-to-end.
 
 There is no handoff: the person who trains the model owns its behavior in production.
 
 
 
 Work at the research frontier with production stakes
 
 , applying LLMs, RL fine-tuning, and agentic systems where the output is a decision an institution acts on.
 
 
 
 Work directly with the institutions we serve
 
 &mdash; permit reviewers, underwriters, compliance officers &mdash; to understand how decisions actually get made and ensure your systems change how the work gets done.
 
 
 
 Engineer for production reality
 
 , navigating accuracy, latency, cost, and reliability in environments far messier than any benchmark.
 
 
 
 Raise the bar across the company
 
 through design reviews, our internal paper club, and the shared playbook for AI systems institutions can trust.
</div>

Machine Learning Engineer, Applied AI - Deployed

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