lotteries agent

Al Tawasoa Employment Services

Position: LOTO Officer (Lockout / Tagout) &ndash; Solar / PV ProjectLocation: Saudi Arabia (KSA) Experience Required: Minimum 3 years in Solar / PV ProjectsJob SummaryWe are hiring an experienced LOTO Officer to support our Solar / PV construction project in KSA. The role is responsible for implementing and monitoring the Lockout / Tagout (LOTO) system to ensure all hazardous energy sources are properly isolated before inspection, maintenance, testing, or repair works are carried out on-site.Key Responsibilities<ul><li>Implement and manage the Lockout / Tagout (LOTO) program on-site in accordance with project safety procedures.</li><li>Identify hazardous energy sources including electrical, mechanical, hydraulic, pneumatic, and stored energy systems.</li><li>Ensure proper isolation, lockout, tagging, verification, and release procedures are followed before work begins.</li><li>Coordinate with operations, maintenance, electrical, and construction teams for safe equipment isolation.</li><li>Verify Zero Energy State (ZES) before authorizing work on equipment or systems.</li><li>Maintain LOTO registers, isolation records, permits, and related documentation.</li><li>Conduct site inspections and audits to ensure compliance with LOTO procedures.</li><li>Investigate LOTO violations, unsafe acts, or procedural gaps, and implement corrective actions.</li><li>Deliver LOTO awareness training / toolbox talks to site personnel and subcontractors.</li><li>Ensure compliance with KSA HSE regulations, client requirements, and international safety standards.</li></ul>Requirements<ul><li>Minimum 3 years of experience as a LOTO Officer / Electrical Safety Officer / HSE Officer in Solar / PV, power, or industrial construction projects.</li><li>Strong understanding of energy isolation procedures, electrical safety, and hazardous energy control.</li><li>Familiarity with switchgear, transformers, inverters, substations, MCCs, and electrical distribution systems is preferred.</li><li>Knowledge of PTW systems and how LOTO integrates with permit-controlled work.</li><li>Relevant certifications such as NEBOSH, IOSH, OSHA LOTO, or equivalent are preferred.</li><li>Good communication, coordination, and documentation skills.</li></ul>Preferred<ul><li>Previous experience in utility-scale Solar / PV projects.</li><li>GCC / Saudi Arabia project experience is an advantage.</li><li>Basic understanding of HV / MV / LV electrical systems is preferred.</li></ul>Job Types: Full-time, PermanentWork Location: In person

LOTO Officer

ALEMCO

<div>
 
 
 LOTO Coordinator - Abu Dhabi, UAE (On-site)
 
 
 
 Are you an experienced electrical safety leader who can govern and control complex energisation environments across large-scale MEP projects?
 
 
 
 
 
 
 Who We are?
 
 
 
 ALEC Holdings PJSC, part of the Investment Corporation of Dubai (ICD), is a leading GCC construction group with over two decades of success delivering some of the region&rsquo;s most complex and high-profile projects. As a proudly publicly listed company, ALEC continues to raise the bar for quality, innovation, and excellence in construction, driving iconic developments that shape skylines across the Middle East.
 
 
 
 
 
 In the UAE, ALEC has delivered many of the nation&rsquo;s most iconic developments, operating as a fully integrated contractor through specialist business units that provide end-to-end construction solutions.
 
 
 
 
 
 ALEC Data Centre Solutions delivers the infrastructure behind the digital world. We construct and upgrade mission-critical environments for top-tier clients - always prioritising performance, speed, and precision.
 
 
 
 
 
 
 Why Join Us?
 
 
 
 As a LOTO Coordinator, you will manage and control LOTO permits, isolation processes, and energization activities within assigned zones, ensuring safe execution of works in compliance with ESSW and company procedures.
 
 
 
 
 
 
 Your Role
 
 
 
 As LOTO Coordinator, you will:
 
 <ul>
 <li>
 Review and approve LOTO permits as per authority matrix.
 </li>
 <li>
 Verify isolation sources, SLDs, and load schedules.
 </li>
 <li>
 Ensure correct lock application and key control.
 </li>
 <li>
 Monitor energized equipment and update energization status.
 </li>
 <li>
 Conduct field audits and compliance checks.
 </li>
 <li>
 Participate in coordination meetings for energization planning.
 </li>
 <li>
 Support incident investigation related to LOTO.
 </li>
 <li>
 Mentor junior coordinators.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 Experience
 
 <ul>
 <li>
 3&ndash;6+ years within
 
 MEP, commissioning, or electrical safety roles
 
 </li>
 <li>
 Proven experience managing high-volume permit and isolation systems
 </li>
 <li>
 Experience working on large-scale infrastructure, data centre, or mission-critical projects preferred
 </li>
 </ul>
 
 Technical Expertise
 
 <ul>
 <li>
 Advanced knowledge of electrical systems and isolation hierarchy
 </li>
 <li>
 Strong understanding of electrical hazards and risk assessment
 </li>
 <li>
 Ability to manage energisation sequencing and control strategy
 </li>
 <li>
 Strong documentation and MS Office proficiency
 </li>
 </ul>
 
 Leadership &amp; Governance
 
 <ul>
 <li>
 Strong decision-making capability in high-risk environments
 </li>
 <li>
 Ability to operate within defined authority matrices
 </li>
 <li>
 Experience leading audits and driving compliance culture
 </li>
 </ul>
 
 Qualifications
 
 <ul>
 <li>
 Degree in Electrical Engineering or related discipline (or equivalent experience)
 </li>
 <li>
 Professional certifications such as
 
 NEBOSH, NFPA 70E, ASP/CSP
 
 are highly desirable
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to lead electrical safety governance on high-profile UAE projects
 </li>
 <li>
 Direct exposure to senior leadership and client stakeholders
 </li>
 <li>
 Structured growth pathway within ALEMCO&rsquo;s commissioning and safety environment
 </li>
 <li>
 A culture that prioritises safety, accountability, and operational excellence
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ready to lead field execution on high-impact projects?
 
 
 
 If you're a reliable, proactive LOTO Coordinator with a passion for quality and results&mdash;we want to hear from you.
 
 
 Join ALEC Data Centre Solutions and play a pivotal role in shaping a high-performing team that drives our success.
 
 
 Apply today and be part of something excellent!
 
 
 
</div>

LOTO Coordinator

MEDIFLOWS BILLING SOLUTIONS Company

Job Title: AI Agent Developer Trainer (Part-Time)Job SummaryWe are seeking a part-time AI Agent Developer Trainer to teach students how to build and understand AI agents. The ideal candidate can clearly explain concepts and guide students through practical learning.Responsibilities<ul><li>Design and deliver training programs focused on AI agent development</li><li>Large Language Models (LLMs)</li><li>Prompt engineering</li><li>Agent frameworks (e.g., LangChain, AutoGen)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Guide learners in building real-world AI agents (chatbots, automation tools, multi-agent systems)</li><li>Create course materials, assignments, and practical labs</li><li>Provide one-on-one mentorship and feedback</li><li>Stay updated with the latest trends in AI and agent technologies</li><li>Evaluate student progress through projects, assessments, and code reviews</li><li>Assist learners in deploying AI agents (APIs, cloud platforms, etc.)</li></ul>Requirements<ul><li>Strong knowledge of AI, Machine Learning, and AI agents</li><li>Experience with Python and AI tools/frameworks</li><li>Good communication and teaching skills</li><li>Ability to explain concepts to beginners</li></ul>Job TypePart-Time (On-site)Job Type: Part-timePay: Rs40,000.00 per monthWork Location: In person

AI Agent Developer Trainer

CES - MATLAB® in the Middle East

<div>
 
 Overview
 
 
 Software engineer with proven, hands-on experience developing software using Large Language Models (LLMs) and agent-based coding tools (e.g., Codex, Claude Code, or similar). This capability is mandatory and must be demonstrated.
 
 
 The role combines traditional backend/software engineering with the design and orchestration of LLM-driven development workflows. The candidate must be capable of directing agents effectively to build, extend, and maintain production-grade systems. The position is on-site.
 
 
 
 
 
 Responsibilities
 
 
 LLM-Driven Development &amp; Agent Orchestration
 
 <ul>
 <li>
 Design and implement workflows using LLM-based coding agents.
 </li>
 <li>
 Drive software development through tools such as Codex, Claude Code, or equivalent.
 </li>
 <li>
 Define prompts, constraints, and system structures to ensure reliable agent output.
 </li>
 <li>
 Evaluate, debug, and refine agent-generated code.
 </li>
 <li>
 Establish best practices for agent-assisted development across the organization.
 </li>
 </ul>
 
 Backend &amp; Service Development
 
 <ul>
 <li>
 Design, develop, and maintain internal backend services.
 </li>
 <li>
 Implement APIs and service layers supporting internal platforms and tools.
 </li>
 <li>
 Work with databases (SQL/NoSQL), ensuring performance and reliability.
 </li>
 <li>
 Handle authentication and authorization mechanisms (e.g., OAuth, JWT, identity providers).
 </li>
 </ul>
 
 Infrastructure &amp; Containerization
 
 <ul>
 <li>
 Build and manage containerized applications (Docker-based environments).
 </li>
 <li>
 Support deployment workflows and service orchestration.
 </li>
 <li>
 Ensure services are scalable, maintainable, and secure.
 </li>
 </ul>
 
 Integrations &amp; External Systems
 
 <ul>
 <li>
 Integrate with third-party APIs and external platforms.
 </li>
 <li>
 Design robust data flows between internal systems and external services.
 </li>
 <li>
 Handle failures, retries, and monitoring of integrations.
 </li>
 </ul>
 
 LLM-Based System Integration
 
 <ul>
 <li>
 Embed LLM capabilities into internal tools and services.
 </li>
 <li>
 Build agent-based systems for automation, data processing, and engineering workflows.
 </li>
 <li>
 Work on secure and controlled usage of LLMs (data handling, privacy, execution boundaries).
 </li>
 </ul>
 
 System Reliability &amp; Maintenance
 
 <ul>
 <li>
 Maintain and improve existing internal systems.
 </li>
 <li>
 Debug complex issues across services, integrations, and agent workflows.
 </li>
 <li>
 Implement logging, monitoring, and alerting where needed.
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 
 
 
 Must Have
 
 <ul>
 <li>
 3&ndash;6 years of hands-on software development experience
 </li>
 <li>
 Proven, demonstrable experience developing software using LLMs
 </li>
 <li>
 Practical experience using agent-based coding tools (e.g., OpenAI Codex, Claude Code or equivalent)
 </li>
 <li>
 Strong backend development capability (Python, Node.js, or similar)
 </li>
 <li>
 Experience designing and building APIs (REST or similar)
 </li>
 <li>
 Solid understanding of databases (SQL and/or NoSQL)
 </li>
 <li>
 Experience implementing authentication and authorization (OAuth, JWT, etc.)
 </li>
 <li>
 Hands-on experience with Docker and containerized environments
 </li>
 <li>
 Ability to validate, debug, and correct AI-generated code
 </li>
 <li>
 Strong problem-solving and debugging skills
 </li>
 <li>
 Ability to work independently and structure ambiguous problems
 </li>
 <li>
 Professional level of English
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Experience building agent-based or multi-agent systems
 </li>
 <li>
 Strong prompt engineering skills and LLM evaluation techniques
 </li>
 <li>
 Experience integrating LLMs into production systems
 </li>
 <li>
 Familiarity with CI/CD pipelines and DevOps practices
 </li>
 <li>
 Knowledge of system security and data protection practices
 </li>
 <li>
 Experience designing scalable distributed systems
 </li>
 <li>
 Exposure to internal developer platforms or tooling
 </li>
 <li>
 Experience optimizing developer workflows using AI tools
 </li>
 </ul>
 
 
</div>

Software Engineer – LLM & Agentic Systems

VeeRteq Solutions Inc.

<div>We are seeking a high-caliber AI Tech Lead / AI Engineer to design, build, and operationalize agentic AI solutions that accelerate analytics and reporting delivery. This role goes beyond basic agent creation and requires hands-on experience with agent orchestration, memory, and enterprise-grade data access patterns, delivering scalable components that fit into an existing framework while rapidly adapting to incoming business requests.
Responsibilities: -
<ul><li>Design, Architect, implement, and iterate on agentic AI solutions to shorten the cycle time for analytics, log analysis, and reporting requests.</li>
<li>Design agent orchestration patterns (multi-agent workflows), tool/function calling, and memory approaches appropriate for enterprise deployments.</li>
<li>Define secure and scalable data access patterns for agents (retrieval, context building, and grounding), integrating with existing data sources and governance expectations.</li>
<li>Partner closely with product, analytics, and engineering stakeholders to intake requirements quickly and deliver working prototypes and production-ready solutions.</li>
<li>Engineer reusable components and best practices that enable scalable delivery (not one-off scripts), aligned to an existing base framework.</li>
<li>Operationalize solutions for reliability and maintainability: testing strategies, monitoring/observability, prompt/version management, and deployment automation.</li>
<li>Evaluate build vs. buy options pragmatically when needed, while keeping focus on shipping solutions on the current platform stack.</li>
</ul>Tech Stack (Core): -
<ul><li>Cloud: AWS (primary deployment environment; open to alternatives)</li>
<li>Data/Analytics Platform: Databricks (including native &quot;chat with data&quot; capabilities and potential agent integrations)</li>
<li>Agent Frameworks: LangChain, LangGraph</li>
<li>Conversational analytics patterns: Ask-questions-on-data / conversational BI approaches (agent-driven analytics and dashboards</li>
</ul>Experience: -
10+ Years
Location: -
Rosemont, IL (3days/Week)
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
<ul><li>Demonstrated experience delivering agentic AI solutions beyond prototypes, including enterprise deployment considerations.</li>
<li>Strong hands-on engineering background with AWS-based deployments.</li>
<li>Experience working with modern data platforms (e.g., Databricks) and integrating LLM solutions with analytics/data ecosystems.</li>
<li>Ability to operate as a senior individual contributor who can define architecture and implement key pieces end-to-end.</li>
</ul>Excellent communication and collaboration skills with US-based stakeholders
Skills &amp; Expertise Needed
<ul><li>Agentic AI engineering: building and deploying LLM-powered agents for real business workflows.</li>
<li>Agent orchestration: designing multi-step and/or multi-agent flows; managing tool use, control flow, retries, and failure handling.</li>
<li>Agent memory: short-term and long-term memory patterns; conversation state; summarization and context window management.</li>
<li>Enterprise data access patterns for agents: retrieval/grounding strategies; context assembly from structured and unstructured sources; performance-conscious access.</li>
<li>Production deployment mindset: security, reliability, monitoring, and maintainability for enterprise-grade AI services.</li>
<li>Architecture &amp; best practices: ability to design scalable components that fit into an existing framework and can be extended by the team.</li>
<li>Rapid requirements intake: quickly translating ambiguous reporting/analytics asks into implementable solutions and iterating with stakeholders.</li>
<li>High autonomy: tech-lead level capability without direct people management; self-directed and able to set engineering direction for the workstream</li>
</ul>Good-to-Have Skills
<ul><li>Experience implementing retrieval-augmented generation (RAG) and hybrid retrieval across structured/unstructured sources.</li>
<li>Experience with LLMOps practices: prompt/version management, automated evaluation, and regression testing.</li>
<li>Experience building observability for AI systems (quality metrics, traces, latency/cost monitoring).</li>
<li>Familiarity with Databricks-specific agent or model serving patterns (where applicable).</li>
</ul>Experience building lightweight analytics experiences on top of agent outputs (e.g., auto-generated insights/dashboards).</div>

AI Tech Lead / AI Engineer

AR5 Labs

AI Engineering Intern &mdash; AR5 LabsRemote | InternshipABOUT AR5 LABSAR5 Labs builds AI-powered automation tools for data analytics. Our flagship product, PlotStudio AI, is a desktop analytics platform where specialized AI agents collaborate through a multi-stage pipeline to deliver the kind of analysis a senior data scientist would produce, complete with code, visualizations, statistical rigor, and executive-grade narrative. Think Cursor, but for data analytics.Product: https://www.plotstudio.ai/LinkedIn: https://www.linkedin.com/company/ar5-labs/ABOUT THE ROLEWe're looking for an AI Engineering Intern to help build and improve the AI agent pipeline behind PlotStudio AI.This is not a research internship. You'll work on production AI systems: prompt engineering, agent orchestration, model evaluation, and the infrastructure that makes multi-agent workflows reliable. You'll see how AI agents are actually built, tested, and shipped to real users.You'll work directly with the founder and the AI/ML team. The codebase is small enough that your contributions will ship to production quickly, and complex enough that you'll learn how a real multi-agent system works from the inside.If you're a student who wants to build AI systems, not just study them, this is the role.RESPONSIBILITIES- Help design, test, and iterate on prompts for PlotStudio's multi-agent pipeline (routing, planning, coding, interpretation agents)- Build evaluation scripts to benchmark agent output quality across different datasets and question types- Run experiments comparing model performance (GPT-4.1, GPT-5.1, Claude, Gemini) on specific analytical tasks- Help improve agent self-correction logic: how the system detects errors, retries, and adjusts its approach- Work on domain skill modules that inject specialized knowledge (finance, healthcare, econometrics) into the agent pipeline- Build internal tooling for tracking agent accuracy, token usage, and failure modes- Help extend the agent orchestration layer (built with LangGraph) to support new workflow types- Document prompt versions, experiment results, and engineering decisions as you goQUALIFICATIONSRequired:- Currently pursuing a degree in Computer Science, Data Science, AI/ML, or a related field (rising sophomore, junior, or senior)- Comfortable writing Python. You should be able to read, write, and debug code independently- Basic understanding of how LLMs work: prompts, tokens, context windows, temperature- Genuine interest in AI agents, not just chatbots. You should have an opinion on why single-prompt AI falls short for complex tasks- Willingness to experiment, break things, and iterate quickly- Self-directed and comfortable asking questions when you're stuck- Able to commit 15-20 hours per weekNice to have:- Experience using the OpenAI API, Anthropic API, or any LLM SDK- Familiarity with LangChain, LangGraph, CrewAI, or any agent framework- Personal projects involving LLMs, prompt engineering, or AI agents- Coursework in machine learning, NLP, or statistics- Familiarity with Git and version control- Experience with FastAPI, Flask, or any Python backend framework- Understanding of statistical methods (regression, hypothesis testing, time series)WHAT YOU'LL LEARN- How a production multi-agent system is built: routing, planning, execution, self-correction, and interpretation agents working in sequence- Prompt engineering at a level most people never see: versioned prompts, domain-aware injection, structured output parsing, and quality gates between agents- How to evaluate AI systems beyond vibes: building benchmarks, measuring accuracy, tracking regressions across prompt versions- How to ship AI to real users in a small, fast-moving teamWHY THIS INTERNSHIP- You'll work on a real multi-agent AI system, not a tutorial project- Small team means high visibility and direct mentorship from the founder- Your work will ship to production and be used by real customers- You'll have something concrete for your resume: &quot;I helped build and evaluate the AI agent pipeline for a production analytics platform&quot;MUST HAVEWe are across the United States and Canada. Must be a citizen of either country.HOW TO APPLYFollow our LinkedIn page and DM us directly, or email us:1. A short intro about yourself2. Your resume or LinkedIn profile3. What year you're in and what you're studying4. Why you want to work at AR5 LabsEmail: plotstudio@ar5labs.comLinkedIn: https://www.linkedin.com/company/ar5-labs/Pay: $20.00 - $45.00 per hourWork Location: Remote

AI Engineer Intern

Openkyber

<div>Job Title: ServiceNow Virtual Agent &amp; ITSM Integration Specialist
Location: Remote
Duration: Contract
Core Platform Responsibilities (ServiceNow 6 Mandatory)
<ul><li>Design and build Virtual Agent conversational flows using card based UI, conditional logic, and guided actions</li>
<li>Configure and manage ITSM workflows for Incident, Request, Universal Request, and SLA lifecycle handling</li>
<li>Implement SLA logic, triggers, and state transitions for chatbot initiated and agent assisted flows</li>
<li>Develop policy aware self service actions aligned with entitlement, approval, and compliance rules</li>
<li>Build backend automation using Flow Designer and Integration Hub</li>
<li>Develop custom logic using Glide API (JavaScript)</li>
<li>Ensure PII masking, audit logging, and enterprise compliance standards are met</li>
<li>Integrate ServiceNow Virtual Agent with external systems and internal platforms</li>
</ul>Extended Integration Responsibilities AI &amp; Knowledge Integration (Added Skill Set)
<ul><li>Implement AI based knowledge retrieval for &quot;How to&quot; and troubleshooting use cases</li>
<li>Configure intent detection and classification using ServiceNow Predictive Intelligence</li>
<li>Integrate external NLP services (AWS Comprehend, Azure Cognitive Services, OpenAI APIs) via REST APIs</li>
<li>Connect enterprise knowledge bases to chatbot flows for contextual responses</li>
<li>Ensure content safety, governance, and policy compliance for AI driven responses</li>
</ul>Microsoft Ecosystem Integration (Added Skill Set)
<ul><li>Enable Microsoft Teams chat actions and Outlook meeting scheduling via deep links</li>
<li>Implement and secure Microsoft 365 authentication for ServiceNow initiated actions</li>
<li>Validate integration approvals and security requirements</li>
<li>Design solutions with readiness for future Microsoft Graph API enhancements</li>
</ul>Human Handover &amp; Escalation (Added Skill Set)
<ul><li>Implement warm transfer from ServiceNow Virtual Agent to Hercules with contextual payload</li>
<li>Ensure conversation transcript, ticket state, and SLA continuity during handover</li>
<li>Validate agent tooling to support seamless continuation of user journeys</li>
<li>Partner with AMCC and Service Desk teams for escalation design and testing</li>
</ul>Technical Skills &amp; Technologies Mandatory
<ul><li>ServiceNow Virtual Agent Designer</li>
<li>ServiceNow ITSM (Incident, Request, SLA)</li>
<li>Flow Designer &amp; Integration Hub</li>
<li>Glide API (JavaScript)</li>
<li>REST API development</li>
</ul>Additional / Supporting
<ul><li>ServiceNow Predictive Intelligence</li>
<li>JavaScript &amp; Node.js</li>
<li>Python</li>
<li>RESTful APIs &amp; OAuth authentication</li>
<li>AWS fundamentals</li>
<li>ServiceNow DevOps &amp; CI/CD basics</li>
</ul>Core Competencies
<ul><li>Conversational design and chatbot lifecycle management</li>
<li>Secure API development and integration</li>
<li>SLA driven automation and state management</li>
<li>Testing, debugging, and optimization of chatbot and workflow solutions</li>
<li>Collaboration with platform, product, and support teams</li>
</ul>Preferred Experience
<ul><li>Enterprise Service Desk automation and digital workplace initiatives</li>
<li>Virtual Agent containment and deflection optimization</li>
<li>Regulated or compliance driven environments</li>
<li>Multi platform integrations (ServiceNow, Microsoft 365, AWS, internal tools)</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

OpenAM

Search 1327+ Lotteries agent jobs near you this May. New roles added regularly across leading industries. Apply today.