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associate production engineer

infrastructure engineer

ai engineer generative ai and automation

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI.
Key Responsibilities<ul><li>
Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models</li><li>
Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel</li><li>
Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations</li><li>
Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases</li><li>
Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services</li><li>
Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy</li><li>
Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions</li><li>
Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics</li><li>
Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment</li><li>
Develop MCP (Model Context Protocol) server integrations to extend agent capabilities</li></ul>
Requirements<ul><li>
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered</li><li>
2 or more years of hands-on experience building production AI systems or intelligent automation solutions</li><li>
Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks</li><li>
Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications</li><li>
Experience with vector databases and semantic search implementations is strongly preferred</li><li>
Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications</li><li>
Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial</li><li>
Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines</li></ul>
Technical Skills
LLM APIs: Anthropic Claude (claude-opus-4, claude-sonnet-4), OpenAI GPT-4o, Google Gemini, Mistral
Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Haystack
Workflow Automation: n8n, Make (Integromat), Zapier, Apache Airflow
Vector Databases and RAG: Pinecone, Weaviate, Qdrant, pgvector, Chroma, LlamaIndex
Programming: Python (primary), JavaScript/TypeScript, REST API design
Cloud and MLOps: AWS, Azure, GCP, Docker, FastAPI, CI/CD for AI pipelines
Observability and Evaluation: LangSmith, Helicone, Weights and Biases, custom evaluation harnesses
AI Agent Focus Areas<ul><li>
Autonomous and semi-autonomous agents for customer service, operations, marketing, and data analysis</li><li>
Multi-agent orchestration including planner, executor, critic, and memory agent patterns</li><li>
Knowledge retrieval systems including enterprise RAG, document Q&amp;A, and semantic search</li><li>
Process automation integrating CRM, ERP, and communication tools end-to-end</li><li>
Agent safety, guardrails, and human-in-the-loop oversight mechanisms</li><li>
MCP server development for extending agent capabilities</li></ul>
Soft Skills<ul><li>
Strong problem-solving ability and analytical thinking</li><li>
Ability to translate complex business needs into practical technical solutions</li><li>
Effective collaboration and communication in a team-oriented environment</li><li>
Intellectual curiosity and commitment to staying current with AI research and trends</li></ul>
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

AI Engineer – Generative AI and Automation

Almaimana Accounting and Bookkeeping

Location: Remote / Dubai, UAE (Project-Based) Employment Type: Freelance / Contract Department: Technology &amp; Digital InnovationJob SummaryWe are seeking a talented and experienced Freelance AI Engineer to design, develop, and implement Artificial Intelligence (AI) solutions on a project basis. The ideal candidate will have hands-on experience in Machine Learning, Generative AI, Natural Language Processing (NLP), AI automation, and Large Language Models (LLMs). The role requires the ability to work independently, manage project timelines, and deliver scalable AI solutions aligned with business objectives.Key Responsibilities<ul><li>Develop and deploy AI-powered applications, chatbots, virtual assistants, and automation solutions.</li><li>Build and fine-tune Machine Learning and Deep Learning models.</li><li>Design and implement Generative AI solutions using Large Language Models (LLMs).</li><li>Integrate AI solutions with websites, mobile applications, ERP systems, and business platforms.</li><li>Develop Retrieval-Augmented Generation (RAG) systems and AI agents.</li><li>Analyze business requirements and recommend suitable AI technologies.</li><li>Prepare technical documentation and deployment guides.</li><li>Conduct testing, troubleshooting, and optimization of AI applications.</li><li>Ensure data security, privacy, and compliance with industry best practices.</li><li>Provide post-deployment support and maintenance when required.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field (preferred).</li><li>Proven experience in AI/ML development and deployment.</li><li>Strong proficiency in Python and AI development frameworks.</li><li>Experience with Generative AI platforms and APIs.</li><li>Knowledge of NLP, Machine Learning, and Deep Learning techniques.</li><li>Experience integrating AI solutions through APIs and cloud services.</li><li>Strong problem-solving and communication skills.</li><li>Ability to work independently and meet project deadlines.</li></ul>Technical Skills<ul><li>Python</li><li>TensorFlow, PyTorch, Scikit-learn</li><li>OpenAI, Gemini, Claude, or similar AI platforms</li><li>LangChain, LlamaIndex</li><li>RAG Architecture and AI Agents</li><li>SQL and NoSQL Databases</li><li>Vector Databases (Pinecone, ChromaDB, Weaviate)</li><li>REST APIs</li><li>Docker and Cloud Platforms (AWS, Azure, GCP)</li><li>Git Version Control</li></ul>Preferred Experience<ul><li>AI Chatbot Development</li><li>Intelligent Document Processing (IDP)</li><li>OCR and Computer Vision Applications</li><li>Business Process Automation</li><li>Predictive Analytics and Data Science Projects</li><li>MLOps and Model Deployment</li></ul>DeliverablesThe selected freelancer may be required to:<ul><li>Develop custom AI applications.</li><li>Create AI-powered customer support solutions.</li><li>Automate business processes using AI.</li><li>Build intelligent document management systems.</li><li>Integrate AI models with existing software platforms.</li><li>Provide training and knowledge transfer to internal teams.</li></ul>Contract Terms<ul><li>Project-based or hourly engagement.</li><li>Flexible working hours.</li><li>Remote work arrangement.</li><li>Payment based on agreed milestones and deliverables.</li><li>Opportunity for long-term collaboration on future AI projects.</li></ul>How to ApplyInterested candidates should submit:<ul><li>Updated CV/Resume</li><li>Portfolio of AI projects</li><li>GitHub or relevant technical profiles</li></ul>Only candidates with demonstrated experience in AI development and successful project delivery will be considered.Application Question(s):<ul><li>What is your expected Salary?</li><li>Can you join immediately after selection?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Freelance AI Engineer

EDUHUB MANAGEMENT CONSULTANCIES CO.

AI &amp; Automation Trainer Location: Dubai, UAE Employment Type: Part-Time (Online) Organization: International Institute of Digital Marketing Studies (IIDMS)About the RoleIIDMS is seeking an experienced and industry-focused AI &amp; Automation Trainer to deliver our flagship Certified Applied Generative AI &amp; Automation Professional (CAGAP) program.The ideal candidate should possess hands-on expertise in Generative AI tools, Prompt Engineering, AI-powered productivity solutions, and business automation applications. The trainer will be responsible for delivering practical, business-oriented training to working professionals and corporate learners.Key Responsibilities<ul><li>Deliver instructor-led training for the Certified Applied Generative AI &amp; Automation Professional (CAGAP) program.</li><li>Conduct practical workshops, demonstrations, and hands-on exercises using leading AI platforms.</li><li>Guide learners in applying AI tools to real-world business scenarios.</li><li>Support participants in developing AI-powered workflows and automation projects.</li><li>Develop and update training materials, assessments, case studies, and learning resources.</li><li>Evaluate learner progress and provide mentoring throughout the program.</li></ul>Required ExpertiseCandidates should have strong practical experience in:<ul><li>Generative AI Fundamentals</li><li>ChatGPT, Google Gemini, Claude AI, Microsoft Copilot, Perplexity AI, and NotebookLM</li><li>Prompt Engineering and Prompt Optimization</li><li>AI-Powered Content Creation</li><li>AI for Business Communication and Productivity</li><li>Research and Report Generation using AI</li><li>Workflow Automation Concepts</li><li>No-Code and Low-Code Automation Tools</li><li>AI Applications in Marketing, Sales, Customer Experience, and Business Operations</li><li>AI Governance, Ethics, Security, and Responsible AI Practices</li></ul>Preferred Qualifications<ul><li>Bachelor's or Master's degree in Business, Information Technology, Computer Science, AI, or a related field.</li><li>Minimum 3 years of AI training, consulting, or implementation experience.</li><li>Experience delivering corporate training programs and professional certification courses.</li><li>Strong presentation, facilitation, and communication skills.</li><li>Relevant certifications in Artificial Intelligence, Generative AI, Automation, or Digital Transformation.</li></ul>What We Are Looking For<ul><li>Ability to simplify complex AI concepts for business professionals.</li><li>Strong understanding of practical business applications of AI.</li><li>Experience conducting interactive workshops and project-based learning.</li><li>Passion for emerging technologies and continuous learning.</li></ul>Apply NowInterested candidates may submit their updated CV and relevant certifications to:Email: hr@eduhubinstitute.comSubject: Application &ndash; AI &amp; Automation TrainerOnly shortlisted candidates will be contacted.Work Location: In person

AI & Automation Trainer

Printerpix

<div><div>Job Title: Graphic &amp; AI Design Specialist</div><div>
Location: Dubai 
Employment Type: Full-Time 
Experience Level: Lead</div><div> 

About the Company: 
We are at the cutting edge of applying advanced AI to transform marketing, moving beyond conventional analytics to building truly intelligent, autonomous systems. Our focus is on leveraging Agentic AI architectures, LLM API integrations, and innovative Model Context Protocol (MCP) to redefine how brands engage with their audience. If you thrive on building sophisticated, impactful AI workflows from the ground up and are passionate about the future of marketing, you&rsquo;ll find a home with us. We seek builders who are precise in their technical understanding and execution, recognizing that vague answers are red flags when developing groundbreaking AI solutions. 
</div><div>
Role Summary: 
As our Lead Graphic &amp; AI Design Specialist, you will architect the future of our visual communication. This is a high-impact role at the intersection of elite digital artistry and cutting-edge workflow automation. Based full-time in Dubai, you will define and deliver scalable, high-conversion design systems powered by generative AI, driving our global brand presence across international markets. 
</div><div>
What You'll Build:</div><div>
You will lead the creation of a scalable design architecture, crafting modular, localized, and reusable creative assets. This includes:</div><ul><li>
Designing high-conversion web banners, innovative product visuals, engaging promotional graphics, and dynamic campaign assets for multi-market performance marketing.</li><li>
Implementing generative and agentic AI workflows into the design process to automate asset variation, scaling up output and creative bandwidth for rapid global turnaround times.</li><li>
Building and managing our evolving design system in Figma, establishing clean components, autolayout templates, and standardized developer handoff procedures.</li><li>
Collaborating with AI engineers to test and integrate bespoke design plugins, custom automation scripts, and asset generation pipelines.</li></ul><div></div><div> 
Your First 90 Days:</div><div>
We believe in rapid impact, asset ownership, and clear expectations. Here's what your initial journey will look like:</div><ul><li>
First 30 Days: You'll immerse yourself in our brand guidelines, existing design libraries, and current AI creative stack. You will set up your workspace, shadow the marketing workflow, and identify immediate opportunities to apply AI for rapid variant generation on a core set of promotional web banners.</li><li>
First 60 Days: You will build out the foundational components of our new scalable design system in Figma, incorporating early AI-driven automation elements to streamline cross-continental asset resizing and localization.</li><li>
First 90 Days: You will lead the creative execution and deployment of a major seasonal marketing campaign, utilizing your AI-augmented design workflows. You will present data showing measurable improvements in turnaround speeds, output volume, and creative testing variations.</li></ul><div></div><div> 
What We're Looking For:</div><ul><li>
Lead Digital Design Experience: 5+ years of hands-on experience in a digital design or creative lead role, with a strong portfolio showcasing strategic performance marketing creatives and high-conversion assets.</li><li>
Project Management Expertise: Proven ability to orchestrate complex design initiatives from concept to global deployment, managing asset allocation, cross-channel deadlines, and version control.</li><li>
Figma Mastery: Expert-level proficiency in Figma. You must be highly skilled in building complex design components, libraries, and automated design systems for multi-market localization.</li><li>
Adobe Creative Suite Proficiency: Advanced, expert-level skills in Photoshop, Illustrator, and After Effects (for motion graphics and dynamic ad variations).</li><li>
Generative AI Prowess: Deep practical knowledge of utilizing tools like Midjourney, DALL-E, Stable Diffusion, RunwayML, or similar platforms for advanced prompt engineering, concept generation, and workflow optimization.</li><li>
Technical &amp; Cross-functional Collaboration: Strong experience collaborating directly with developers, marketing analysts, and AI engineers to bridge the gap between design vision and technical implementation.</li><li>
Systems Thinking: Ability to move past one-off designs and build scalable, modular templates that support high-velocity, multi-currency digital advertising campaigns.</li></ul><div></div><div> 
Nice-to-Have:</div><ul><li>
Experience with 3D design tools or advanced video editing software.</li><li>
Understanding of UX/UI conversion principles, specifically for high-volume e-commerce landing pages.</li><li>
Familiarity with Arabic typography and Middle Eastern cultural nuances in commercial design.</li><li>
Prior experience in a fast-paced environment adapting quickly to evolving digital tech stacks.</li></ul><div></div><div> 
Package &amp; Incentives: 
Performance Bonus: Up to a 50% bonus directly tied to successful AI usage metrics, technical automation efficiencies, and the successful architecture of high-throughput imagery and content pipelines. 
</div><div>
Why This Role:</div><div>
This is an unparalleled opportunity to define how generative AI transforms enterprise-scale creative workflows. You won't just execute static briefs; you will own the entire visual identity pipeline, reporting directly to marketing leadership with full autonomy to experiment with bleeding-edge visual tech and automation tools. 
</div><div>
You will work in a highly technical, growth-focused environment where your creative strategy directly moves the needle on global user acquisition. As we expand our internal engineering capabilities, this position offers a direct path to scaling, mentoring, and leading a dedicated, high-performance AI-driven creative function from the ground up in our Dubai hub.</div></div>

Graphic & AI Design Specialist

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 We&rsquo;re looking for a hands-on Senior Data Scientist / ML Engineer to help build and deploy scalable machine learning solutions across financial products.
 
 
 This is a practical, business-focused role for someone who enjoys taking models from experimentation through to production and working closely with engineering, product, and business teams to drive measurable impact.
 
 
 
 
 
 What You&rsquo;ll Do:
 
 <ul>
 <li>
 Build and deploy machine learning models for real-world business problems
 </li>
 <li>
 Develop end-to-end ML pipelines including data preparation, training, validation, deployment, and monitoring
 </li>
 <li>
 Work with large and complex datasets to generate actionable insights
 </li>
 <li>
 Partner with engineering teams to productionize models and APIs
 </li>
 <li>
 Collaborate with stakeholders across product, risk, operations, and analytics
 </li>
 <li>
 Improve model performance, reliability, and scalability
 </li>
 <li>
 Contribute to MLOps, automation, and deployment best practices
 </li>
 <li>
 Support AI and advanced analytics initiatives across the business
 </li>
 </ul>
 
 
 
 
 Required Skills &amp; Experience:
 
 <ul>
 <li>
 6+ years of experience in Data Science, Machine Learning, or ML Engineering
 </li>
 <li>
 Strong Python and SQL skills
 </li>
 <li>
 Experience building and deploying ML models into production environments
 </li>
 <li>
 Strong understanding of machine learning fundamentals and model evaluation
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Experience with tools/frameworks such as:
 </li>
 <li>
 scikit-learn
 </li>
 <li>
 PyTorch or TensorFlow
 </li>
 <li>
 Spark or Databricks
 </li>
 <li>
 Docker / CI-CD pipelines
 </li>
 <li>
 Experience building APIs or production services
 </li>
 <li>
 Ability to work with both technical and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 Preferred:
 
 <ul>
 <li>
 Banking, fintech, or financial services experience
 </li>
 <li>
 Experience with customer analytics, fraud, or decisioning models
 </li>
 <li>
 Familiarity with MLOps and model monitoring
 </li>
 <li>
 Exposure to NLP, LLMs, or Generative AI use cases
 </li>
 <li>
 Experience with Airflow, MLflow, Kubernetes, or Hadoop ecosystems
 </li>
 </ul>
 
 
 
 
 We value people who:
 
 <ul>
 <li>
 Take ownership and solve problems end-to-end
 </li>
 <li>
 Can balance experimentation with production delivery
 </li>
 <li>
 Think commercially and focus on business outcomes
 </li>
 <li>
 Communicate clearly and work well across teams
 </li>
 <li>
 Enjoy building scalable, reliable systems
 </li>
 </ul>
 
 Tech Environment
 
 
 Python &bull; SQL &bull; Databricks &bull; Spark &bull; Docker &bull; APIs &bull; Cloud Platforms &bull; MLflow &bull; CI/CD &bull; Power BI
 
 
 
</div>

Data Scientist

Avery Dennison

<div>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and execute end to end category strategies for raw materials, indirect services, and subcontractors. Move beyond 'three quotes' to analyze Total Cost of Ownership and long-term value.
 </li>
 <li>
 Identify inefficiencies in current workflows. Design and implement leaner, faster P2P cycle to drive organizational agility.
 </li>
 <li>
 Build and maintain dynamic dashboards using advanced Google Sheets (Power Query/Pivot) or Power BI. Pioneer the use of Generative AI for market intelligence, contract analysis, and automated reporting.
 </li>
 <li>
 Manage the entire procurement lifecycle with minimal hand holding. Take full accountability for results, from initial stakeholder requirements to final vendor performance.
 </li>
 <li>
 Navigate the volatile UAE market, managing supplier rate-change requests and global logistics disruptions to protect Contribution Margins (CM) and ensure plant continuity.
 </li>
 <li>
 Act as a trusted advisor to Finance, Operations, and Senior Leadership. Communicate complex procurement data as clear, actionable business insights.
 </li>
 <li>
 Oversee contracts, critical spare parts sourcing, and outsourced processing to ensure zero business disruption.
 </li>
 <li>
 Collaborating with Engineering and Operations to perform "Function vs. Cost" analysis on high-spend items.
 </li>
 <li>
 Implementing "Should-Cost" modeling to challenge supplier pricing during complex negotiations.
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile &amp; Requirements
 
 
 <ul>
 <li>
 Experience: 5+ years in Procurement, with at least 3 years in a Senior or Strategic capacity (UAE market experience is mandatory).
 </li>
 <li>
 Technical Mastery: Expert-level Excel skills (Power Query, Power Pivot, Data Modeling). Deep familiarity with ERP systems.
 </li>
 <li>
 Digital Mindset: Strong interest or experience in AI transformation, predictive analytics, and process automation.
 </li>
 <li>
 Education: Bachelor&rsquo;s degree in Supply Chain, Business, or Engineering. Professional certification (CIPS Level 4/5 or CPSM) is highly preferred.
 </li>
 <li>
 Soft Skills: High emotional intelligence, exceptional negotiation skills, and the ability to influence C-suite stakeholders.
 </li>
 <li>
 Mindset: Someone who creates systems rather than just following existing manuals.
 </li>
 </ul>
 
 
</div>

Senior Procurement Specialist

Neural Ledger LLC-FZ

Neural Ledger LLC-FZ is a UAE-based AI finance technology company building Kaizen by Neural Ledger, an AI-assisted accounting operations and finance automation platform for accounting firms and enterprise finance teams.Kaizen is offered in three formats:&middot; Kaizen SaaS for Accounting Firms: a multi-tenant, subscription-based platform for accounting firms to manage client bookkeeping, document ingestion, review, reconciliation, reporting, and audit trails.&middot; Custom Kaizen for Accounting Firms: a tailored implementation for accounting firms with specific workflows, document types, reporting formats, integrations, controls, or deployment requirements.&middot; Enterprise Kaizen: a custom solution for larger enterprise customers requiring bespoke workflows, ERP integrations, analytics, automations, security controls, and cloud or on-premise deployment support.We are expanding across the UAE and MENA region and need a Forward Deployed Engineer who can work directly with customers, domain experts, the CTO, and the core engineering team to convert client requirements into deployed, working solutions.Role SummaryAs a Forward Deployed Engineer, you will be the technical bridge between Kaizen, our customers, and our internal product and engineering teams. You will support Kaizen SaaS deployments for accounting firms, develop Custom Kaizen solutions for accounting firms, and help deliver Enterprise Kaizen implementations for larger customers.You will be paired with a domain expert who will help translate accounting, tax, finance, and client workflow requirements into clear functional expectations. Your role will be to convert those requirements into configured, integrated, tested, and deployable solutions.You will work closely with the CTO on cloud, client-cloud, or on-premise deployments, including environment setup, integration design, security considerations, troubleshooting, and release coordination. Full-stack ability is preferred, because the role may require backend debugging, frontend adjustments, database queries, deployment fixes, and client-facing training in the same implementation cycle.Key ResponsibilitiesCustomer Deployment &amp; Implementation&middot; Lead or support end-to-end technical onboarding for accounting firms and enterprise customers, including environment provisioning, initial user setup, configuration, and deployment validation.&middot; Deploy Kaizen SaaS for accounting firms, including tenant setup, user roles, document ingestion workflows, reconciliation flows, reporting workflows, audit trail settings, and customer-specific configuration.&middot; Develop and implement Custom Kaizen solutions for accounting firms based on specific requirements, including custom reports, document workflows, review logic, client onboarding flows, and export requirements.&middot; Support Enterprise Kaizen implementations for larger customers, including bespoke workflow development, ERP integration support, management reporting, approval flows, process automation, and deployment readiness.&middot; Create and maintain customer-specific runbooks, configuration notes, deployment documentation, and handover packs.Requirements Translation with Domain Expert&middot; Work closely with the domain expert to understand accounting, tax, compliance, reporting, and operational requirements from customer discussions.&middot; Translate domain requirements into technical solution requirements, user stories, configuration tasks, integration needs, and implementation plans.&middot; Identify gaps between standard Kaizen capabilities and customer-specific needs, then propose practical solution options with the domain expert and CTO.&middot; Document assumptions, dependencies, exclusions, and client responsibilities clearly during implementations.Full-Stack Development &amp; Customization&middot; Read, debug, and extend backend services where required, especially APIs, document workflows, transaction processing, report generation, and integration logic.&middot; Troubleshoot and adjust frontend workflows, forms, dashboards, authentication flows, API wiring, and client-facing screens where required.&middot; Write SQL queries, custom export scripts, validation checks, and implementation utilities for customer-specific reporting, audit, migration, or troubleshooting needs.&middot; Support integration with accounting systems, ERPs, document storage, email services, AI extraction tools, and reporting layers.&middot; Reproduce implementation issues locally or in staging, document them clearly, and coordinate fixes with the CTO and engineering team.Deployment, Cloud &amp; On-Premise Support&middot; Work with the CTO to deploy Kaizen on cloud, customer cloud, or on-premise environments depending on the customer requirement.&middot; Support Docker-based deployments, database setup, object storage configuration, email delivery configuration, background workers, migrations, environment variables, and deployment monitoring.&middot; Assist with AWS or equivalent cloud deployment tasks, including compute, database, storage, networking, backups, security groups, and access control configuration.&middot; Support on-premise or client-cloud deployments with attention to security, data isolation, access control, backup, auditability, and customer IT requirements.&middot; Run migrations and deployment updates safely, validate schema integrity, and support release coordination for customer environments.Support, Troubleshooting &amp; Customer Success&middot; Act as the escalation point for complex customer issues, including failed document extraction, VAT treatment issues, reconciliation mismatches, report variances, access control issues, and deployment failures.&middot; Investigate data, workflow, and configuration issues using logs, database queries, customer inputs, and application behavior.&middot; Capture structured customer feedback and translate it into product requirements, GitHub issues, implementation notes, or enhancement requests.&middot; Identify recurring customer issues that indicate product gaps, UI friction, workflow improvements, or training needs.Training &amp; Handover&middot; After deployment, provide customer training together with the domain expert, ensuring users understand the solution, workflow, controls, and operational responsibilities.&middot; Train accounting firm staff, finance teams, administrators, and super-users on document ingestion, review, reconciliation, approvals, reporting, exports, exception handling, and audit trail usage.&middot; Prepare simple training materials, workflow guides, FAQs, and post-go-live support notes for each customer where required.&middot; Ensure smooth transition from implementation to ongoing support by documenting known issues, pending items, user responsibilities, and escalation paths.Required Skills &amp; ExperienceTechnical Competencies&middot; Python and FastAPI: ability to read, debug, and extend REST API code in a production SaaS or enterprise application.&middot; Frontend development: React, TypeScript, or similar modern frontend experience, with ability to troubleshoot UI flows, API clients, forms, and dashboard behavior.&middot; PostgreSQL or equivalent relational database experience, with strong SQL skills for querying, reporting, debugging, validation, and migration support.&middot; Docker and deployment experience, including multi-service stacks, environment variables, logs, networks, volumes, and worker processes.&middot; Cloud deployment exposure, preferably AWS, Azure, or similar, covering compute, managed databases, object storage, networking, backups, and access control.&middot; Experience supporting production deployments, staging releases, customer-specific environments, and implementation troubleshooting.&middot; Git/GitHub discipline, including branching, pull requests, issue documentation, release coordination, and collaboration with engineering teams.Accounting, Finance &amp; Domain Orientation&middot; Strong willingness to understand accounting firm workflows, SME accounting operations, enterprise finance processes, and customer-specific finance requirements.&middot; Familiarity with UAE VAT, basic corporate tax concepts, double-entry bookkeeping, journals, ledgers, trial balances, reconciliations, and financial statements is preferred.&middot; Ability to work with a domain expert and convert accounting or finance requirements into functional and technical implementation tasks.&middot; Experience with accounting firms, audit practices, ERP systems, finance teams, or SME accounting workflows is a strong advantage.Customer &amp; Communication Skills&middot; Strong written and verbal communication, with the ability to explain technical concepts to non-technical accountants and accounting concepts to engineers.&middot; Comfortable engaging with partners, CFOs, finance managers, accounting teams, customer IT teams, and internal engineering stakeholders.&middot; Able to run implementation workshops, training sessions, discovery discussions, issue reviews, and deployment handovers.&middot; Self-starter who can work in ambiguous, fast-moving environments with limited supervision.&middot; Willingness to travel across the UAE and MENA region for client deployments, workshops, and post-go-live support as the company scales.Preferred / Nice-to-Have&middot; Prior experience as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, Full-Stack Engineer, Technical Consultant, or Customer Engineer.&middot; Experience with ERP, accounting, or finance platforms such as Odoo, ERPNext, Zoho Books, QuickBooks, Xero, NetSuite, SAP, or Microsoft Dynamics.&middot; Experience with AI-assisted document extraction, OCR, LLM workflows, RAG, prompt-based automation, or finance automation products.&middot; Exposure to Azure OpenAI, OpenAI APIs, Azure Document Intelligence, AWS AI services, or similar AI infrastructure.&middot; Experience with automated testing tools such as Playwright, pytest, Vitest, or similar frameworks.&middot; Arabic language skills or experience with RTL/localization engineering.&middot; Basic understanding of regional tax regimes beyond the UAE, such as Saudi ZATCA or other GCC VAT regimes.&middot; Experience with nginx, secure static bundle deployment, background job queues, retry logic, and idempotent task design.What Success Looks Like: 90-Day Plan&middot; Days 1-30: Complete internal onboarding on Kaizen architecture, product formats, deployment model, customer workflows, and core accounting use cases. Deploy a local stack independently and shadow customer onboarding or discovery calls with the domain expert.&middot; Days 31-60: Lead or co-lead an accounting firm deployment, resolve implementation issues end to end, contribute to a deployment playbook, and convert at least one customer requirement into a working configuration or product enhancement.&middot; Days 61-90: Own the technical relationship for selected Kaizen customers, support at least one Custom Kaizen or Enterprise Kaizen workstream, deliver customer training with the domain expert, and document product improvement opportunities based on live customer patterns.Location &amp; Work ModelPrimary base: UAE, preferably Dubai or Abu Dhabi. Remote-first with regular travel to customer sites across the UAE and, over time, the wider MENA region.Why Join Neural Ledger&middot; Work directly on the front lines of AI-powered accounting and finance transformation in the GCC.&middot; Build solutions that are deployed with real customers, not only internal prototypes.&middot; Gain exposure to SaaS, custom implementation, enterprise deployment, AI automation, finance workflows, and customer-facing product development.&middot; Work closely with the founding team, domain experts, CTO, and customers in a high-impact role where implementation feedback directly shapes the product roadmap.Pay: AED2,000.00 - AED3,500.00 per monthWork Location: Hybrid remote in Dubai

Forward Deployed Engineer

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