senior lead developer

Smart Tax Consultancy

JMM Real Estate Broker L.L.C. is looking for an experienced, results-driven, and highly motivated Senior Real Estate Agent to join our growing team in Dubai. This role is ideal for a professional with a proven track record in Dubai real estate who can also provide leadership, mentor junior agents, and contribute to the growth of the sales team.Requirements<ul><li>Minimum 2&ndash;3 years of experience in Dubai Real Estate is mandatory</li><li>Must be currently residing in Dubai</li><li>Must have a valid UAE visa</li><li>Proven sales record in off-plan and/or secondary market transactions</li><li>Strong communication, negotiation, and closing skills</li><li>Excellent leadership and team management skills, with the ability to mentor, motivate, and guide junior agents</li><li>Experience managing client relationships and working collaboratively within a sales team</li><li>Multilingual candidates are preferred</li><li>Confident in cold calling, client acquisition, networking, and relationship management</li><li>Experience creating social media video content and generating leads through digital platforms</li><li>Excellent knowledge of Dubai real estate market, developers, communities, and current market trends</li><li>Self-motivated, target-driven, and professional with the ability to work independently</li></ul>Job Responsibilities<ul><li>Generate high-quality leads through networking, referrals, cold calling, digital marketing, and social media</li><li>Build and maintain long-term relationships with buyers, sellers, investors, and landlords</li><li>Conduct property consultations, viewings, negotiations, and successful deal closures</li><li>Market and sell off-plan and secondary market properties</li><li>Lead by example by supporting, mentoring, and motivating junior agents while fostering a positive and high-performing team environment</li><li>Assist management in developing team performance and sharing market knowledge and best practices</li><li>Create engaging property videos and marketing content to increase brand visibility and lead generation</li><li>Follow up with clients professionally throughout the sales process and after-sales service</li><li>Stay updated on project launches, developer offers, and Dubai real estate market trends</li><li>Achieve and exceed monthly and quarterly sales targets while maintaining excellent customer service</li></ul>What We Offer<ul><li>Attractive commission structure (to be discussed during the interview)</li><li>Laptop and SIM allowance provided</li><li>Listings on Bayut and Dubizzle provided by the company</li><li>Dedicated admin support for property listings and documentation</li><li>Marketing support and lead generation campaigns</li><li>Access to exclusive off-plan projects from leading developers</li><li>Professional, growth-focused work environment with career advancement opportunities</li></ul>Working HoursMonday to Saturday10:00 AM to 6:00 PMHow to ApplySend us your CV and become a valued member of JMM Real Estate Broker L.L.C.WhatsApp: +971 58 558 5561Work Location: In person (Business Bay, Dubai)Pay: AED3,000.00 - AED5,000.00 per monthWork Location: In person

Senior Real Estate Consultant - Salary + Commission

Richmond Properties

<div>
 
 
 The Role
 
 
 
 We&rsquo;re looking for a talented Full Stack Developer to take ownership of our digital ecosystem&mdash;building, improving, and scaling internal tools, websites, and integrations that directly impact revenue and agent performance.
 
 
 This is a high-impact role where you&rsquo;ll work closely with leadership, marketing, and sales teams to deliver smart, scalable tech solutions.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain company websites, landing pages, and web applications
 </li>
 <li>
 Build CRM integrations, automation workflows, and internal dashboards
 </li>
 <li>
 Optimize performance, UX/UI, and conversion across digital platforms
 </li>
 <li>
 Manage APIs and third-party integrations (property portals, CRM, marketing tools)
 </li>
 <li>
 Collaborate with marketing on lead generation funnels and tracking
 </li>
 <li>
 Troubleshoot issues and ensure system reliability and security
 </li>
 <li>
 Continuously improve tech stack to support business growth
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Proven experience as a Full Stack Developer (2&ndash;5+ years preferred)
 </li>
 <li>
 Strong skills in front-end (e.g. React, HTML, CSS, JavaScript)
 </li>
 <li>
 Strong back-end experience (e.g. Node.js, Python, PHP or similar)
 </li>
 <li>
 Experience with databases (SQL/NoSQL)
 </li>
 <li>
 Familiarity with CRM systems and API integrations
 </li>
 <li>
 Understanding of hosting, deployment, and cloud services
 </li>
 <li>
 Strong problem-solving skills and ability to work in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience in real estate or lead-generation businesses
 </li>
 <li>
 Knowledge of SEO, tracking (Google Tag Manager, GA4), and performance marketing
 </li>
 <li>
 Experience building automation workflows (Zapier, Make, etc.)
 </li>
 </ul>
 
 
</div>

Full Stack Engineer

Five Nodes AI

We are seeking a skilled ERP Engineer capable of building and developing a complete ERP system from the ground up, and owning the entire process end-to-end: analysis, design, development, testing, and deployment. You will lead a team of junior developers and take full ownership of the system's quality and delivery.Experience with Odoo is a strong advantage. Experience with other global ERP platforms (SAP, Microsoft Dynamics, NetSuite, ERPNext, etc.) is welcome. The ability to develop companion mobile applications is a valuable plus.Key Responsibilities<ul><li>Lead the full ERP development lifecycle, from analysis to launch and operations.</li><li>Design system architecture, database schemas, and business modules.</li><li>Develop core modules: Accounting, Inventory, Procurement, Sales, HR, and others as needed.</li><li>Lead and mentor a team of junior developers, conduct code reviews, and raise their technical level.</li><li>Establish quality standards, manage Git repositories, and enforce development discipline.</li><li>Integrate the system with external services and platforms via APIs.</li><li>Document the system and ensure ongoing performance, maintenance, and improvement.</li></ul>Core Requirements<ul><li>Proven hands-on experience developing ERP systems (Odoo, SAP, or a comparable global platform).</li><li>Strong command of a core ERP development language (e.g. Python for Odoo, or relevant to the platform).</li><li>Solid database experience (PostgreSQL / MySQL / SQL).</li><li>Deep understanding of business processes (accounting, inventory, sales, procurement).</li><li>Proven ability to lead a technical team and own a full development cycle.</li><li>Proficiency with version control (Git) and development methodologies.</li></ul>Preferred (Plus)<ul><li>Mobile app development experience (React Native / Flutter / iOS / Android).</li><li>Systems integration and API development experience.</li><li>Prior experience in a holding company or multi-business environment.</li><li>Fluency in Arabic and English.</li></ul>Application Question(s):<ul><li>Which ERP systems have you developed on? (Odoo / SAP / Dynamics / NetSuite / other)</li><li>Have you built or led an ERP project end-to-end?</li><li>Have you led or mentored a developer team before? &mdash; Yes/No</li></ul>Experience:<ul><li>ERP development: 4 years (Required)</li></ul>Pay: AED5,000.00 - AED9,000.00 per monthApplication Question(s):<ul><li>Which ERP systems have you developed on? (Odoo / SAP / Dynamics / NetSuite / other)</li><li>Have you built or led an ERP project end-to-end?</li><li>Have you led or mentored a developer team before? - Yes/No</li></ul>Experience:<ul><li>ERP Development: 4 years (Required)</li></ul>Work Location: Hybrid remote in Dubai (Dubai)

Senior ERP Engineer / ERP Technical Lead

N7 (PVT) LTD

Experience Required: 1-3 Years | Proven Off-Plan Track RecordKEY RESPONSIBILITIESPresent off-plan opportunities from premier developersExecute end-to-end sales cyclesAchieve minimum monthly transaction targetsMonitor developer launches and payment plansMaintain relationships with developer sales teamsWHAT N7 PROVIDESThis role is commission only.Commission Structure:Aggressive commission structure for high achieversUncapped monthly earning potentialAnnual excellence awardsMilestone achievement rewardsAGGRESSIVE LEAD GENERATION ECOSYSTEMPre-qualified investor leads (100+ leads/Agent)Exclusive database of 5,000+ active buyersPortal integration (Bayut, Property Finder, Dubizzle)Aggressivemonthly digital advertising budgetProfessional photography and videographyAdvanced CRM (Bitrix24)Global Sales Events and International Exposure8-12 international events per yearIDEAL CANDIDATE PROFILE1-3 years Dubai off-plan experienceProven transaction history (minimum 15+ deals)English fluency (written and verbal)Preferred Qualifications: Bachelor's degree (Business, Marketing, Real Estate)Valid UAE driving licensePreferred Nationalities: UK, AUS, USA, Russia, China, India, Philippines, ItalyJob Type: Full-timePay: AED1,000.00 - AED40,000.00 per monthWork Location: In person

Off Plan Specialist Real Estate

Boundless

<div>
 
 
 Company Overview
 
 
 
 Our client, a global and rapidly growing financial services group, operates across international markets through a technology-driven, regulated business model. The organisation is investing significantly in Artificial Intelligence, advanced analytics, intelligent automation, and next-generation software engineering capabilities to enhance its platforms, products, internal operations, and customer experience.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineering Lead to establish and drive the organisation&rsquo;s LLM Engineering capability and accelerate AI-powered software development across multiple technology teams. This role will define the standards, architecture, tooling, governance, and development practices required to build secure, scalable, production-ready AI solutions. You will guide engineering teams in adopting modern AI-assisted development workflows, leveraging frontier LLMs, agentic architectures, enterprise RAG systems, and intelligent automation platforms.
 
 
 Working closely with Engineering Managers, Solution Architects, Product Owners, and senior leadership, you will ensure that AI becomes an embedded part of the software development lifecycle. The role combines hands-on technical leadership, architecture oversight, team enablement, and enterprise-wide AI transformation.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 AI Engineering Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of enterprise-grade LLM applications, AI agents, intelligent automation solutions, and AI-native software products.
 </li>
 <li>
 Guide and mentor engineering teams on AI architecture, prompting strategy, agent design, model selection, code quality, and production deployment.
 </li>
 <li>
 Conduct AI solution design and technical architecture reviews before development begins.
 </li>
 <li>
 Establish engineering standards for secure, scalable, maintainable, and measurable AI implementations.
 </li>
 <li>
 Support teams in adopting AI-first development methodologies while maintaining strong software engineering quality, security, and delivery discipline.
 </li>
 </ul>
 
 
 AI-Assisted Software Engineering
 
 
 <ul>
 <li>
 Champion the use of AI coding and development environments including Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and emerging AI engineering tools.
 </li>
 <li>
 Define enterprise standards for AI-assisted software engineering, developer prompting, code generation, review workflows, and responsible use of AI development tools.
 </li>
 <li>
 Develop reusable prompt libraries, engineering playbooks, technical documentation, and best-practice frameworks.
 </li>
 <li>
 Introduce practical AI-assisted development workflows that improve engineering productivity, code quality, testing, documentation, and delivery speed.
 </li>
 <li>
 Establish methods to measure and improve developer productivity through AI-enabled engineering practices.
 </li>
 </ul>
 
 
 LLM Engineering &amp; Agentic Systems
 
 
 <ul>
 <li>
 Design and optimise production-grade LLM applications using leading models including Claude, OpenAI, Gemini, Mistral, Llama, DeepSeek, and other suitable providers.
 </li>
 <li>
 Build AI agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, and LlamaIndex.
 </li>
 <li>
 Design and implement enterprise RAG systems using vector databases, knowledge graphs, structured data sources, and internal documentation repositories.
 </li>
 <li>
 Develop scalable MCP servers, tool integrations, API connectors, and secure AI access layers for enterprise systems.
 </li>
 <li>
 Evaluate new LLMs, frameworks, AI platforms, and engineering tools, making recommendations for adoption based on technical fit, security, cost, performance, and business value.
 </li>
 </ul>
 
 
 AI Platform, Architecture &amp; Governance
 
 
 <ul>
 <li>
 Define enterprise AI architecture standards, reference architectures, reusable components, and internal AI platform capabilities.
 </li>
 <li>
 Design secure integrations between LLMs, internal systems, APIs, databases, workflows, and customer-facing applications.
 </li>
 <li>
 Establish guardrails, AI evaluation frameworks, observability standards, model monitoring, prompt testing, and responsible AI practices.
 </li>
 <li>
 Lead technical decision-making around AI infrastructure, deployment patterns, cloud architecture, model hosting, orchestration, and scalability.
 </li>
 <li>
 Support the development of AI governance frameworks covering data privacy, security, access controls, explainability, quality assurance, and risk management.
 </li>
 </ul>
 
 
 Capability Development &amp; Adoption
 
 
 <ul>
 <li>
 Develop an AI Engineering Maturity Model to assess and improve AI adoption across engineering teams.
 </li>
 <li>
 Deliver internal workshops, technical training sessions, and practical enablement programmes for developers, architects, and engineering leaders.
 </li>
 <li>
 Train teams on LLM engineering workflows, AI coding assistants, agentic architectures, RAG implementation, and AI observability practices.
 </li>
 <li>
 Create and maintain internal documentation, coding standards, architecture guidelines, and engineering playbooks.
 </li>
 <li>
 Stay current with emerging AI technologies and continuously identify opportunities to strengthen the organisation&rsquo;s AI engineering capability.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
 </li>
 <li>
 At least 7 years of software engineering experience, including strong exposure to software architecture, enterprise applications, APIs, cloud platforms, and modern software delivery practices.
 </li>
 <li>
 At least 3 years of practical experience designing and deploying production LLM applications, AI agents, RAG systems, or intelligent automation solutions.
 </li>
 <li>
 Demonstrated experience leading AI engineering initiatives across multiple engineering teams or business units.
 </li>
 <li>
 Strong hands-on knowledge of LLM application development, prompt engineering, RAG, agentic architectures, MCP, model evaluation, orchestration frameworks, and AI observability.
 </li>
 <li>
 Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, or similar technologies.
 </li>
 <li>
 Experience working with vector databases and knowledge systems such as Pinecone, Weaviate, pgvector, Qdrant, Chroma, or similar tools.
 </li>
 <li>
 Strong programming ability in Python and ideally TypeScript, with experience developing APIs using FastAPI or similar frameworks.
 </li>
 <li>
 Strong understanding of REST APIs, Docker, Kubernetes, Git, CI/CD, cloud deployment, and enterprise software integration.
 </li>
 <li>
 Experience with AWS, Microsoft Azure, Google Cloud Platform, or multi-cloud environments.
 </li>
 <li>
 Familiarity with AI observability and evaluation tools such as LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry, or similar platforms.
 </li>
 <li>
 Proven ability to mentor engineers, influence technical direction, establish standards, and communicate complex AI concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Building or leading AI Engineering Centres of Excellence.
 </li>
 <li>
 Establishing enterprise AI governance, responsible AI, and AI risk-management frameworks.
 </li>
 <li>
 Driving AI transformation programmes across software engineering organisations.
 </li>
 <li>
 Defining AI coding standards, AI-SDLC frameworks, and AI-assisted development methodologies.
 </li>
 <li>
 Building enterprise LLM platforms, internal AI tools, reusable AI components, or shared AI services.
 </li>
 <li>
 Implementing enterprise RAG, multi-agent architectures, MCP servers, and AI workflow automation.
 </li>
 <li>
 Measuring productivity, quality, adoption, and delivery improvements resulting from AI-enabled software development.
 </li>
 <li>
 Experience within financial services, fintech, trading, payments, regulated technology environments, or large-scale enterprise platforms.
 </li>
 </ul>
 
 
 
 
 
 Key Technology Areas
 
 
 <ul>
 <li>
 Frontier LLMs: Claude, OpenAI GPT models, Gemini, Mistral, Llama, DeepSeek
 </li>
 <li>
 AI Development Tools: Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, OpenAI Codex, Continue.dev
 </li>
 <li>
 Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack
 </li>
 <li>
 Automation: n8n, Make, Zapier, Apache Airflow
 </li>
 <li>
 Knowledge Systems: Pinecone, Weaviate, pgvector, Qdrant, Chroma, LlamaIndex
 </li>
 <li>
 Engineering: Python, TypeScript, FastAPI, REST APIs, Docker, Kubernetes, Git, CI/CD
 </li>
 <li>
 Cloud Platforms: AWS, Azure, Google Cloud Platform
 </li>
 <li>
 AI Observability: LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry
 </li>
 </ul>
</div>

AI Engineering Lead – LLM Engineering, AI Development & Intelligent Automation

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
<ul><li>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</li><li>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</li><li>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</li><li>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</li><li>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</li><li>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</li><li>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</li><li>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</li><li>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</li><li>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</li><li>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</li><li>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</li><li>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Senior Forward Deployed Engineer If&hellip;
<ul><li>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</li><li>You have a degree in Computer Science or a related field
</li><li>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</li><li>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</li><li>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</li><li>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</li><li>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</li><li>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</li><li>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>Ability to travel to customer sites as needed to ensure client success
</li><li>Business level proficiency in Arabic and English
</li><li>Computer Science (CS) degree or related.
</li></ul>Nice-to-Haves
<ul><li>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</li><li>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</li><li>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</li><li>Track record of influencing enterprise software product roadmaps through field engineering insight
</li><li>Open-source contributions, published technical writing, or conference presentations
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Forward Deployed Engineer, Arabic Speaking

RoboHub.ae

<div>
 <li>
 Design and build SDKs from scratch for a range of IoT devices, spanning simple consumer hardware to complex multi-sensor devices
 
 </li>
 <li>
 Define SDK architecture, APIs, and developer interfaces that are clean, consistent, and adaptable across different device types and complexity levels
 
 </li>
 <li>
 Write well-structured, documented, and maintainable code across relevant languages (Python, Java, C++, JavaScript, or similar)
 
 </li>
 <li>
 Develop sample applications, code examples, and developer documentation to support SDK adoption and ease of integration
 
 </li>
 <li>
 Test and validate SDK performance, reliability, and compatibility across different devices, environments, and platforms
 
 </li>
 <li>
 Work closely with hardware and firmware teams to understand device capabilities, sensor specifications, communication protocols, and data structures &mdash; and translate that understanding into clean, functional SDK code
 
 </li>
 <li>
 Maintain and version SDK releases, managing updates and backwards compatibility as devices and product lines evolve
 
 
 
 
 </li>
 Requirements
 
 
 <li>
 Proven experience building SDKs or developer libraries from scratch across varied device types
 
 </li>
 <li>
 Strong proficiency in one or more of: Python, C++, Java, or JavaScript
 
 </li>
 <li>
 Solid understanding of IoT communication protocols such as MQTT, WebSocket, BLE, Serial, I2C, or REST
 
 </li>
 <li>
 Experience reading and interpreting sensor datasheets and hardware documentation to inform SDK design
 
 </li>
 <li>
 Experience working across a range of hardware complexity levels, from simple single-function devices to multi-sensor systems
 
 </li>
 <li>
 Ability to write clear, thorough developer documentation and practical code samples
 
 </li>
 <li>
 Strong problem-solving skills with a low-level understanding of how hardware and software communicate
 
 </li>
 <li>
 Good communication skills in English
 
 
 
 
 </li>
</div>

SDK Developer

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