project engineer

sales engineer

senior architect

site engineer

senior site architect

ai developer

BlackStone eIT

<div>BlackStone eIT is seeking a talented and pragmatic AI Engineer (Applied) to join our dynamic team. In this role, you will focus on applying artificial intelligence techniques to solve real-world problems and deliver impactful solutions that drive business value. You will collaborate closely with product teams, data scientists, and software engineers to deploy AI models into production environments and continuously improve their performance.
The ideal candidate has hands-on experience with end-to-end AI system development and a strong focus on practical applications and scalability. You will work on diverse projects that require innovative AI solutions, from natural language processing to computer vision and predictive analytics.<ul><li>Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance Lead</li><li>Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</li><li>Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</li><li>AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</li><li>Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</li><li>Prompt versioning: templates in configuration, editable without code changes</li><li>Observability: every LLM call logged with input hash, model version, output, latency, token count</li><li>Fallback logic: graceful degradation when LLM APIs are unavailable</li><li>Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</li></ul> 
Requirements 
<ul><li>
5+ years of experience applying AI and machine learning techniques in a production environment.</li><li>
Strong proficiency in programming languages such as Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Experience with deploying and maintaining AI models at scale.</li><li>
Good understanding of data preprocessing, feature engineering, and model evaluation.</li><li>
Background in statistics, mathematics, or computer science.</li><li>
Ability to collaborate effectively with cross-functional teams and translate business needs into applied AI solutions.</li><li>
Excellent problem-solving skills and a practical, solution-oriented mindset.</li><li>
Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field such as Computer Science, Data Science, or AI.</li><li><ul><li>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</li><li>Prompt engineering for classification &mdash; zero-shot and few-shot</li><li>Python &mdash; async API calls, retry logic, exponential backoff</li><li>LLM evaluation &mdash; precision/recall, human-AI agreement scoring</li><li>Structured output &mdash; JSON schema enforcement, Pydantic validation</li><li>Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</li><li>Token budgeting and context window management</li><li>AI observability &mdash; output quality monitoring, anomaly detection</li><li>FastAPI and Docker</li></ul></li></ul> 

Benefits 
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

AI Engineer (Applied)

Cygnify

<div>
 We're looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling. You won't just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems.
 
 
 You're a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality. You've built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure. You're comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC.
 
 
 You're also client-savvy. You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies. You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces.
 
 
 You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.
 
 
 
 What You Will Do
 
 
 
 ❖ Architect and build scalable, innovative software solutions; internally and for clients
 
 
 ❖ Lead engagements with clients, acting as both a trusted advisor and technical owner
 
 
 ❖ Rapidly prototype, iterate, and validate solutions using modern technologies
 
 
 ❖ Balance short-term deliverables with long-term vision for scalable systems
 
 
 ❖ Work across cross-functional teams to align product goals, timelines, and execution
 
 
 ❖ Mentor junior engineers and contribute to growing a culture of technical excellence
 
 
 ❖ Evaluate new technologies to be implemented at scale for citizen impact
 
 
 ❖ Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality
 
 
 ❖ Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery
 
 
 
 Requirements
 
 
 
 OUR CORE TECH STACK (Flexible)
 
 
 ❖ Backend: C# / .NET / Python
 
 
 ❖ Frontend: React / Next.js
 
 
 ❖ Database: MSSQL, Postgres, Elasticsearch, MongoDB
 
 
 ❖ Cloud: Azure or Google
 
 
 ❖ Dev Tools: Git, CI/CD pipelines, Docker, Terraform, Ansible
 
 
 ❖ ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code
 
 
 
 What You'll Bring
 
 
 
 ❖ 6+ years of professional software engineering experience
 
 
 ❖ Expertise with C# and .NET Core, including building APIs and backend systems
 
 
 ❖ Proficiency in React and/or Next.js for modern frontend development
 
 
 ❖ Experience working with cloud services (Azure, AWS, or GCP)
 
 
 ❖ Strong communication and client management skills; comfortable owning technical delivery in client settings
 
 
 ❖ A passion for learning and working with emerging technologies
 
 
 ❖ Ability to work independently in fast-paced, dynamic environments
 
 
 ❖ Knowledge on how to integrate AI agentic development workflows to strong engineering practices
 
 
 
 Bonus Points For
 
 
 
 ❖ Prior consulting, agency, or client-facing experience
 
 
 ❖ Experience designing cloud-native architectures and using infrastructure-as-code tools
 
 
 ❖ Open-source contributions or published technical content
 
 
 ❖ Familiarity with data science workflows or machine learning integration
 
 
 
 What We Value
 
 
 
 ❖ Curiosity and action: You take initiative and explore new ideas
 
 
 ❖ Empathy and clarity: You're a strong communicator and collaborator
 
 
 ❖ Delivery and impact: You're focused on outcomes, not just outputs
 
 
 ❖ Passion and adaptability: You bring energy, depth, and flexibility to your work
 
 
</div>

Senior Technology Innovation Engineer-Dubai, UAE

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build
In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.
Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You&rsquo;ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale. 
What you bring:<ul><li>
You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs</li><li>
You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems</li><li>
You have hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference</li><li>
You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics</li><li>
You have experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines</li><li>
You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases</li><li>
You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores</li><li>
You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact</li></ul> 
About You<ul><li>
You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production</li><li>
You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions</li><li>
You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready</li><li>
You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact</li></ul> 
Where you belong:
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450276 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Machine Learning Engineer

Provident Real Estate

<div>
 
 
 
 About Provident Real Estate
 
 Established in 2008, Provident Real Estate has grown into one of Dubai's leading real estate agencies, built on transparency, honesty, and professionalism. With a full-service approach, we support clients across buying, leasing, property management, financing solutions, and holiday homes. But what truly sets us apart is how seriously we take execution.
 
 
 Our marketing team of 42 specialists is one of the largest and most driven real estate marketing teams in Dubai. We don't just market properties &mdash; we build systems, standards, and trust at scale. Representing 40+ nationalities and 60+ languages, Provident Real Estate is a place where ownership is encouraged, ideas are respected, and performance is visible. If you bring passion and discipline, there are no limits to how far you can grow here.
 
 
 
 
 
 
 About the role:
 
 We're looking for an AI Engineer who lives and breathes intelligent systems. You'll design and ship production-grade AI agents, architect multi-step AI workflows, and help define how our products think, reason, and act. This is a hands-on role &mdash; you'll be building the systems that matter, not just prototyping them.
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Design and build AI agents &mdash; autonomous, tool-using, goal-directed agents for real-world tasks using frameworks like LangChain, LangGraph, AutoGen, or custom architectures.
 </li>
 <li>
 Define AI workflows &mdash; architect reliable, observable pipelines that chain LLM calls, tool use, memory, and structured outputs together end-to-end.
 </li>
 <li>
 Own the full stack &mdash; from prompt design and model selection to deployment, monitoring, and iteration based on production feedback.
 </li>
 <li>
 Work with RAG and memory systems &mdash; integrate vector databases, knowledge retrieval, and context management into agent pipelines.
 </li>
 <li>
 Evaluate and improve &mdash; build evals, measure agent performance, and drive quality improvements through systematic experimentation.
 </li>
 <li>
 Collaborate cross-functionally &mdash; partner with product, data, and platform engineers to translate requirements into reliable AI-powered systems.
 </li>
 </ul>
 <li>
 
 </li>
 
 
 Must-have skills
 
 
 <ul>
 <li>
 3+ years of software engineering with strong Python proficiency.
 </li>
 <li>
 Hands-on experience building LLM-powered applications or agents.
 </li>
 <li>
 Familiarity with agent frameworks &mdash; LangChain, LangGraph, AutoGen, CrewAI, or similar.
 </li>
 <li>
 Solid grasp of prompt engineering, function calling, and tool use.
 </li>
 <li>
 Experience with APIs (REST, async) and cloud services &mdash; AWS, GCP, or Azure.
 </li>
 <li>
 Ability to reason about latency, cost, and reliability tradeoffs in AI systems.
 </li>
 </ul>
 <li>
 
 </li>
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with vector databases &mdash; Pinecone, Weaviate, pgvector, or Chroma.
 </li>
 <li>
 Knowledge of fine-tuning or RLHF pipelines.
 </li>
 <li>
 Familiarity with MLOps tools &mdash; MLflow, Weights &amp; Biases, etc.
 </li>
 <li>
 Prior work on multi-agent systems or agentic reasoning frameworks.
 </li>
 <li>
 Contributions to open-source AI projects.
 </li>
 </ul>
 
 
 
 
 If you feel you're the right fit, Send your CV along with a brief note on why you're the right fit to
 
 marketing.ads@providentestate.com
 
 
 
 
 
 
 
 PLEASE NOTE:
 
 
 Only CV sent via EMAIL will be screened. NOT EASY APPLY.
 
 
</div>

AI Engineer - Agents & Workflows

DataCamp

<div>About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction&mdash;a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We're building an AI Creator that turns learning into action&mdash;empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets&mdash;you aim to understand the &quot;why&quot; behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities
<ul>
<li>Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.</li>
<li>Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.</li>
<li>Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.</li>
<li>Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.</li>
<li>Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.</li>
<li>Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.</li>
<li>Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.</li>
</ul>
Qualifications
<h3 class="jobSectionHeader">
Technical</h3>
<ul><li>1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.</li>
<li>Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.</li>
<li>Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.</li>
<li>Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.</li>
</ul><h3 class="jobSectionHeader">Product &amp; Pedagogy</h3>
<ul><li>Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.</li>
<li>Ability to reason holistically across AI behavior, content structure, platform features, and user experience.</li>
<li>Familiarity with learning science or a desire to develop expertise.</li>
</ul><h3 class="jobSectionHeader">Character &amp; Collaboration</h3>
<ul><li>Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.</li>
<li>Preference for elegance and simplicity in system design.</li>
<li>Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.</li>
</ul>
Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:
<ul>
<li>Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.</li>
<li>Competitive compensation: We offer a competitive salary with attractive benefits.</li>
<li>Flexibility: Benefit from flexible working hours because the future is flexible!</li>
<li>Continuous learning: Access a yearly learning budget for conferences &amp; training to support your professional growth.</li>
<li>Global retreats: Participate in international company retreats, fostering a global team spirit.</li>
<li>Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.</li>
<li>Amazing team: Collaborate with a truly exceptional team&mdash;seriously, we're awesome!</li></ul></div>

Principal AI Engineer - AI Creator

Elevenlabs

<div><h2 class="jobSectionHeader">About ElevenLabs</h2>
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. 
 
We have expanded from voice into three main platforms:<ul><li>
ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.</li><li>
ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.</li><li>
ElevenAPI gives developers access to our leading AI audio foundational models.</li></ul>
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.<h2 class="jobSectionHeader">
How we work</h2><ul><li>
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.</li><li>
Impact not job titles: We don&rsquo;t have job titles. Instead, it&rsquo;s about the impact you have. No task is above or beneath you.</li><li>
AI first: We use AI to move faster with higher-quality results. We do this across the whole company&mdash;from engineering to growth to operations.</li><li>
Excellence everywhere: Everything we do should match the quality of our AI models.</li><li>
Global team: We prioritize your talent, not your location.</li></ul><h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Innovative culture: You&rsquo;ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what&rsquo;s possible.</li><li>
Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.</li><li>
Learning &amp; development: ElevenLabs proactively supports professional development through an annual discretionary stipend.</li><li>
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.</li><li>
Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.</li><li>
Co-working: If you&rsquo;re not located near one of our main hubs, we offer a monthly co-working stipend.</li></ul><h2 class="jobSectionHeader">
About the role</h2>
We're looking for a RevOps Systems Analyst to help build a modern, AI-powered revenue operations stack. This isn't a traditional Salesforce admin role. We're building a GTM tech stack where AI is a first-class citizen, automations are genuinely intelligent, and our CRM is a living system that reflects how our business actually works.
You'll function as a Salesforce admin and backend developer in one. You'll own platform administration, build complex automations via Flows and Apex, and develop and maintain custom services and integrations, including Salesforce MCP servers and AI tooling that connect our CRM to the broader systems our team runs on. For larger engineering efforts, you'll work shoulder-to-shoulder with our engineering team, scoping and shipping together.
In this role, you will:<ul><li>
Administer our Salesforce org: object model, data architecture, user configuration, and platform health.</li><li>
Build and maintain automations via Salesforce Flows, Apex, and custom services that power our GTM processes end to end.</li><li>
Develop and maintain Salesforce MCP servers and AI tooling that extend CRM functionality into AI-powered workflows.</li><li>
Design and maintain SQL-based data pipelines that feed dashboards and revenue reporting across the org.</li><li>
Translate ambiguous business problems into clean technical scope, from stakeholder conversation to implemented solution.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
Salesforce administration experience with deep familiarity across the object model, Flows, data loading tools, and platform configuration.</li><li>
Strong Apex development skills: you can build, debug, and maintain custom logic, triggers, and integrations without leaning on a separate engineering team.</li><li>
SQL proficiency: you can decompose ambiguous questions into answerable queries and are comfortable with complex joins, aggregations, and pipeline logic.</li><li>
Systems mindset: you can hold an end-to-end process in your head, trace a field from its origin through every downstream dependency, and anticipate what breaks when something changes.</li><li>
Excited by modern tooling: you're drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect.</li></ul>
Bonus:<ul><li>
Familiarity with dbt or modern data transformation tooling.</li><li>
Experience with BI tools such as Sigma or Looker.</li></ul><h2 class="jobSectionHeader">
Location</h2>
This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.</div>

Systems Analyst

Alhodood Technologies

Job Summary:We are seeking an experienced and motivated Real Estate Agent with a strong background working with property developers. The ideal candidate must be fluent in Hindi and possess in-depth knowledge of off-plan projects, developer sales processes, and the UAE real estate market.Key Responsibilities:<ul><li>Promote and sell off-plan and ready properties from leading developers</li><li>Build and maintain strong relationships with property developers</li><li>Advise clients on property investments, market trends, and ROI opportunities</li><li>Conduct property viewings and presentations for clients</li><li>Handle end-to-end sales process (lead generation to closing deals)</li><li>Stay updated on new project launches and developer offerings</li><li>Achieve monthly and quarterly sales targets</li><li>Maintain accurate records using CRM systems</li></ul>Requirements:<ul><li>Proven experience as a Real Estate Agent in Dubai (preferably with developer sales experience)</li><li>Strong knowledge of off-plan properties and developer projects</li><li>Fluent in Hindi (mandatory); English proficiency required</li><li>Excellent communication, negotiation, and interpersonal skills</li><li>RERA certification (preferred)</li><li>Self-motivated with a target-driven mindset</li><li>Valid UAE driving license (preferred)</li></ul>Job Types: Full-time, PermanentPay: AED8,000.00 - AED120,000.00 per hourWork Location: In person

Real Estate Agent - Hindi speakers only

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