ai platform engineer

Andersen

<p><b>Andersen</b> is hiring an <b>AI Platform Engineer</b> to enhance a secure cloud-based platform by building scalable AI infrastructure, orchestration, and observability for reliable, intelligent performance.</p><p><b>The customer</b> is an international company delivering professional and technology-enabled solutions that support effective collaboration, structured communication, and operational efficiency for organizations. It operates in a fast-growing environment, focusing on scalability, security, and continuous improvement while developing digital platforms used by diverse clients worldwide.</p><p><b>The project</b> is focused on enhancing a secure, cloud-based board management platform with intuitive meeting tools, real-time collaboration, and advanced analytics. It also includes building and maintaining scalable AI infrastructure, orchestration patterns, and observability to ensure reliable and intelligent platform performance.</p><p><b>Responsibilities: </b></p><ul><li>Implementing multi-agent orchestration and tool-calling patterns.</li><li>Building observability infrastructure (tracing, logging, cost tracking).</li><li>Establishing API gateway patterns and runtime consistency.</li><li>Designing failure handling, retry logic, and context routing.</li><li>Enforcing tool schema standards across teams.</li><li>Documenting and evangelizing platform patterns.</li></ul><p><b>Must-have: </b></p><ul><li>Experience as an AI Platform Engineer, LLM Infrastructure Engineer or in a similar role for 4+ years.</li><li>Solid experience working with LLM system architecture and infrastructure, including multi‑agent orchestration and tool‑calling.</li><li>Practical experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or equivalents).</li><li>Knowledge of major cloud platforms (Azure/AWS/GCP) and distributed systems services.</li><li>Experience with logging, metrics, and tracing tools: OpenTelemetry, Prometheus, Grafana, Elastic, Datadog.</li><li>Strong proficiency in Python or another commonly used ML/infrastructure language.</li><li>Good understanding of API design principles (REST, gRPC), JSON Schema, and OpenAPI specifications.</li><li>Hands‑on experience implementing agent orchestration patterns and tool invocation in high‑load AI environments.</li><li>Level of English &ndash; from Upper-Intermediate and above.</li></ul><p><b>Nice to have: </b></p><ul><li>Proven ability to build observability infrastructure, including distributed tracing, logging, metrics, and cost tracking.</li><li>Experience designing and implementing API gateway patterns: request routing, version control, unified responses, and runtime consistency.</li><li>Strong understanding of resilience mechanisms such as error handling, retry logic, fallback strategies, and context routing.</li><li>Experience establishing and enforcing tool schema standards across cross‑functional teams.</li><li>Ability to document technical solutions and promote architectural patterns across the organization.</li></ul><p><b>Reasons why this job would be interesting to you: </b></p><ul><li>Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson &amp; Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..</li><li>The opportunity to change the project and/or develop expertise in an interesting business domain.</li><li>Job conditions &ndash; you can work both fully remotely and from the office or can choose a hybrid variant.</li><li>Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.</li><li>The opportunity to earn an additional up to 1,000 USD per month by participating in the company's activities.</li><li>Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.</li><li>Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).</li><li>Certification compensation (AWS, PMP, etc).</li><li>Referral program.</li><li>English courses.</li><li>Private health insurance and compensation for sports activities.</li></ul><p><b>Join us! </b></p><p>Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy</p><p>https://people.andersenlab.com/</p><p>Job Type: Full-time</p><p>Pay: From AED12,000.00 per month</p><p>Work Location: Remote</p>

AI Platform Engineer

Servaid Pharmacy

<p><b>ML &amp; Generative AI Platform Engineer (On-Site | Lahore / Karachi / Islamabad)</b><br/>Location: On-Site &ndash; Lahore / Karachi / Islamabad<br/>Experience Level: 8&ndash;10 Years<br/>Compensation: Competitive (Based on Experience)</p><p>We are seeking an experienced <b>ML &amp; Generative AI Platform Engineer</b> to lead the deployment, scaling, and operation of production-grade AI/ML and Generative AI systems in cloud environments.</p><p>This is a full-time, on-site role based in <b>Lahore, Karachi, or Islamabad</b>.</p><p>Key Responsibilities:</p><ul><li>Deploy and scale ML &amp; GenAI systems in cloud production environments (Azure preferred)</li><li>Build and manage enterprise-grade RAG applications using embeddings and vector search</li><li>Implement agentic AI workflows using LangChain, LangGraph, and related frameworks</li><li>Develop reusable AI infrastructure and orchestration using MCP and ADK</li><li>Design model and agent serving architectures (APIs, batch inference, real-time workflows)</li><li>Establish observability, monitoring, and governance for AI pipelines</li><li>Drive MLOps / LLMOps best practices including CI/CD, testing, and lifecycle management</li><li>Ensure security, compliance, reliability, and cost optimization at scale</li></ul><p>Required Qualifications:</p><ul><li>8&ndash;10 years of experience in ML Engineering, AI Platform Engineering, or similar roles</li><li>Strong Python expertise with production-ready AI systems</li><li>Proven experience deploying enterprise GenAI applications</li><li>Experience with LangChain, LangGraph, LangSmith</li><li>Strong understanding of model serving and inference pipelines</li><li>Experience with Azure AI, Azure ML, or Databricks (preferred)</li><li>Experience with Docker, Kubernetes, and REST APIs</li></ul><p><b>How to Apply:</b><br/>Send your updated CV to <b>crewedge1@gmail.com</b> and mention your preferred city (Lahore, Karachi, or Islamabad) in the subject line.</p><p>Job Type: Full-time</p><p>Pay: Rs400,000.00 - Rs550,000.00 per month</p><p>Work Location: In person</p>

ML & AMP; Generative AI Platform Engineer with 8–10 years

KINDO

<div><h1 class="jobSectionHeader"><b>Principal AI Systems Engineer &mdash; Agentic Platforms</b></h1>
<h2 class="jobSectionHeader"><b>The Moment</b></h2>
<p>
The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, reliability, control, and security.</p>
<p>
OpenAI acquired OpenClaw. Meta paid $2B for Manus. The agent platform layer is becoming one of the most important layers in the stack.</p>
<p>
At Kindo, we're already there. Our platform runs autonomous agents in production at real enterprises, automating DevOps and SecOps workflows with real permissions, real consequences, and real reliability requirements.</p>
<h2 class="jobSectionHeader"><b>
About Kindo</b></h2>
<p>
Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.</p>
<p>
We're a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape the platform's technical direction and long-term evolution.</p>
<h2 class="jobSectionHeader"><b>
The Role</b></h2>
<p>
You will define and evolve the architectural foundations of Kindo's agent platform. This is applied systems engineering at the frontier of AI-native development, not ML research and not chatbot wrappers. You'll work on agent execution frameworks, memory architectures, multi-model execution, secure tool-calling integrations, and the platform primitives that determine what autonomous systems can reliably do.</p>
<p>
This role requires invention and unusually strong technical judgment. Many of the paradigms for agentic systems are still emerging. You'll continuously track the ecosystem, explore new approaches, prototype quickly, and decide what becomes the platform's durable foundation. You will identify the highest-leverage architectural opportunities, the failure modes most likely to bite us, and the guardrails and abstractions that let the system scale safely.</p>
<p>
Principal engineers at Kindo are builders and inventors who help determine what the future of agentic systems should look like, while ensuring the platform remains reliable, secure, observable, debuggable, and maintainable under real-world conditions.</p>
<h2 class="jobSectionHeader"><b>
What You'll Build</b></h2>
<ul><li>Agent execution architectures, including autonomous task loops, scheduling, triggers, control planes, and failure isolation</li>
<li>Retrieval and memory architectures, including persistent, structured, and contextual memory systems</li>
<li>Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes</li>
<li>Tool-calling and integration frameworks for safe interaction with external services and enterprise environments</li>
<li>Reliability, security, and operability foundations, including evaluation, observability, auditing, and recovery paths</li>
<li>Core platform primitives and architectural patterns that enable entirely new autonomous capabilities safely</li>
</ul><h2 class="jobSectionHeader"><b>How You Build</b></h2>
<p>
AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality. At this level, you also help define the engineering paradigm itself: how we use autonomous agents and AI-driven workflows to compound velocity over time while minimizing slop, security risk, and architectural drift.</p>
<p>
You build with discipline. You create boundaries, verification strategies, and operational guardrails so systems remain understandable and controllable as autonomy increases. You ensure the platform can evolve rapidly without losing reliability and security.</p>
<h2 class="jobSectionHeader"><b>
What We're Looking For</b></h2>
<p>
We care far more about what you've built than what's on your resume.</p>
<p>
You:</p>
<ul>
<li>Have deep expertise designing and operating complex backend or distributed systems in production</li>
<li>Have built and evolved platform-level architectures that remained durable under rapid change</li>
<li>Have built LLM-powered or AI-native systems beyond demos, with real users, constraints, and failure modes</li>
<li>Demonstrate exceptional architectural judgment around reliability, security, observability, and long-term system evolution</li>
<li>Have invented or introduced foundational abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness</li>
<li>Actively track emerging tools, models, and approaches and translate the best of them into production systems</li>
<li>Use AI as a core part of your engineering workflow, not as an occasional convenience</li>
<li>Operate with exceptional ownership and take systems end-to-end, including long-term evolution</li>
</ul>
<p>Technical requirements:</p>
<ul>
<li>TypeScript required, Python strongly preferred</li>
<li>Strong SQL proficiency</li>
<li>Experience with production infrastructure; Docker/Kubernetes experience is a plus</li>
<li>Familiarity with enterprise security patterns is a plus</li>
<li>Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus</li>
</ul><h2 class="jobSectionHeader"><b>Culture</b></h2>
<p>
Small team, high autonomy, high ownership. We move fast, prototype aggressively, and ship what works. We maintain high standards around reliability, security, and clarity. We value builders, explorers, and inventors who want to help define the future of agentic systems.</p>
<h2 class="jobSectionHeader"><b>
Compensation and Location</b></h2>
<p>
Compensation: $250,000&ndash;$330,000 base salary plus competitive equity<br>
Location: Venice, San Francisco, Remote, or Hybrid</p>
<h2 class="jobSectionHeader"><b>
How to Apply</b></h2>
<p>
Send us:</p>
<ul>
<li>Your work. A portfolio, demo, GitHub profile, blog post, recorded walkthrough, or any evidence of AI systems you've built. We want to see how you think, not just what you've done.</li>
<li>A brief note on what excites you about agentic systems and where you think the hard problems are.</li>
<li>Your resume, but know that the first two items matter more.</li>
</ul>
<p>We'll move fast. The interview process is designed to see how you actually work, not quiz you on trivia.</p></div>

Principal AI Systems Engineer — Agentic Platforms

BV Teck

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.<br>
We leverage cutting-edge large language model (LLM) and AI platform technologies to build scalable, secure, and production-ready AI systems. As we continue to grow, we&rsquo;re looking for a skilled <b>LLM Platform Engineer</b> to join our dynamic team and contribute to our mission of transforming business processes through technology.<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
We are looking for <b>OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people</b> who are looking for an <b>H1B sponsorship for the year 2027 quota</b>.<br>
<br>
<b>Company:</b> Bright Vision Technologies ( www.bvteck.com )<br>
<b>Job Title:</b> LLM Platform Engineer<br>
<b>Onsite/Hybrid:</b> Remote<br>
<b>FULL-TIME ROLE WITH BRIGHT VISION</b><br>
<br>
<b>Job Description:</b><br>
<b>Environment:</b><br>
Large Language Models (LLMs), Python, Prompt Engineering, Model Fine-Tuning, Hugging Face, OpenAI / Azure OpenAI APIs, Vector Databases, Embeddings, RESTful APIs, Model Deployment &amp; Scaling, Docker, Kubernetes, Cloud Platforms (AWS / Azure / GCP), CI/CD pipelines, Linux, Git, Agile methodologies<br>
<br>
<b>BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.</b><br>
<br>
For every role, a <b>coding test is required</b>, so apply only if you are <b>confident and technically strong</b>.<br>
We prefer <b>at least 3 to 5 years real time experience</b>.<br>
<br>
If you are an <b>LLM Platform Engineer</b> with the above skills and are looking for an <b>H-1 B sponsorship</b> this year, please send your resume immediately to <b>harry@bvteck.com</b>.<br>
<br>
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.<br>
<b>Position offered by &ldquo;No Fee agency.&rdquo;</b><p><br>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>cKRpmRe3hi</p></div>

LLM Platform Engineer

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.<br>
We leverage cutting-edge large language model (LLM) and AI platform technologies to build scalable, secure, and production-ready AI systems. As we continue to grow, we&rsquo;re looking for a skilled <b>LLM Platform Engineer</b> to join our dynamic team and contribute to our mission of transforming business processes through technology.<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
We are looking for <b>OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people</b> who are looking for an <b>H1B sponsorship for the year 2027 quota</b>.<br>
<br>
<b>Company:</b> Bright Vision Technologies ( www.bvteck.com )<br>
<b>Job Title:</b> LLM Platform Engineer<br>
<b>Onsite/Hybrid:</b> Remote<br>
<b>FULL-TIME ROLE WITH BRIGHT VISION</b><br>
<br>
<b>Job Description:</b><br>
<b>Environment:</b><br>
Large Language Models (LLMs), Python, Prompt Engineering, Model Fine-Tuning, Hugging Face, OpenAI / Azure OpenAI APIs, Vector Databases, Embeddings, RESTful APIs, Model Deployment &amp; Scaling, Docker, Kubernetes, Cloud Platforms (AWS / Azure / GCP), CI/CD pipelines, Linux, Git, Agile methodologies<br>
<br>
<b>BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.</b><br>
<br>
For every role, a <b>coding test is required</b>, so apply only if you are <b>confident and technically strong</b>.<br>
We prefer <b>at least 3 to 5 years real time experience</b>.<br>
<br>
If you are an <b>LLM Platform Engineer</b> with the above skills and are looking for an <b>H-1 B sponsorship</b> this year, please send your resume immediately to <b>harry@bvteck.com</b>.<br>
<br>
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.<br>
<b>Position offered by &ldquo;No Fee agency.&rdquo;</b><p><br>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>Or3z6LPMr6</p></div>

Microsoft

<div><b>Overview</b><div><p><br>
The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure&rsquo;s innovation and differentiation, as well as all of Microsoft&rsquo;s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.</p></div><div><p>
Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model.</p></div><div><p>
Our Azure AI Foundry Model Customization Team is at the forefront of this mission, working on groundbreaking projects for customizing OpenAI and OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users.</p></div><div><p>
If you're passionate about AI, love tackling complex challenges, and want to contribute to the next generation of language models, we'd love to hear from you!</p></div><div><p>
Apply now and let's build the future together.</p></div><b><br>
Responsibilities</b><div><p><br>
As a Principal Software Engineer on our team, you will drive the design, development, and support of the platform that powers Azure Machine Learning and Azure OpenAI model customization in Azure AI Foundry. You&rsquo;ll work across teams to help make the whole organization successful.</p></div><div><p>
Your responsibilities will include the following:</p></div><div><ul><li><p>
Design, implement, and support scalable, reliable, high-performance services with a strong focus on SLA/SLO, customer adoption and velocity of iterations</p></li></ul></div><div><ul><li><p>
Advocate new trends to adapt them to current problems and shares knowledge with peers</p></li></ul></div><div><ul><li><p>
Improve artificial intelligence tools and practices across the software development lifecycle.</p></li></ul></div><div><ul><li><p>
Lead discussions for architecture of complex products ensuring test strategies for solution quality</p></li></ul></div><div><ul><li><p>
Mentor in identifying dependencies and producing extensible code across teams.</p></li></ul></div><div><ul><li><p>
Lead debugging efforts and application of coding patterns to improve code quality</p></li></ul></div><div><ul><li><p>
Develop automation for production deployment targeting zero-touch when possible</p></li></ul></div><div><ul><li><p>
Embody our Culture and Values</p></li></ul></div><b><br>
Qualifications</b><br>
<div><ul><li>
Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to C++ / C#, Java or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to C++ / C#, Java or Python OR equivalent experience.
</li><li>Depth in Generative AI and Engineering</li><li>
A strong background in machine learning, deep learning, and natural language processing.</li><li>
Proficiency in Python and relevant ML libraries (e.g., PyTorch, Transformers).
</li><li>Experience with transformer-based models (e.g., BERT, GPT, Llama).</li><li>
Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing (Kubernetes).</li><li>
Excellent problem-solving skills and the ability to work independently and collaboratively.</li></ul><p><b>
Other Requirements</b>:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</p></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Principal Software Engineer

Tabby

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company.<br>
</div><div>This internship is not educational by default. It is an engineering-adjacent role with real production impact.</div><div>
The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling.<br>
</div><div>The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.</div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><div><br>
This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.<br>
</div><ul><li>Build AI agents and automations using internal no-code and low-code tooling</li>
<li>Configure agent workflows, tools, and orchestration logic</li>
<li>Integrate agents with internal systems via APIs and tools</li>
<li>Participate in designing agent architectures and workflows</li>
<li>Help test, evaluate, and iterate on agent behavior and quality</li>
<li>Work with datasets and evaluation results to improve agent performance</li>
<li>Document agent logic, workflows, and best practices</li>
<li>Work closely with platform engineers, product managers, and internal users</li></ul><br>
<h3 class="jobSectionHeader"><b>
Skills, Knowledge &amp; Expertise</b></h3><br>
<ul>
<li>
Strong logical and systems thinking</li>
<li>Ability to break down human workflows into structured steps</li>
<li>Understanding of how web services, APIs, and tools interact</li>
<li>Experience with no-code or low-code platforms</li>
<li>Basic understanding of data formats (JSON), APIs, and webhooks</li>
<li>Ability to reason about edge cases, failure modes, and correctness</li>
<li>High level of ownership and responsibility</li>
<li>Comfort with fast iteration and experimental environments</li>
<li>English sufficient for documentation and team communication</li>
</ul><ul><li>Experience with LLMs, AI agents, or automation</li>
<li>Experience building internal tools or automations</li>
<li>Experience with Python</li>
<li>Education in data science, machine learning field</li>
<li>Understanding of prompt design or agent orchestration concepts</li>
<li>Familiarity with evaluation, testing, or quality metrics</li>
<li>Curiosity about AI system behavior and limitations</li></ul><br>
<h3 class="jobSectionHeader"><b>
Eligibility</b></h3><br>
<ul>
<li>
Saudi nationals only</li>
<li>Internship is structured and administered through HRDF</li>
<li>We welcome both current students and fresh grads</li>
<li>We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</li>
</ul><ul><li>Paid internship</li>
<li>Full integration into the automations building team</li>
<li>Distributed engineering team across multiple countries</li>
<li>Remote work is available from anywhere</li>
<li>Office-based work is available in Riyadh</li>
<li>Clear path to a junior AI automation, no-code engineer, or platform role based on performance</li>
</ul><div>
<br>
This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.</div><h3 class="jobSectionHeader"><b><br>
About Tabby</b></h3><div>
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.<br>
<br>
The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.<br>
<br>
Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.<br>
<br>
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.</div></div>

No-Code / AI Agents Engineering Intern

Search 10000+ Ai platform engineer jobs near you this March. New roles added regularly across leading industries. Apply today.

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AI Platform Engineer

ML & AMP; Generative AI Platform Engineer with 8–10 years

Principal AI Systems Engineer — Agentic Platforms

LLM Platform Engineer

LLM Platform Engineer

Principal Software Engineer

No-Code / AI Agents Engineering Intern