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ai application engineer

OneBullEx

<div><p><b>AI Application Engineer</b></p>
<p>
OneBullEx is a crypto futures exchange startup designed for speed, reliability, and innovation. Our platform offers advanced futures trading capabilities, including AI-powered 300 SPARTANS trading bots for automated, high-precision strategies. With cutting-edge AI and machine learning tools, we deliver real-time performance even during high-volatility market conditions. We combine a user-focused interface with transparent risk management, empowering traders to navigate the fast-moving digital asset markets with confidence.<br>
<br>
We are now looking for a<b> </b>talented AI Application Engineer to join our team and drive the design, implementation, and expansion of our AI-driven customer service and automation systems.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Dialogue Flow Design &amp; Management &ndash; Design, build, and maintain intelligent conversation flows using Zendesk Flow Builder, including smart ticket routing strategies</li>
<li>Integrate FAQs and core exchange content into the Zendesk AI system to optimise automated response logic and knowledge base templates</li>
<li>Deploy simple and complex automation flows using Zendesk AI Agent Essential &amp; Advanced modules (including Make API Call functionality)</li>
<li>Cross-Functional Collaboration &ndash; Work with data analysts to refine conversation paths based on user behaviour; collaborate with content teams to ensure AI replies are accurate, consistent, and timely</li>
<li>Human-AI Collaboration Design &ndash; Define seamless escalation logic for AI-to-human handoffs, ensuring complex issues are transferred efficiently</li>
<li>Customer Service Process Setup &ndash; Map user problem scenarios, build standardised workflows, and streamline resolution paths</li>
</ul>
<p><b>Future Responsibilities</b></p>
<ul>
<li>SOP Development &amp; Process Optimisation &ndash; Contribute to end-to-end operational flow design across exchange functions (deposits/withdrawals, security verification, trading processes), and help establish a complete SOP framework</li>
<li>AI Module Expansion Across Teams &ndash; Extend AI automation from support to other departments (risk control, BD, operations), and design interconnected AI workflows to boost overall operational efficiency</li>
</ul>
<p><b>Candidate Requirements</b><br>
<br>
<b>Basic Qualifications</b></p>
<ul>
<li>Bachelor's degree or above (preferred majors: Information Systems, Operations Management, Linguistics, or related fields)</li>
<li>Familiarity with Zendesk or similar customer service platforms (Intercom, Freshdesk, Salesforce Service Cloud)</li>
<li>1+ years' experience in intelligent customer service, process design, or workflow automation</li>
<li>Proficient in flow design tools (e.g. Zendesk Flow Builder, process-mapping tools)</li>
<li>Hands-on experience applying LLMs and AI agents in practical projects</li>
<li>Deep understanding of Agentic AI concepts and their role in task automation</li>
<li>Strong logical thinking, user experience sensitivity, and excellent cross-department collaboration skills</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Data analysis skills for optimising workflows based on support metrics</li>
<li>Experience in crypto exchanges, DeFi, or fintech environments is a strong plus</li>
</ul>
<p><b>Why Join OneBullEx</b></p>
<ul>
<li>Early Impact &ndash; Shape and deliver AI-driven solutions from the ground up</li>
<li>Growth Trajectory &ndash; Be part of a platform with global ambitions and long-term career potential</li>
<li>Dynamic Culture &ndash; Work in a high-performance, international team in a fast-paced and innovative industry</li>
<li>Attractive Package &ndash; Competitive salary and benefits, including full relocation support to Dubai</li></ul></div>

AI Application Engineer

Make Fortune Business Solutions

<p><b>About Us</b></p><p>Real Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.</p><p><b>What You&rsquo;ll Do (Key Responsibilities)</b></p><ul><li>Build the core AI chatbot with RAG.</li><li>Optimize RAG pipelines.</li><li>Develop semantic search (Elasticsearch).</li><li>Work with LLMs.</li><li>Engineer data pipelines.</li><li>Ensure integrations and collaboration across systems.</li></ul><p><b>Who You Are (Required Skills)</b></p><ul><li>Proven experience as an AI/ML Engineer with a strong project portfolio in NLP and/or Conversational AI.</li><li>Solid hands-on expertise with Python and ML frameworks (e.g., PyTorch, Hugging Face, LangChain).</li><li>Strong track record in building and deploying RAG systems and working with vector databases (e.g., Pinecone, Milvus, Weaviate).</li><li>Strong understanding of search technologies, especially Elasticsearch.</li><li>Strong foundation in NLP concepts, including transformers, embeddings, and NER.</li><li>Experience with cloud infrastructure and services (e.g., AWS S3).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li></ul><p><b>Nice to Have (Preferred Skills)</b></p><ul><li>Experience with different open-source and proprietary LLMs.</li><li>Experience with Arabic NLP.</li><li>Familiarity with MLOps principles and tools for deploying and monitoring models.</li><li>Passion for building intuitive user interfaces.</li></ul><p>If you are a creator passionate about developing intelligent conversational AI to solve real, meaningful problems, we want to hear from you. Apply now and help us build the future of law.</p><p><b>What We Offer</b></p><ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul><p>Job Types: Full-time, Temporary, Contract</p><p>Application Question(s):</p><ul><li>How many years of work experience do you have with Python?</li></ul><ul><li>How many years of proven experience as an AI/ML Engineer in NLP do you have?</li></ul>

AI Engineer

ION Group

<div><div><b>Job Summary</b></div><div>
Lab49 is hiring a Principal Technical Architect to lead the end-to-end solution architecture for an AI-first consumer platform in one of the world&rsquo;s most dynamic business hubs. This is a hands-on, design authority role spanning mobile, web, backend, data, and AI &ndash; owning the platform&rsquo;s architecture across squads and ensuring secure, scalable, and coherent delivery. You will define integration to the core platform, establish API and event contracts, and orchestrate SOP/workflow logic so AI-driven experiences execute reliably across both Lab49 and core platform-managed services.</div><div></div><div><br>
The Principal Technical Architect will act as the platform&rsquo;s design authority, setting architectural guardrails, interface contracts, and integration strategy across domains (front end, mobile, backend, data, AI, DevSecOps). You will collaborate with product, engineering, data science, security, and client stakeholders to translate business goals into a resilient, cloud-native, event-driven architecture. A key focus is the Trusted AI Foundation (model/runtime governance, vector/knowledge layers, feedback loops) and core platform integration (API, data, and event flows) to power real-time, personalised experiences at scale.</div><div>
The ideal candidate brings deep experience shipping complex, distributed consumer platforms (mobile + web), integrating with large transactional systems in a high-stakes environment.</div><div></div><div><b><br>
Key Responsibilities:</b></div><div></div><div><b><br>
Solution Design and Architecture</b></div><div>
Own the end-to-end architecture; define the target architecture (DDD), NFRs (security, performance, resilience), and platform guardrails.</div><div>
Create detailed design specifications, reference implementations, and architectural decision records (ADRs).</div><div>
Design for modularity and evolvability (microservices/micro frontends, event-driven patterns, clear service and domain boundaries).</div><div>
Ensure the architecture supports offline-first mobile, low-latency personalisation, and graceful degradation when AI or upstreams are unavailable.</div><div></div><div><b><br>
Agentic Orchestration (Application Layer)</b></div><div>
Define the agentic execution layer: task/goal decomposition, tool use, SOP orchestration, retries/compensation, and human-in-the-loop where required.</div><div>
Implement application-side guardrails (PII redaction at the edge, prompt-injection defences, output moderation hooks) and align them to policies exposed by the AI Foundation.</div><div>
Establish evaluation gates, canarying and rollback for agent changes; drive telemetry for quality, safety and cost.</div><div></div><div><b><br>
Core Integration &amp; Orchestration (Design Authority)</b></div><div>
Lead integration design with the core processing platform:</div><div>
Define API contracts and async event schemas with versioning and backward compatibility.</div><div>
Manage data and event flows</div><div>
Own SOP/workflow orchestration and Event Driven Architecture patterns across Lab49 and core managed services.</div><div>
Align to industry standards where applicable.</div><div>
Ensure service level objectives, resilience and clear interface SLAs.</div><div></div><div><b><br>
Stakeholder Collaboration</b></div><div>
Work closely with product leaders to translate requirements into scalable tech designs and integration patterns.</div><div>
Collaborate with engineering, security, Platform, and data/AI teams to ensure coherent delivery and operational readiness.</div><div>
Communicate architectural vision and trade-offs clearly to technical and non-technical stakeholders.</div><div></div><div><b><br>
Client Interaction</b></div><div>
Engage with client architects and programme leadership to align roadmaps, de-risk delivery, and secure sign-off on contracts and standards.</div><div>
Act as a trusted advisor; contribute to engagement expansion through credible technical leadership.</div><div></div><div><b><br>
Technical Leadership</b></div><div>
Provide hands-on architectural oversight of code quality, API design, data models, and infra alignment.</div><div>
Mentor leads and senior engineers; run design reviews and cross-squad architecture forums.</div><div>
Evaluate and recommend tooling, frameworks, and reference patterns.</div><div></div><div><b><br>
Security</b></div><div>
Embed security by design across services and data flows.</div><div>
IAM and identity patterns, secrets management, and secure supply chain.</div><div>
Threat modelling, vulnerability management, runtime protection, and data privacy compliance.</div><div></div><div><b><br>
Governance and Standards</b></div><div>
Establish and enforce architectural standards, API guidelines, event schemas, and coding conventions.</div><div>
Maintain artefacts (models, diagrams, ADRs, interface catalogues) and run periodic architecture reviews.</div><div></div><div><b><br>
Universal Engineering</b></div><div>
Integrate a diverse technology stack across mobile, web, backend, data, and AI.</div><div>
Experience in large-scale consumer platforms is essential.</div><div></div><div><b><br>
Front End</b></div><div>
Oversee the experience layer across web and mobile; ensure modern, accessible, and high-performing UIs.</div><div>
Champion design systems, micro frontends where appropriate, and robust API/contract boundaries to the app shell.</div><div></div><div><b><br>
Personality and Delivery Focus</b></div><div>
Strategic, resilient self-starter with an outgoing style; able to influence across organisations.</div><div>
Bias to action and delivery excellence&mdash;on time, within budget, and to quality.</div><div></div><div><b><br>
Qualifications</b></div><div>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field; Master&rsquo;s preferred.</div><div>
10+ years in software/solution engineering with 5+ years in senior/principal architecture roles.</div><div>
Proven record designing and delivering complex, distributed, cloud-native platforms at scale.</div><div>
Experience integrating with complex transactional systems is strongly preferred.</div><div></div><div><b><br>
Skills</b></div><div><b>
Architecture &amp; Integration:</b> Design modular systems; define API and event contracts; knowledge of Telecom BSS is a plus.</div><div><b>
Cloud &amp; Platform:</b> Cloud-native design, containers/orchestration, infrastructure as code, continuous integration/delivery; tune for performance and cost.</div><div><b>
Data &amp; Agentic Layer:</b> Data models and streaming; application-side agent orchestration and safety controls.</div><div><b>
Security &amp; Reliability:</b> Identity and access, encryption and secrets; timeouts/retries; monitoring, tracing and resilience.</div><div><b>
Web/Mobile &amp; Leadership:</b> Modern web and mobile patterns; strong in one backend language; code quality; lead cross-squad decisions.</div><div></div><div><b><br>
Certifications (Preferred)</b></div><div>
AWS Certified Solutions Architect - Professional</div><div>
AWS Certified DevOps Engineer - Professional</div><div>
AWS Certified Security - Specialty</div><div><b>
Either:</b></div><div>
AWS Certified Machine Learning - Specialty</div><div>
AWS Certified Machine Learning Engineer &ndash; Associate (to evidence hands-on AI/ML delivery on AWS)</div><div><b>
Nice to have:</b></div><div>
AWS Certified AI Practitioner</div><div>
CKA / CKAD for Kubernetes</div></div>

Principal Technical Architect

DATAIKU

<div><div><div><p>Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.</p></div><div>
Why Engineering at Dataiku?</div>
<p>
Dataiku&rsquo;s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.</p>
<div>
What to know about the Field Engineering team</div>
<p>
As a Field Engineer, you&rsquo;ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.</p>
<div>
How you&rsquo;ll make an impact</div>
<p>
This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.</p>
<div>
Some expected outcomes for this role:</div>
<ul><li>Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations</li>
<li>Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)</li>
<li>Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack</li>
<li>Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers</li>
<li>Drive technical success by being a trusted advisor to our customers and our internal account teams</li>
</ul><div>What you need to be successful:</div>
<ul><li>Professional experience with at least one cloud based services (AWS, GCP or Azure)</li>
<li>Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning</li>
<li>Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)</li>
<li>Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)</li>
<li>Some experience with Python</li>
<li>Grit when faced with technical issues</li>
<li>Comfort and confidence in client-facing interactions</li>
<li>Ability to work both pre and post sale</li>
</ul><div>What will make you stand out:</div>
<ul><li>Some knowledge in Data Science and/or machine learning</li>
<li>Linux system administration experience</li>
<li>Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning</li>
<li>Professional experience or Familiarity with Hadoop environment (Cloudera) is a plus</li>
<li>Experience with authentication and authorization systems like(A)AD, IAM, and LDAP</li>
</ul><div>What does the hiring process look like? #LI-Hybrid #LI-AN1</div>
<ul><li>Initial call with a member of our Technical Recruiting team</li>
<li>Video call with the Field Engineer Hiring Manager</li>
<li>Technical Assessment to show your skills (Home Test)</li>
<li>Debrief of your Tech Assessment with Field Engineer Team members</li>
<li>Final Interview with the VP Field Engineering</li>
</ul><p></p><div>
<p>What are you waiting for!</p>
<p>At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.</p>
<p></p>
<p><i>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: </i>reasonable-accommodations@dataiku.com</p><br>
<p></p>
<p></p>
<p></p><div><p>Protect yourself from fraudulent recruitment activity</p>
<p><i>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity </i><i>here.</i></p>
</div></div></div><div><p><b>A</b></p></div></div>

Field Engineer - Dubai

Kreatives Konnect

<ul><li>We&rsquo;re looking for a <b>creative and technically skilled AI Prompt Specialist</b> who can transform ideas into impactful outputs using the latest AI platforms.</li></ul><p><b>What You&rsquo;ll Do:</b></p><ul><li>Generate <b>mood boards, storyboards, and campaign concepts</b></li><li>Ideate and craft prompts for <b>text, image, and video generation</b></li><li>Research and apply <b>latest AI trends &amp; applications</b></li><li>Collaborate with design, marketing, and client teams to execute ideas</li><li>Fine-tune AI outputs for <b>accuracy, creativity, and brand alignment</b></li></ul><p><b>Qualifications (Required):</b></p><ul><li><b>1 year of hands-on experience</b> in AI prompt engineering or creative ideation</li><li>Strong understanding of <b>AI tools and platforms</b> (ChatGPT, MidJourney, Stable Diffusion, Runway, Adobe Firefly, etc.)</li><li>Skilled at <b>prompt crafting, refining, and optimizing</b></li><li>Knowledge of AI applications in <b>marketing, design, content, and automation</b></li><li>Familiarity with <b>creative workflows</b> (storyboards, mood boards, social media calendars, etc.)</li><li>Ability to <b>analyze and refine outputs</b> to meet brand standards</li><li>Good grasp of <b>AI ethics, bias, and copyright considerations</b></li><li>Strong <b>communication and collaboration skills</b></li><li>Problem-solving ability and <b>lots of common sense</b></li><li><b>SOFTWARE ENGINEER PREFERRED </b></li><li><b>KNOWLDGE OF MAKING APPS FROM SCRATCH</b></li><li><b>AI ENGINEER LANGUAGE GPT</b></li></ul><p><b>Bonus Skills:</b></p><ul><li>Basic <b>coding or API knowledge</b> to integrate AI tools into workflows</li></ul><p><b>Important:</b> This is <b>not</b> a Graphic Designer or UI/UX Designer role.</p><p><b>Contract &amp; Salary:</b></p><ul><li>2 Years | Full-Time | 6-Day Week</li><li><b>Salary: AED 4,000 per month</b></li></ul><p>Job Type: Full-time</p><p>Pay: AED4,000.00 - AED4,100.00 per month</p>

AI engineer with prompt specialization

NorthBay Solutions

<div><p><b>Job Title: Senior QA Engineer &ndash; AI Platform Testing</b><br>
<b>Location:</b> Abu Dhabi (Onsite)<br>
<b>Experience:</b> 7+ Years<br>
<b>Company:</b> NorthBay Solutions<br>
<br>
<b>Note:</b> This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.</p><p></p><p><b>
About the Role:</b><br>
NorthBay Solutions is looking for a <b>Senior</b> <b>QA Engineer</b> with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations.</p></li><li><p>
Develop and maintain automated test scripts using <b>Java-based frameworks</b> (e.g., Selenium, TestNG, or similar).</p></li><li><p>
Conduct manual and exploratory testing for AI model outputs and user workflows.</p></li><li><p>
Validate training datasets, detect anomalies, and evaluate model-generated content.</p></li><li><p>
Log and track defects with comprehensive documentation using bug tracking tools.</p></li><li><p>
Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria.</p></li><li><p>
Contribute to regression testing cycles and final release validations.</p></li></ul><p></p><p><b>
Required Skills &amp; Qualifications:</b></p><ul><li><p>
7+ years of professional experience in QA or software testing.</p></li><li><p>
Proven experience in <b>QA automation using Java</b>.</p></li><li><p>
Solid understanding of Agile methodologies, QA processes, and test lifecycle management.</p></li><li><p>
Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps).</p></li><li><p>
Strong experience with API testing tools such as Postman.</p></li><li><p>
Excellent analytical skills and attention to detail.</p></li><li><p><b>
Preferred (Nice to Have):</b></p><ul><li><p>
Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems.</p></li><li><p>
Experience validating training data quality and evaluating model behavior in production environments.</p></li></ul></li></ul><p>
</p><p>NeRdeaBDIB</p></div>

Senior QA Engineer – AI Platform Testing

<div><div><b>Senior AI Engineer, Quantitative Strategies</b></div>
<div></div>
<div>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers real-time trading performance&mdash;even under extreme market volatility&mdash;powered by advanced automation and AI-driven tools, including our 300 SPARTANS trading bots. With cutting-edge machine learning, a user-first design, and transparent risk management, we are on a mission to redefine how traders navigate the fast-moving world of digital assets.</div>
<div></div>
<div><b>Job Overview</b><br>
</div>
<div>We are seeking a Senior AI Engineer, Quantitative Strategies to help pioneer a next-generation, self-evolving AI pipeline for trading strategy creation. This role goes beyond traditional engineering&mdash;you will architect an autonomous system that can generate, test, and refine its own strategies using the latest in large language models (LLMs) such as Gemini, ChatGPT, and Claude. If you are excited by the idea of making AI a true creative partner in quantitative trading, this is your chance to help shape the future of the industry.</div>
<div></div>
<div><b>Key Responsibilities</b></div>
<ul><li><div>Architect from the ground up an autonomous strategy generation and evaluation pipeline, making key technical decisions that will define its future</div>
</li><li><div>Integrate and fine-tune cutting-edge LLMs to generate novel, testable trading hypotheses</div>
</li><li><div>Build closed-loop feedback systems to automate backtesting, analyze performance, and iteratively improve AI-generated strategies</div>
</li><li><div>Act as a bridge between quantitative research and AI engineering, working closely with traders and analysts to translate market insights into machine-executable strategies</div>
</li><li><div>Ensure scalability, performance, and robustness of all deployed systems</div>
</li>
</ul><div></div><div><b>Candidate Requirements</b></div>
<ul><li><div>Advanced degree (Master's or Ph.D.) in Financial Engineering, Computer Science, Industrial Engineering, or a related quantitative field</div>
</li><li><div>3+ years of hands-on experience in quantitative or software engineering roles, ideally within trading, fintech, or financial markets</div>
</li><li><div>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (PyTorch, TensorFlow, or JAX)</div>
</li><li><div>Solid knowledge of deep learning, reinforcement learning, and optimization techniques</div>
</li><li><div>Experience with LLM APIs, prompt engineering, and preferably fine-tuning</div>
</li><li><div>Strong software engineering fundamentals, including Git, testing, and deployment workflows</div>
</li><li><div>Deep understanding of financial markets, statistical analysis, and strategy development principles</div>
</li></ul><div></div><div><b>Preferred Qualifications</b></div>
<ul><li><div>Proven track record of developing and executing trading strategies in live markets</div>
</li><li><div>Recognition in quantitative competitions (e.g., Kaggle, Quantopian)</div>
</li><li><div>GitHub or portfolio demonstrating complex, data-driven projects</div>
</li><li><div>Experience with reinforcement learning or other adaptive systems</div>
</li><li><div>A strong intellectual curiosity and drive to push technological boundaries</div>
</li>
</ul><div></div><div><b>Why Join OneBullEx?</b></div>
<ul><li><div>Early Impact &ndash; Be part of the founding team shaping a revolutionary AI-driven trading ecosystem</div>
</li><li><div>Innovation at Scale &ndash; Work with cutting-edge AI, LLMs, and financial technology in a high-growth startup</div>
</li><li><div>Global Ambition &ndash; Contribute to a platform with plans for rapid international expansion</div>
</li><li><div>Competitive Package &ndash; Attractive salary, performance-based incentives, and relocation support to Dubai</div></li></ul></div><div></div>

Senior AI Engineer, Quantitative Strategies

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