senior electrical engineer

ai engineer

senior mechanical engineer

senior data engineer

senior engineer

senior ai engineer

Dizzaract FZ LLC

<p>01. ABOUT THE COMPANY</p><p><b>Dizzaract</b> is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not theirorigin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.</p><p>02. ABOUT THE ROLE</p><p>We&rsquo;re looking for a <b>Senior AI Engineer</b> to design and ship production AI systems powering GAMED.</p><p>This role focuses on applied AI &mdash; not research for the sake of research. You&rsquo;ll work on recommendation systems, AI-driven moderation, retrieval systems, agentic workflows, ranking systems, and player-facing AI features integrated directly into the product ecosystem.<br/>You&rsquo;ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.</p><p>03. WHO YOU ARE</p><ul><li>You think pragmatically about AI products and infrastructure.</li><li>You care about reliability, evaluation, and production quality.</li><li>You&rsquo;re comfortable building systems from experimentation to deployment.</li><li>You understand both model quality and infrastructure cost.</li><li>You enjoy solving applied ML problems in live environments.</li></ul><p>04. RESPONSIBILITIES</p><ul><li>Design and deploy AI-powered product features.</li><li>Build recommendation, ranking, moderation, and agent systems.</li><li>Develop and optimize RAG pipelines.</li><li>Work with modern LLM ecosystems and open-weight models.</li><li>Design evaluation frameworks and testing pipelines.</li><li>Optimize inference, retrieval, and deployment performance.</li><li>Collaborate closely with backend and infrastructure teams.</li></ul><p>05. REQUIREMENTS</p><ul><li>5+ years in engineering.</li><li>3+ years building applied ML/AI systems in production.</li><li>Strong Python expertise.</li><li>Experience with PyTorch or JAX.</li><li>Experience with LLMs, RAG, and agent systems.</li><li>Experience with vector databases and retrieval systems.</li><li>Understanding of model evaluation and deployment strategies.</li><li>Experience balancing quality, latency, and infrastructure cost.</li></ul><p>06. NICE TO HAVE</p><ul><li>RLHF / DPO / PPO experience.</li><li>Multi-agent systems.</li><li>Recommender systems at scale.</li><li>MLOps tooling.</li><li>AI safety / red-teaming experience.</li></ul><p>07. WHAT WE OFFER</p><ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul><p>Work Location: In person</p>

Senior AI Engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.</p><p>
You will act as a technical pillar within the AI squad&mdash;collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.</p>
Key ResponsibilitiesGenerative &amp; Agentic AI Engineering<ul><li>
Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.</li><li>
Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.</li><li>
Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.</li></ul>
Deep Learning &amp; Model Optimization<ul><li>
Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.</li><li>
Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.</li><li>
Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.</li></ul>
Data &amp; MLOps Infrastructure<ul><li>
Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.</li><li>
Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.</li><li>
Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.</li><li>
Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).</li><li>
Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.</li></ul>
AI, Modeling &amp; Frameworks<ul><li>
Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.</li><li>
Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.</li><li>
A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.</li><li>
High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.</li></ul>
Software Engineering &amp; Core Tools<ul><li>
Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.</li><li>
Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)</li></ul><p></p><p>
It would also be great if you had:</p><br>
<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.</li><li>
Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models).</li><li>
Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Jorofy Private Limited

<p>We are seeking a highly skilled <b>Senior AI Engineer (PhD)</b> to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field, along with extensive industry experience in developing AI-driven products, conducting research, and translating innovative concepts into scalable enterprise solutions.</p><p>The role requires expertise in Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, and MLOps practices.</p><p>Key ResponsibilitiesAI Research &amp; Innovation</p><ul><li>Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.</li><li>Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.</li><li>Publish research findings, technical papers, patents, or contribute to industry thought leadership initiatives.</li><li>Lead proof-of-concept (PoC) development for innovative AI solutions.</li></ul><p>Solution Design &amp; Development</p><ul><li>Architect and develop scalable AI/ML models and intelligent systems.</li><li>Design and optimize Large Language Model (LLM)-based applications and AI agents.</li><li>Build and fine-tune machine learning and deep learning models for production environments.</li><li>Develop AI-powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.</li><li>Integrate AI solutions with enterprise platforms, APIs, and cloud environments.</li></ul><p>Generative AI &amp; LLM Engineering</p><ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures.</li><li>Fine-tune foundation models and implement prompt engineering strategies.</li><li>Design AI agents, autonomous workflows, and conversational AI solutions.</li><li>Implement vector databases and semantic search frameworks.</li><li>Evaluate model performance, accuracy, safety, and responsible AI practices.</li></ul><p>MLOps &amp; Deployment</p><ul><li>Build end-to-end ML pipelines for model training, deployment, monitoring, and maintenance.</li><li>Implement CI/CD processes for AI applications.</li><li>Optimize model performance, scalability, and infrastructure costs.</li><li>Monitor model drift and ensure continuous improvement.</li></ul><p>Leadership &amp; Collaboration</p><ul><li>Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.</li><li>Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.</li><li>Participate in strategic technology planning and AI transformation initiatives.</li><li>Review code, architecture, and technical deliverables to ensure quality standards.</li></ul><p>Required QualificationsEducation</p><ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or a related discipline.</li></ul><p>Experience</p><ul><li>8+ years of experience in AI/ML development, including research and production deployment.</li><li>Proven experience leading AI projects in enterprise environments.</li><li>Experience working with Generative AI, LLMs, and advanced deep learning architectures.</li></ul><p>Technical SkillsProgramming</p><ul><li>Python (Advanced)</li><li>SQL</li><li>Java, C++, or Scala (Preferred)</li></ul><p>AI/ML Frameworks</p><ul><li>PyTorch</li><li>TensorFlow</li><li>Keras</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul><p>Generative AI &amp; LLM Technologies</p><ul><li>OpenAI APIs</li><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>RAG Architectures</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li></ul><p>Cloud Platforms</p><ul><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform (GCP)</li></ul><p>MLOps &amp; DevOps</p><ul><li>Docker</li><li>Kubernetes</li><li>MLflow</li><li>Kubeflow</li><li>Jenkins</li><li>GitHub Actions</li></ul><p>Databases</p><ul><li>PostgreSQL</li><li>MongoDB</li><li>Vector Databases</li></ul><p>Preferred Qualifications</p><ul><li>Publications in reputed journals or AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.).</li><li>Experience in Agentic AI, Autonomous Systems, and Multi-Agent Frameworks.</li><li>Knowledge of AI Governance, Responsible AI, Explainable AI (XAI), and AI Security.</li><li>Industry certifications in Cloud, AI, or Machine Learning technologies.</li></ul><p>Core Competencies</p><ul><li>Strategic Thinking</li><li>Research &amp; Innovation</li><li>Problem Solving</li><li>Leadership &amp; Team Mentoring</li><li>Stakeholder Management</li><li>Communication &amp; Presentation Skills</li><li>Analytical Thinking</li><li>Project Management</li></ul><p>Key Deliverables</p><ul><li>Production-ready AI and Generative AI solutions.</li><li>Scalable machine learning pipelines and architectures.</li><li>AI research initiatives and innovation roadmaps.</li><li>Performance optimization and continuous model improvement.</li><li>Technical mentorship and knowledge-sharing across teams.</li></ul><p><b>Experience Required:</b> 8&ndash;15+ Years<br/><b>Education:</b> PhD (Mandatory)<br/><b>Level:</b> Senior / Lead Individual Contributor or Technical Lead Role.</p><p>Education:</p><ul><li>Master's (Preferred)</li></ul><p>Experience:</p><ul><li>Senior Engineer: 10 years (Required)</li></ul><p>Work Location: In person</p>

Senior AI Engineer (PhD)

Unikie

<div><div><div><div><div><div><h4 class="jobSectionHeader"><b>WE ARE LOOKING FOR</b></h4>
<h4 class="jobSectionHeader"><b>JOB NAME</b></h4>
<p>We are looking for <b>JOB NAME</b> to our #COMPANYAllStars team. You will start your journey either in a selected customer project or in COMPANY&rsquo;s internal product development team, depending on your profile and available opportunities
<br>
<br>
Your future colleagues are waiting for you to join our international team. Working with us is uncomplicated, there&rsquo;s a good team spirit, low-hierarchy and nonexistent bureaucracy. Our way of working is flexible too, many of our team work remotely from home with visits to our office from time to time when needed. This role is equally challenging, and as such we offer a very good compensation.</p>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Skills Required
</b></h4><div><div><div><div><div><h4 class="jobSectionHeader"><b>Locations</b></h4>
</div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><h4 class="jobSectionHeader"><b>REQUIRED QUALIFICATIONS</b></h4>
<p>COMPANY hires embedded system developers for multiple positions and projects, and that is why we have a possibility to be flexible with you and allocate you to the project that matches the best with your background, skills and areas of interest.
<br>
<br>
The common requirements for most of our embedded system positions are strong skills in embedded C/C++ preferably with embedded Linux. You could have worked in low level with microcontrollers and RTOS or you might have focused on drivers, kernel and platform level development. Also experience from Qt, QML and/or QNX is seen as a plus. Or maybe your expertise area is more in application side development, which is okay too!
<br>
<br>
In order to find the right position for you, please introduce yourself to COMPANY's recruitment team and describe your experience and areas of interest. The potential candidates will be invited to an interview for further discussion.</p><br>
</div></div></div></div></div><div><div><div><div>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>WHY JOIN COMPANY_NAME?</b></h2><br>
<br>
<div><div><p>Build new solutions for our customers and work with cutting edge technologies</p><br>
</div><div><p>Collaborate along with colleagues who are the top in their field and together with our customers to strive for understanding what they need</p><br>
</div><div><p>Develop and challenge yourself and learn more from experienced software talents</p><br>
</div><div><p>Work with modern technologies and be involved to solve complex difficult challenges our customers might be facing</p><br>
</div></div><div><div><p>Have an excellent compensation for your work</p><br>
</div><div><p>Work in a global environment that develops modern, secure solutions for pioneers in their field</p><br>
</div><div><p>Work in a flexible low-hierarchy organization that looks after its own</p><br>
</div><div><p>In addition to our customer deliveries, we focus on our own R&amp;D, where you can bring your own expertise to if you want to</p>
</div></div></div><div></div><div><div><p>COMPANY is a pioneering engineering company focused on enabling smart spaces. We bring intelligence and continuous situational awareness to machines, vehicles and infrastructure and offer the best software, data, security and quality engineering to create safer and more productive environments for people and business. Enabled by the technology we create, and the competence we offer, our clients become digital leaders in their own industries. COMPANY consists of over 600 engineering professionals and our revenue in 2022 was 56 million euros.</p></div></div></div></div>

Senior AI Engineer - Agent AI

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
The Senior AI DevOps Engineer is a senior technical leadership position responsible for designing and implementing secure, scalable, and highly compliant cloud architectures across both Azure and AWS for core banking and AI platforms. Operating at the intersection of enterprise architecture and automated platform engineering, this role translates complex business requirements into robust high-level (HLD) and low-level designs (LLD). The successful candidate leads the institution's hybrid-cloud strategy, FinOps optimization, and zero-trust security implementations, ensuring all cloud-native platforms maintain absolute alignment with financial regulations (e.g., PCI-DSS, ISO/IEC 27001) while providing technical mentorship to engineering squads.</p>
You responsibilities within this role include:<ul><li>
Hybrid Cloud Architectural Design: Architect and engineer secure, resilient multi-cloud infrastructures spanning Azure and AWS, creating comprehensive high-level and low-level technical designs.</li><li>
Security, Compliance &amp; Governance: Implement enterprise-grade cloud governance frameworks, enforcing automated compliance-as-code and zero-trust network boundaries to meet strict financial regulatory baselines.</li><li>
FinOps &amp; Resource Optimization: Establish cloud cost-management frameworks and resource optimization strategies to ensure high-performance infrastructure remains cost-effective.</li><li>
CI/CD &amp; Pipeline Governance: Design and secure end-to-end multi-cloud deployment pipelines, embedding automated vulnerability gating, code auditing, and deployment compliance controls.</li><li>
Technical &amp; Stakeholder Leadership: Act as a key technical advisor to senior business units and risk committees, defending architectural decisions and technical risk trade-offs clearly.</li><li>
Engineering Mentorship: Provide technical guidance and mentorship to mid-level engineering and development teams, driving best practices in infrastructure automation, cloud routing, and identity management.</li></ul><p></p><p><br>
Senior leaders at DeepLight are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results.</p>
Coaching<ul><li>
Growing future leaders through mentorship and feedback.</li><li>
Empowering your teams to think independently and learn continuously.</li><li>
Fostering a culture of curiosity, reflection, and resilience.</li></ul>
Management<ul><li>
Aligning strategy with execution and ensuring delivery excellence.</li><li>
Setting clear goals and objectives, driving accountability, and supporting performance.</li><li>
Leading with transparency, integrity, and trust.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
In-depth technical architecture knowledge across both <b>AWS and Azure</b> environments, specifically touching identity ecosystems, serverless workloads, and database engines.</li><li>
Deep practical knowledge of designing architectures that strictly comply with banking standards such as PCI-DSS, ISO/IEC 27001, and local financial regulations.</li><li>
Advanced capability in drafting complex, modular, and reusable enterprise infrastructure templates utilizing tools like Terraform or Bicep.</li><li>
Proficiency in structuring secure network typologies, cloud-native firewalls, private service endpoints, and cross-cloud secure mesh routings.</li><li>
Exceptional capability to articulate abstract technical architectures into concrete business value summaries for senior non-technical leadership.</li><li>
A minimum of 8 years in infrastructure engineering, cloud operations, or systems architecture, with at least 3 years explicitly spent operating as a Senior Engineer or Tech Lead across dual-cloud environments.</li><li>
Documented experience designing and engineering automated infrastructure within a regulated tier-1 or tier-2 banking or insurance institution.</li><li>
A proven track record of authoring, defending, and delivering production-ready High-Level Designs (HLDs) and Low-Level Designs (LLDs) to corporate architecture boards.</li><li>
Experience directing technical workloads, establishing engineering velocity metrics, and upskilling cross-functional platform delivery squads.</li></ul><p></p><p>
It would also be an advantage if you have:</p><ul><li>
High-level certifications such as AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, CISSP, or advanced FinOps credentials.</li><li>
Conceptual or hands-on mastery over enterprise Kubernetes platforms (AKS/EKS), including automated policy engines and workload identity controls.</li><li>
Familiarity with deploying and scaling cloud infrastructure optimized for machine learning data pipelines, model registries, and LLM orchestration layers.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Senior AI DevOps Engineer

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 <br/>
 <br/>
 At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
 <br/>
 <br/>
 The Senior AI DevOps Engineer is a senior technical leadership position responsible for designing and implementing secure, scalable, and highly compliant cloud architectures across both Azure and AWS for core banking and AI platforms. Operating at the intersection of enterprise architecture and automated platform engineering, this role translates complex business requirements into robust high-level (HLD) and low-level designs (LLD). The successful candidate leads the institution's hybrid-cloud strategy, FinOps optimization, and zero-trust security implementations, ensuring all cloud-native platforms maintain absolute alignment with financial regulations (e.g., PCI-DSS, ISO/IEC 27001) while providing technical mentorship to engineering squads.
 <br/>
 <br/>
 <strong>
  You responsibilities within this role include:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hybrid Cloud Architectural Design: Architect and engineer secure, resilient multi-cloud infrastructures spanning Azure and AWS, creating comprehensive high-level and low-level technical designs
  </li>
  <li>
   Security, Compliance &amp; Governance: Implement enterprise-grade cloud governance frameworks, enforcing automated compliance-as-code and zero-trust network boundaries to meet strict financial regulatory baselines
  </li>
  <li>
   FinOps &amp; Resource Optimization: Establish cloud cost-management frameworks and resource optimization strategies to ensure high-performance infrastructure remains cost-effective
  </li>
  <li>
   CI/CD &amp; Pipeline Governance: Design and secure end-to-end multi-cloud deployment pipelines, embedding automated vulnerability gating, code auditing, and deployment compliance controls
  </li>
  <li>
   Technical &amp; Stakeholder Leadership: Act as a key technical advisor to senior business units and risk committees, defending architectural decisions and technical risk trade-offs clearly
  </li>
  <li>
   Engineering Mentorship: Provide technical guidance and mentorship to mid-level engineering and development teams, driving best practices in infrastructure automation, cloud routing, and identity management
   <br/>
   <br/>
  </li>
 </ul>
 Senior leaders at DeepLight are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results.
 <br/>
 <br/>
 <strong>
  Coaching
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Growing future leaders through mentorship and feedback
  </li>
  <li>
   Empowering your teams to think independently and learn continuously
  </li>
  <li>
   Fostering a culture of curiosity, reflection, and resilience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Aligning strategy with execution and ensuring delivery excellence
  </li>
  <li>
   Setting clear goals and objectives, driving accountability, and supporting performance
  </li>
  <li>
   Leading with transparency, integrity, and trust
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  As an AI consultancy, our greatest asset is the expertise of our people.
  <br/>
  <br/>
  While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
  <br/>
  <br/>
  We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
  <br/>
  <br/>
  You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
  <br/>
  <br/>
  If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
  <br/>
  <br/>
 </em>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 We need you to have:
 <br/>
 <br/>
 <ul>
  <li>
   In-depth technical architecture knowledge across both AWS and Azure environments, specifically touching identity ecosystems, serverless workloads, and database engines
  </li>
  <li>
   Deep practical knowledge of designing architectures that strictly comply with banking standards such as PCI-DSS, ISO/IEC 27001, and local financial regulations
  </li>
  <li>
   Advanced capability in drafting complex, modular, and reusable enterprise infrastructure templates utilizing tools like Terraform or Bicep
  </li>
  <li>
   Proficiency in structuring secure network typologies, cloud-native firewalls, private service endpoints, and cross-cloud secure mesh routings
  </li>
  <li>
   Exceptional capability to articulate abstract technical architectures into concrete business value summaries for senior non-technical leadership
  </li>
  <li>
   A minimum of 8 years in infrastructure engineering, cloud operations, or systems architecture, with at least 3 years explicitly spent operating as a Senior Engineer or Tech Lead across dual-cloud environments
  </li>
  <li>
   Documented experience designing and engineering automated infrastructure within a regulated tier-1 or tier-2 banking or insurance institution
  </li>
  <li>
   A proven track record of authoring, defending, and delivering production-ready High-Level Designs (HLDs) and Low-Level Designs (LLDs) to corporate architecture boards
  </li>
  <li>
   Experience directing technical workloads, establishing engineering velocity metrics, and upskilling cross-functional platform delivery squads
   <br/>
   <br/>
  </li>
 </ul>
 It would also be an advantage if you have:
 <br/>
 <br/>
 <ul>
  <li>
   High-level certifications such as AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, CISSP, or advanced FinOps credentials
  </li>
  <li>
   Conceptual or hands-on mastery over enterprise Kubernetes platforms (AKS/EKS), including automated policy engines and workload identity controls
  </li>
  <li>
   Familiarity with deploying and scaling cloud infrastructure optimized for machine learning data pipelines, model registries, and LLM orchestration layers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  The benefits you'll enjoy as part of this role include:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary
  </li>
  <li>
   Comprehensive personal health insurance
  </li>
  <li>
   Visa Sponsorship for the successful individual
  </li>
  <li>
   Professional development and certification support
  </li>
  <li>
   Subscription reimbursement relating to your role
  </li>
  <li>
   Opportunity to work on cutting-edge AI projects
  </li>
  <li>
   Monthly Employee Incentive program
  </li>
  <li>
   Career advancement opportunities in a rapidly growing AI company
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
  <br/>
  <br/>
  At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
  <br/>
  <br/>
 </em>
 <em>
  Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
  <br/>
  <br/>
 </em>
 <em>
  If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.
 </em>
</div>


TechBiz Global GmbH

<div><p>At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.</p><p>
We are currently looking for a dedicated <b>Senior AI Product Engineer</b> to join one of our <b>clients' teams</b>. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.</p><p><b><br>
Key Responsibilities</b></p><ul><li><b>
AI Feature Delivery &amp; Integration</b></li></ul><ul><li>
Lead the end-to-end development of AI-powered features, from initial prototyping to production deployment.</li><li>
Integrate LLMs and ML models into existing web/mobile applications and backend APIs.</li><li>
Design &quot;AI-first&quot; user journeys, ensuring features like autocomplete, summarization, and intelligent search are intuitive and high-performing.</li></ul><p><b>
2. Prompt Engineering &amp; Agentic Workflows</b></p><ul><li>
Craft, test, and optimize complex <b>system prompts</b> to ensure high-quality, safe, and consistent model outputs.</li><li>
Build and manage <b>Agentic workflows</b> (using frameworks like LangChain, CrewAI, or AutoGen) to automate multi-step business processes.</li><li>
Implement robust error-handling and &quot;fallback&quot; logic for non-deterministic AI responses to maintain a seamless UX.</li></ul><p><b>
3. Squad Collaboration (The &quot;Product&quot; Side)</b></p><ul><li>
Act as the AI subject matter expert within your <b>Product Squad</b>, helping PMs understand what is technically feasible vs. what is &quot;AI hype.&quot;</li><li>
Work closely with UX/UI designers to handle AI-specific design challenges (e.g., streaming text latency, &quot;thinking&quot; states, and user feedback loops).</li><li>
Participate in agile ceremonies, contributing to grooming, planning, and rapid iteration.</li></ul><p><b>
4. Hybrid Implementation</b></p><ul><li>
Develop applications that can switch seamlessly between <b>Cloud APIs</b> (for speed/innovation) and <b>On-Premises models</b> (for data privacy and cost-efficiency).</li><li>
Ensure that AI features are performant across different hosting environments without sacrificing user experience.</li></ul><p></p><ul><li><b><br>
8+ years</b> in Full-Stack or Backend Software Engineering.</li><li><b>
3+ years</b> of experience specifically building and shipping AI-integrated features.</li><li>
Proven ability to work in an <b>Agile/Scrum</b> environment within a &quot;Squad&quot; structure.</li><li>
Mastery of <b>Python</b> and/or <b>TypeScript/JavaScript</b> (React/Node.js).</li><li>
Hands-on experience with <b>LangChain, LlamaIndex, or Haystack</b>.</li><li>
Expertise in RESTful APIs, GraphQL, and working with Vector DBs (Pinecone, Weaviate).</li><li>
Familiarity with Docker, Kubernetes, and deploying to AWS/Azure or local GPU environments.</li></ul></div>

Senior AI Product Engineer

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