intelligent systems engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Ontology Design &amp; Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization. This includes collaborating with domain experts to capture real-world concepts and validate that the ontology accurately represents business knowledge.
</p></div><div><p>Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model. This involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability.
</p></div><div><p>Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data.
</p></div><div><p>Validation Rules &amp; Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define and enforce data modelling conventions and business rules so that enterprise data conforms to the ontology's standards and remains interoperable across systems.
</p></div><div><p>Integration with Enterprise Systems: Work closely with software engineers, data architects, and IT teams to integrate the ontology and knowledge graph into the organization's existing data infrastructure and workflows. This includes embedding semantic models in data pipelines, APIs, and databases, so that enterprise applications can produce and consume linked data seamlessly.
</p></div><div><p>Collaboration &amp; Cross-Functional Support: Collaborate with cross-functional teams and stakeholders. For example, partner with AI/ML teams to incorporate the knowledge graph into AI-driven solutions, and team up with business analysts or data stewards to align the semantic models with business needs. You will communicate semantic concepts to non-technical stakeholders, providing training or documentation to ensure adoption of the semantic framework across the organisation.
</p></div><div><p>Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more context-aware responses, or develop mechanisms for AI systems to perform reasoning over the ontologies. This responsibility ensures that semantic data structures enhance AI initiatives (e.g. improving context, disambiguation, and knowledge retrieval in AI workflows).
</p></div><div><p>Standards &amp; Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic data management, promoting a culture of well-structured, semantically-rich data across the enterprise.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Ontology Design &amp; Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar).
</p></div><div><p>Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards
</p></div><div><p>specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.
</p></div><div><p>Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.
</p></div><div><p>Data Modelling &amp; Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology.
</p></div><div><p>Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)
</p></div></div><p>Nice to have
</p><div><div><p>Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data
</p></div><div><p>AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.
</p></div><div><p>Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.
</p></div><div><p>Tools &amp; Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>London, United Kingdom of Great Britain and Northern Ireland
</p></div><p>Req. VR-119923
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>BCM Industry</p>
</div><div><p>03/07/2026
</p></div><div><p>Req. VR-119923</p></div></div></div><p></p>

Semantic AI/ML Architect

Nomia Ltd

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Roles &amp; Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design and implement data pipelines for cleaning and enriching data
  </li>
  <li>
   Be responsible for the data lake
  </li>
  <li>
   Find and curate third-party datasets
  </li>
  <li>
   Prepare data for use in experiments
  </li>
  <li>
   Design and maintain notebooks to measure the quality and completeness of data
  </li>
  <li>
   Understand real-world use cases and translate them into actionable plans
  </li>
  <li>
   Conduct experiments to validate design choices or theories
  </li>
  <li>
   Create, manage, monitor, and maintain data models
  </li>
  <li>
   Design and implement ETL processes
  </li>
  <li>
   Document all aspects of your work
  </li>
  <li>
   Stay abreast of advancements in data engineering and research new software and techniques
  </li>
  <li>
   Participate in code reviews, technical discussions, and cross-functional meetings
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About You
  </strong>
 </p>
 <ul>
  <li>
   3+ years' experience in data engineering
  </li>
  <li>
   Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks
  </li>
  <li>
   Demonstrable experience designing and implementing ETL pipelines
  </li>
  <li>
   Proficient in PostgreSQL and T-SQL
  </li>
  <li>
   Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark
  </li>
  <li>
   Proficient in the use of Python notebooks
  </li>
  <li>
   Experience with event-driven architecture
  </li>
  <li>
   Familiarity with LLMs and prompt engineering
  </li>
  <li>
   Proficient in writing clean, maintainable code and well-documented data pipelines
  </li>
  <li>
   Wide knowledge of different database types and designs
  </li>
  <li>
   Familiarity with data modelling techniques
  </li>
  <li>
   Genuine enthusiasm for learning new ideas and techniques
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   General
  </strong>
 </p>
 <ul>
  <li>
   Ensure compliance with Nomia's data protection and information security policies
  </li>
  <li>
   Hybrid work model &mdash; 3 days per week in office, with flexibility based on training or team needs
  </li>
  <li>
   Promote inclusivity, innovation, and ethical use of AI across the organisation
  </li>
  <li>
   Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Data Engineer

NOMIA

<div><p><b>About the Role</b></p><p>
As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.</p><p></p><p><b>
Roles &amp; Responsibilities</b></p><ul><li><p>
Design and implement data pipelines for cleaning and enriching data</p></li><li><p>
Be responsible for the data lake</p></li><li><p>
Find and curate third-party datasets</p></li><li><p>
Prepare data for use in experiments</p></li><li><p>
Design and maintain notebooks to measure the quality and completeness of data</p></li><li><p>
Understand real-world use cases and translate them into actionable plans</p></li><li><p>
Conduct experiments to validate design choices or theories</p></li><li><p>
Create, manage, monitor, and maintain data models</p></li><li><p>
Design and implement ETL processes</p></li><li><p>
Document all aspects of your work</p></li><li><p>
Stay abreast of advancements in data engineering and research new software and techniques</p></li><li><p>
Participate in code reviews, technical discussions, and cross-functional meetings</p></li></ul><p></p><p><b>
About You</b></p><ul><li><p>
3+ years' experience in data engineering</p></li><li><p>
Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks</p></li><li><p>
Demonstrable experience designing and implementing ETL pipelines</p></li><li><p>
Proficient in PostgreSQL and T-SQL</p></li><li><p>
Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark</p></li><li><p>
Proficient in the use of Python notebooks</p></li><li><p>
Experience with event-driven architecture</p></li><li><p>
Familiarity with LLMs and prompt engineering</p></li><li><p>
Proficient in writing clean, maintainable code and well-documented data pipelines</p></li><li><p>
Wide knowledge of different database types and designs</p></li><li><p>
Familiarity with data modelling techniques</p></li><li><p>
Genuine enthusiasm for learning new ideas and techniques</p></li></ul><p></p><p><b>
General</b></p><ul><li><p>
Ensure compliance with Nomia's data protection and information security policies</p></li><li><p>
Hybrid work model &mdash; 3 days per week in office, with flexibility based on training or team needs</p></li><li><p>
Promote inclusivity, innovation, and ethical use of AI across the organisation</p></li><li><p>
Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves</p></li></ul></div>

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p><b><i>Engineer the future of global finance. At Citi, our Tech team doesn&rsquo;t just support finance &ndash; we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.</i></b></p>
<p></p><p>Citi is looking for a highly skilled and innovative Full Stack Engineer with a strong background in modern enterprise architecture and a passion for Artificial Intelligence. This role will be instrumental in designing, developing, and implementing robust, scalable, and AI-enabled solutions across our platforms. The successful candidate will possess deep expertise in Java, Angular, microservices, and event-based architectures, combined with a proven ability to leverage agentic AI to create intelligent agents that solve complex business challenges. This is an exciting opportunity to contribute to Citi's digital transformation by integrating advanced AI capabilities into our core engineering practices.<br>
<br>
</p><h2 class="jobSectionHeader"><b>Key Responsibilities:</b></h2>
<ul><li>Design, develop, and maintain high-performance, scalable, and secure full-stack applications using Java, Angular, microservices, and event-based architectures.</li>
<li>Lead the integration of AI capabilities into existing and new applications, focusing on creating and deploying agentic AI solutions for various business use cases.</li>
<li>Collaborate with data scientists, AI researchers, product managers, and other engineering teams to translate business requirements and AI models into production-ready software.</li>
<li>Architect and implement microservices and event-driven systems that are resilient, fault-tolerant, and performant.</li>
<li>Develop front-end user interfaces using Angular, ensuring an intuitive and responsive user experience.</li>
<li>Contribute to the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and operational support.</li>
<li>Promote and implement best practices in software engineering, including code quality, testing, CI/CD, security, and documentation.</li>
<li>Stay abreast of emerging technologies and trends in full-stack development, AI, and agentic systems, recommending and implementing innovative solutions.</li>
<li>Mentor junior developers and actively participate in code reviews, fostering a culture of technical excellence and continuous learning.
<br>
</li></ul><h2 class="jobSectionHeader"><b>Qualifications / Education:</b></h2>
<ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
<br>
</li></ul><h2 class="jobSectionHeader"><b>Experience:</b></h2>
<ul><li>Significant hands-on experience in full-stack software development.</li>
<li>Proven experience in designing and building scalable, high-performance microservices.</li>
<li>Demonstrated experience with event-driven architectures (e.g., Kafka, RabbitMQ).</li>
<li>Solid experience with modern front-end frameworks, specifically Angular.</li>
<li>Experience with AI technologies, including machine learning, natural language processing, or other AI domains.</li>
<li><b>Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications.</b>
<br>
</li></ul><h2 class="jobSectionHeader"><b>Technical Skills:</b></h2>
<ul><li><b>Languages</b>: Expert proficiency in Java and TypeScript/JavaScript.~
<br>
</li><li><b>Back-end</b>:
<ul><li>Strong expertise in Java development, including Spring Boot, Spring Cloud.</li>
<li>Extensive experience with microservices architecture principles and patterns.</li>
<li>Hands-on experience with message brokers and event streaming platforms (e.g., Apache Kafka, RabbitMQ).</li>
<li>Proficiency with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
<br>
</li></ul></li><li><b>Front-end</b>:
<ul><li>Expertise in Angular framework (versions 2+), including NgRx or other state management patterns.</li>
<li>Strong understanding of HTML5, CSS3, and responsive web design.
<br>
</li></ul></li><li><b>DevOps &amp; Cloud</b>:
<ul><li>Experience with containerization technologies (Docker) and orchestration (Kubernetes).</li>
<li>Proficiency with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, GCP) and their relevant services.
<br>
</li></ul></li><li><b>AI/ML</b>:
<ul><li>Familiarity with AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, LangChain, LlamaIndex).</li>
<li><b>Direct experience in developing, integrating, and deploying agentic AI systems.</b>
<br>
</li></ul></li></ul><h2 class="jobSectionHeader"><b>Leadership &amp; Soft Skills:</b></h2>
<ul><li>Excellent problem-solving, analytical, and critical thinking skills.</li>
<li>Strong communication and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.</li>
<li>Ability to work effectively in a fast-paced, agile, and collaborative team environment.</li>
<li>Proactive, self-motivated, and results-oriented with a strong sense of ownership.
<br>
</li></ul><h2 class="jobSectionHeader"><b>Preferred Qualifications:</b></h2>
<ul><li>Experience in the financial services industry.</li>
<li>Knowledge of domain-driven design and clean architecture principles.</li>
<li>Experience with observability tools (e.g., Prometheus, Grafana, ELK stack).</li>
<li>Contributions to open-source projects or active participation in developer communities.</li>
</ul><p></p><p><b>What we&rsquo;ll provide you:</b></p>
<p>By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:</p>
<ul><li>27 days annual leave (plus bank holidays)</li>
<li>A discretional annual performance related bonus</li>
<li>Private Medical Care &amp; Life Insurance</li>
<li>Employee Assistance Program</li>
<li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul><p></p><p>Visit our Global Benefits page to learn more.</p>
<p>Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.</p>
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Technology
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Applications Development
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Please see the requirements listed above.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

Full Stack Engineer - AI Enabled - Senior Vice President

in-tech group Ltd

<p><b>About the Job</b></p><p>At in-tech, we are working to make mobility more sustainable and more intelligent.</p><p>As a specialist in electronics and software for the past 20 years, in-tech develops innovative solutions for the automotive sector.</p><p>A dynamic and fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 08 countries.</p><p>We are looking for Sr Java Full stack Engineer with strong expertise in Java, Spring Boot, React, and AWS, along with experience building AI/agentic solutions. This role requires someone with strong ownership, technical leadership, and the ability to drive projects end-to-end and work in the client location in London at Hybrid basis.</p><p><b>Key Responsibilities</b></p><ul><li>Lead the design, development, and delivery of scalable full-stack applications using Java, Spring Boot, React, and AWS.</li><li>Own the complete software lifecycle &mdash; from architecture and development to deployment, monitoring, and continuous improvement.</li><li>Build and integrate AI-powered solutions, including LLM-based workflows, autonomous agents, copilots, and orchestration frameworks.</li><li>Design secure, resilient, and high-performance cloud-native systems on AWS.</li><li>Collaborate closely with product managers, designers, architects, and engineering teams to translate business requirements into technical solutions.</li><li>Drive technical best practices, code quality, engineering standards, and system reliability.</li><li>Mentor engineers and contribute to a strong culture of collaboration, accountability, and continuous learning.</li><li>Proactively identify technical risks, bottlenecks, and opportunities for optimization.</li><li>Participate in architectural discussions, technical planning, and strategic technology decisions.</li><li>Implement CI/CD pipelines, observability, testing strategies, and DevOps best practices.</li><li>Stay current with emerging AI technologies, agent frameworks, and modern engineering trends.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>7 - 8 years of software engineering experience with strong full-stack development expertise.</li><li>Strong proficiency in: Java , Spring Boot / Microservices, React.js, REST APIs, AWS cloud services</li><li>Proven experience designing and deploying distributed cloud-native applications.</li><li>Mandatory hands-on experience building AI/LLM-based applications and agentic systems.</li><li>Experience with AI orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.</li><li>Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI integration patterns.</li><li>Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.</li><li>Strong system design and architecture capabilities.</li><li>Ability to independently drive initiatives with end-to-end ownership.</li><li>Excellent problem-solving, communication, and stakeholder management skills.</li><li>Strong collaborator with a proactive, self-driven mindset.</li><li>Willingness to work at client office in London on hybrid basis.</li></ul><p><b>Apply with us</b></p><p>If you have the experience, team spirit and are looking for a great place to work, then start your job with us.</p><p>As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.</p><p>Application question(s):</p><ul><li>Notice Period</li><li>Experience with working AI Frame works and Agents?</li><li>Do you require Visa Sponsorship?</li><li>Are you fine to relocate to London?</li></ul><p>Work Location: Hybrid remote in London</p>

Senior Java Full Stack Engineer (Spring Boot, React, AWS, AI)

Youtube

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; London, UK</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.</li>
<li><div><div><div>8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</div></div></div></li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience collaborating effectively across organizational boundaries, building relationships, and importing and exporting ideas to achieve broad organizational goals.</li>
<li>Experience leading technical strategy and influencing engineering direction across multiple teams.</li>
<li>Experience leading cross-organizational technical programs or initiatives at scale.</li>
<li>Experience with agentic systems and using AI to support production operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems.</li>
<li>Ability to understand complex relationship between the organization and its environment, identify connections, adopt different perspectives and quickly respond to changing circumstances in a strategic way.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services&mdash;both our internally critical and our externally-visible systems&mdash;have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE&rsquo;s will keep an ever-watchful eye on our systems capacity and performance.</p><div>
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you&rsquo;ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.</div><div></div><div><br>
SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.<br>
<br>
<b>To learn more:</b> check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.</div>
<p>
In this role, you will develop, design, and drive technical engineering projects and decisions for Apps, Video and Display (AViD) infrastructure and production systems. You will mentor and lead other executive level engineers within AViD SRE and across Ads to achieve our aligned mission.</p><p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Ensure that Google Ads services within the AViD ecosystem have reliability and uptime appropriate to users' needs with a fast rate of improvement, while keeping an ever-watchful eye on capacity and performance.</li>
<li>Build creative engineering solutions to operations and infrastructure problems, including AI-powered automation and agentic workflows for production operations.</li>
<li>Lead and contribute to the cross-SRE AI Ops program, driving the strategic adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE.</li>
<li>Focus on optimizing existing systems, build infrastructure, and eliminate work through automation and AI-driven operational improvements.</li>
<li>Determine how our systems relate to each other and use a breadth of tools and approaches &mdash; including emerging AI capabilities &mdash; to solve a broad spectrum of problems.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Site Reliability Engineer, AViD, YouTube Ads

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

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