ai integration engineer

Houseful

<div><p><b><i>6 months Initial Contract - Must work from the UK</i></b></p><p>
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.</p><p>
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.</p><p>
This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.</p>
The Role<p>
We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.</p><p>
You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:</p><ul><li>Automate high-volume, manual administrative workflows</li><li>Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Turn the Mission Control data platform into an engine for event-triggered automation</li><li>Reduce operational overhead and improve reporting speed and accuracy</li></ul>
Core ResponsibilitiesAutomation Build &amp; Integration<ul><li>Build and maintain automation pipelines using n8n, Zapier/Make and direct LLM API integrations (OpenAI/Anthropic)</li><li>Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Implement workflows such as ticket summarisation, tagging, routing and AI triage</li></ul>
AI Engineering<ul><li>Design and implement RAG pipelines and vector database integrations over internal knowledge</li><li>Develop, test and version prompts; evaluate and improve output quality</li><li>Build event-triggered automations and AI-enabled reporting on Mission Control</li></ul>
Quality, Security &amp; Handover<ul><li>Apply sound engineering standards: error handling, logging and monitoring of automations in production</li><li>Ensure GDPR-compliant, secure handling of customer and company data</li><li>Document solutions clearly and hand over to internal teams for ongoing operation</li></ul>
What Success Looks Like (First 6 Months)<ul><li>Priority automation workflows live, stable and monitored in production</li><li>Measurable reduction in manual effort in targeted workflows</li><li>Reliable integrations across the core systems stack</li><li>Clear documentation enabling internal teams to operate and extend what you build</li></ul>
Required ExperienceTechnical<ul><li>Proven delivery of LLM-based automation in production environments</li><li>Strong experience with automation platforms (n8n, Make or Zapier)</li><li>Proficiency in Python and SQL</li><li>Strong API and webhook integration capability</li><li>Experience working with OpenAI/Anthropic APIs and prompt engineering</li><li>Experience building RAG pipelines and working with vector databases</li><li>Experience automating CRM (Salesforce) and support (Zendesk) environments preferred</li></ul>
Delivery<ul><li>Experience operating in B2B SaaS or similar fast-moving environments</li><li>Track record of delivering as a contractor: scoping, building and handing over cleanly</li><li>Comfortable working with non-technical stakeholders to refine requirements</li></ul>
Personal Attributes<ul><li>Delivery-focused and pragmatic</li><li>High agency and accountability</li><li>Structured, with strong attention to reliability and security</li><li>Comfortable working in ambiguity</li><li>Clear communicator with technical and non-technical audiences</li></ul>
Why This Role Matters<p>
AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.</p></div>

AI Engineer (Contract)

VERSA Integrated Solutions

<p>Position: Data Engineer</p><p>Department: Federal Programs</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.</p><p>The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.</p><p>Position Objectives</p><p>The Data Engineer will:</p><ul><li>Design enterprise data pipelines.&bull; Integrate structured and unstructured data sources.&bull; Support cloud data modernization initiatives.&bull; Improve enterprise data quality.&bull; Enable analytics and AI initiatives.&bull; Automate data processing workflows.</li></ul><p>Major Duties &amp; Responsibilities</p><p>Data Pipeline Development</p><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines.&bull; Integrate internal and external data sources.&bull; Automate ingestion, transformation, and validation processes.&bull; Optimize data movement across enterprise platforms.&bull; Monitor pipeline performance and reliability.</li></ul><p>Cloud Data Engineering</p><p>Support enterprise cloud platforms including:</p><ul><li>Azure Data Factory&bull; Azure Synapse Analytics&bull; Azure Data Lake&bull; Microsoft Fabric&bull; AWS Glue&bull; AWS Redshift&bull; Databricks</li></ul><p>Develop cloud-native data integration solutions supporting modernization initiatives.</p><p>Data Integration</p><ul><li>Develop APIs supporting enterprise integrations.&bull; Process structured, semi-structured, and unstructured data.&bull; Build real-time and batch processing solutions.&bull; Support streaming technologies such as Apache Kafka and Azure Event Hub.</li></ul><p>Data Quality</p><ul><li>Validate incoming datasets.&bull; Develop automated quality checks.&bull; Monitor completeness and accuracy.&bull; Resolve data anomalies.&bull; Implement data lineage and audit capabilities.</li></ul><p>Analytics Support</p><p>Provide data services supporting:</p><ul><li>Power BI&bull; Tableau&bull; AI/ML models&bull; Executive dashboards&bull; Predictive analytics&bull; Operational reporting</li></ul><p>DevSecOps</p><p>Collaborate with engineering teams to:</p><ul><li>Automate deployments&bull; Implement Infrastructure as Code&bull; Support CI/CD pipelines&bull; Improve monitoring and observability&bull; Secure enterprise data environments</li></ul><p>Required Technical Skills</p><p>Languages</p><ul><li>Python&bull; SQL&bull; Spark&bull; PySpark&bull; PowerShell</li></ul><p>Cloud</p><ul><li>Azure&bull; Azure Data Factory&bull; Azure Synapse&bull; Azure SQL&bull; Azure Storage&bull; Microsoft Fabric</li></ul><p>Databases</p><ul><li>SQL Server&bull; PostgreSQL&bull; Oracle&bull; Snowflake&bull; Databricks</li></ul><p>Tools</p><ul><li>Git&bull; GitHub&bull; Azure DevOps&bull; Terraform&bull; Docker&bull; Kubernetes</li></ul><p>Preferred Skills</p><ul><li>Apache Kafka&bull; Azure Event Hub&bull; REST APIs&bull; JSON/XML&bull; Delta Lake&bull; Data Lakehouse Architecture&bull; AI data preparation&bull; MLOps</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related discipline.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>SQL development&bull; Python programming&bull; ETL fundamentals&bull; Database experience</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Cloud data engineering&bull; Azure or AWS experience&bull; Production ETL development&bull; API integration</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Enterprise cloud modernization&bull; Data platform leadership&bull; Performance optimization&bull; Mentoring junior engineers</li></ul><p>SME (15+ Years)</p><ul><li>Enterprise Data Engineering strategy&bull; Federal modernization leadership&bull; AI-enabled data platforms&bull; Large-scale cloud migration</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure Data Engineer Associate&bull; Databricks Certified Data Engineer&bull; AWS Certified Data Engineer&bull; SnowPro Core&bull; ITIL&reg; Foundation</li></ul><p>Desired Federal Experience</p><p>Experience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.</p><p>Security Clearance</p><p>Ability to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.</p><p>Why Join VERSA?</p><p>Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.</p><p>Pay: $120,000.00 - $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

Data Engineer

VWorker Solutions India Pvt Ltd

<p><b>Profile</b>: <b>Senior Azure Data Engineer</b></p><p><b>Skills</b>: Azure,Django and python and Building ETL pipelines Azure Fabric ,Snowflake ,AI</p><p><b>Experience</b>: <b>7+ Years</b></p><p><b>Working Hours</b>: 3&ndash;4 hours per day (Between 7 PM IST to 1 AM IST) or (6 AM IST To 11 AM IST)</p><p><b>Working Days</b>: Monday To Friday</p><p><b>Location</b>: Remote</p><p><b>Job Summary</b></p><p>We are seeking an experienced Azure Data Engineer with strong expertise in Python, Django, Azure Fabric, Snowflake, ETL Pipelines, and AI-driven data solutions. The ideal candidate will design, develop, and optimize scalable data platforms, build robust ETL/ELT pipelines, integrate enterprise data sources, and leverage AI technologies to deliver intelligent analytics and automation solutions.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines.</li><li>Build and optimize data solutions using Microsoft Fabric and Azure services.</li><li>Develop backend applications and APIs using Python and Django.</li><li>Design and manage enterprise data warehouses using Snowflake.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Develop AI-powered data workflows utilizing Azure AI services and Machine Learning.</li><li>Create data transformation processes ensuring high data quality and governance.</li><li>Optimize pipeline performance, scalability, and cost efficiency.</li><li>Implement CI/CD pipelines for data engineering solutions.</li><li>Monitor data pipelines, troubleshoot failures, and ensure high availability.</li><li>Collaborate with Data Scientists, BI Developers, and business stakeholders.</li><li>Implement security, compliance, and governance best practices.</li><li>Prepare technical documentation and deployment guides.</li></ul><p><b>Required Skills</b></p><p>Cloud &amp; Data Engineering</p><p>Microsoft Azure</p><p>Microsoft Fabric</p><p>Azure Data Factory (ADF)</p><p>Azure Synapse Analytics</p><p>Azure Data Lake Storage (ADLS)</p><p>Azure Functions</p><p>Azure DevOps</p><p>Programming</p><p>Python</p><p>Django Framework</p><p>REST APIs</p><p>SQL</p><p>PySpark</p><p>Data Warehousing</p><p>Snowflake</p><p>Data Modeling</p><p>Performance Optimization</p><p>ETL &amp; Integration</p><p>ETL/ELT Pipeline Development</p><p>Data Migration</p><p>Data Transformation</p><p>Workflow Automation</p><p>Pipeline Monitoring</p><p>AI &amp; Analytics</p><p>Azure AI Services</p><p>Azure Machine Learning</p><p>Generative AI Integration</p><p>AI-assisted Data Processing</p><p>LLM API Integration (Preferred)</p><p>Databases</p><p>SQL Server</p><p>PostgreSQL</p><p>Snowflake</p><p>Cosmos DB (Preferred)</p><p>DevOps</p><p>Git</p><p>Azure DevOps</p><p>CI/CD Pipelines</p><p>Docker</p><p>Kubernetes (Preferred)</p><p><b>Required Qualifications</b></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.</li><li>5+ years of experience in Data Engineering.</li><li>Strong hands-on experience with Azure cloud services.</li><li>Experience designing enterprise-scale ETL/ELT solutions.</li><li>Expertise in Snowflake Data Warehouse.</li><li>Strong Python and Django development experience.</li><li>Experience with Microsoft Fabric implementation.</li><li>Good understanding of AI/ML integration in data platforms.</li><li>Strong SQL and database optimization skills.</li><li>Excellent problem-solving and analytical abilities.</li></ul><p>Pay: From ₹30,000.00 per month</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Experience:</p><ul><li>Azure: 6 years (Required)</li><li>Azure Fabric: 4 years (Required)</li><li>Snowflake: 4 years (Required)</li><li>AI: 3 years (Required)</li><li>Python: 4 years (Required)</li></ul><p>Work Location: Remote</p>

Azure Data Engineer

Pavilion Recruitment Solutions

<div>
 <p>
  <strong>
   Senior Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Salary - &pound;60,000 - &pound;80,000
  </strong>
 </p>
 <p>
  <strong>
   Surrey/ Hybrid
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for a Senior Data Engineer to join a collaborative team of data engineers, AI engineers, data scientists, developers, analysts, and architects, helping to design and deliver innovative data and AI solutions that support business-critical products and decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to work on a modern cloud-based data platform, building scalable data products while contributing to the evolution of Generative AI capabilities and next-generation analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  As a Senior Data Engineer, you&rsquo;ll play a key role in designing, building and optimising a high-performance data platform that enables data-driven products and AI innovation. Working within cross-functional Agile teams, you&rsquo;ll collaborate with engineers, architects and product managers to solve complex data challenges and deliver scalable, reliable solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build and support enterprise-scale data products on a modern cloud data platform.
  </li>
  <li>
   Deliver robust technical solutions to complex data engineering challenges, including supporting emerging AI and Generative AI use cases.
  </li>
  <li>
   Design, develop and maintain platform components for data ingestion, orchestration, monitoring and performance optimisation.
  </li>
  <li>
   Build scalable batch and real-time data pipelines that enable seamless access to high-quality data.
  </li>
  <li>
   Integrate data from multiple sources, ensuring consistency, quality and adherence to engineering standards.
  </li>
  <li>
   Develop reusable frameworks and best practices for data pipelines across the platform.
  </li>
  <li>
   Collaborate with solution architects to design scalable data products and evaluate new technologies that enhance AI and machine learning capabilities.
  </li>
  <li>
   Work within Agile delivery teams alongside engineers, analysts, developers and product specialists.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About You
  </strong>
 </p>
 <p>
  You&rsquo;ll be an experienced Data Engineer who enjoys solving complex technical problems and building scalable data solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll bring:
 </p>
 <ul>
  <li>
   Strong experience designing and developing modern cloud-based data platforms.
  </li>
  <li>
   Hands-on experience with cloud data warehouse technologies such as
   <strong>
    Databricks
   </strong>
   or
   <strong>
    Snowflake
   </strong>
   , ideally within an
   <strong>
    AWS
   </strong>
   environment but not essential.
  </li>
  <li>
   Excellent
   <strong>
    Python
   </strong>
   development skills, with strong knowledge of the Python data ecosystem including
   <strong>
    Apache Spark
   </strong>
   and
   <strong>
    Apache Airflow
   </strong>
   .
  </li>
  <li>
   Experience building and supporting both batch and streaming data integration pipelines.
  </li>
  <li>
   Strong understanding of data ingestion, transformation, cleansing and integration at scale.
  </li>
  <li>
   Experience implementing CI/CD pipelines using tools such as
   <strong>
    Git
   </strong>
   ,
   <strong>
    Jenkins
   </strong>
   , or equivalent.
  </li>
  <li>
   A collaborative approach with excellent communication and stakeholder engagement skills.
  </li>
  <li>
   A genuine passion for building high-quality, scalable data platforms.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s on Offer
  </strong>
 </p>
 <ul>
  <li>
   Opportunity to work on cutting-edge AI, machine learning and modern data engineering initiatives.
  </li>
  <li>
   Collaborative environment with experienced engineers, architects and data scientists.
  </li>
  <li>
   Modern cloud technology stack and a strong engineering culture.
  </li>
  <li>
   Exposure to innovative technologies and the freedom to evaluate and introduce new tools.
  </li>
  <li>
   Competitive salary, comprehensive benefits package and flexible hybrid working.
  </li>
  <li>
   Excellent opportunities for technical development and career progression.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;re excited by the opportunity to build scalable data platforms that underpin advanced analytics and AI solutions, please get in touch.
 </p>
 <p>
  <br/>
 </p>
</div>


Senior Data Engineer

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 .</div><p>
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</p><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>
[Expert Level Focus] 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.</li><li>
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-AV3</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>3618</div>
</div><div><div>Job Category</div>
<div>Data Science and Machine Learning</div>
</div><div><div>Posting Date</div>
<div>07/02/2026, 02:40 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>GB-Remote
</div></div>(Remote)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

<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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 AI Software Engineer (f/m/d)
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 Manex AI
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 Software Engineering, Data Science
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 Munich, Germany
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 Posted on Jun 30, 2026
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 <strong>
  AI Software Engineer (f/m/d)
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 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.
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  Your Role
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 As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform "Kosmos" meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.
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 Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.
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  Your Responsibilities
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  <li>
   Direct software and AI application development within customer projects
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   Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development
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   Support technical integration of our platform into customer IT landscapes
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   Learn how production processes, IT infrastructure and AI products intersect
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   Translate customer requirements into technical solutions and specifications
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  Your Profile
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   Degree in Computer Science, Information Systems, or similar
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   0 to 4 years professional experience or internships in software engineering or similar
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   Hands-on experience through projects, ventures, or product development
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   Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond
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   Business-fluent in German and English
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   Based in Munich or willing to relocate, ready to go all-in with us
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  </li>
 </ul>
 <strong>
  What We Offer
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  <li>
   Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers
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   Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions
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   Top-of-market compensation with equity package
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   Develop a best-in-class network (funding, industry, and talent) in Europe and the US
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   A fast-paced environment backed by the world's best investors with the world's leading organizations as customers
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  </li>
 </ul>
 Are you willing to start contributing to European autonomy at scale? Apply now!
 <br/>
 <br/>
 Apply now
 <br/>
 <br/>
 See more open positions at Manex AI
</div>


AI Software Engineer (f/m/d)

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