ai engineer

App Innovation Technologies

Job Description &ndash; ML/AI EngineerPosition: ML/AI Engineer Location: Coimbatore Experience: 0&ndash;1 Year Salary: ₹15,000 &ndash; ₹25,000 per month Job Type: Full-TimeAbout the RoleWe are looking for a passionate and enthusiastic ML/AI Engineer to join our growing team. This is an excellent opportunity for fresh graduates and candidates with up to one year of experience who are eager to build innovative AI-powered applications and work on real-time Machine Learning projects.Roles &amp; Responsibilities<ul><li>Develop, train, and deploy Machine Learning and AI models.</li><li>Collect, clean, and preprocess datasets for model training.</li><li>Build predictive models using Machine Learning algorithms.</li><li>Work with Python and popular ML libraries such as Scikit-learn, TensorFlow, or PyTorch.</li><li>Collaborate with software developers to integrate AI models into applications.</li><li>Evaluate and improve model accuracy, performance, and scalability.</li><li>Perform data analysis and visualization to derive meaningful insights.</li><li>Research and implement the latest AI/ML techniques and technologies.</li><li>Document model development, testing, and deployment processes.</li></ul>Required Skills<ul><li>Strong knowledge of Python programming.</li><li>Basic understanding of Machine Learning and Artificial Intelligence concepts.</li><li>Familiarity with data preprocessing and feature engineering.</li><li>Knowledge of NumPy, Pandas, Matplotlib, and Scikit-learn.</li><li>Exposure to TensorFlow, Keras, or PyTorch is an added advantage.</li><li>Understanding of SQL and database concepts.</li><li>Basic knowledge of statistics and data analysis.</li><li>Good problem-solving and analytical thinking skills.</li><li>Strong communication and teamwork abilities.</li></ul>Eligibility<ul><li>Any Bachelor's Degree.</li><li>Freshers or candidates with 0&ndash;1 year of relevant experience are welcome to apply.</li><li>Candidates with knowledge of AI, Machine Learning, Python, or Data Science concepts will be preferred.</li></ul>Preferred Skills<ul><li>Knowledge of Generative AI or Large Language Models (LLMs).</li><li>Knowledge of NLP or Computer Vision projects.</li><li>Familiarity with Git/GitHub and REST APIs.</li><li>Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.</li></ul>Pay: ₹15,000.00 - ₹25,000.00 per monthWork Location: In person

AI Engineer

StaffHost digital

<div>
 
 
 AI Engineer | London (Hybrid &ndash; 2 Days per Week) | Equity Available
 
 
 
 
 
 
 We're partnering with an exceptionally well-funded AI startup that is entering a pivotal stage of growth and innovation. Having successfully secured significant venture backing and built strategic relationships with some of the biggest names in AI, including Anthropic and OpenAI, they're now scaling their engineering team to help shape the next generation of AI-powered products.
 
 
 If you've previously experienced the rapid growth of a startup moving from Seed to Series A or Series A to Series B funding, you'll understand the pace, ownership, and impact that comes with this environment.
 
 
 
 
 
 
 The Opportunity
 
 
 
 As an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that directly impact thousands of users. You'll work across the full lifecycle, from experimentation and prototyping through to deployment and optimisation, helping turn the latest AI advancements into real-world products.
 
 
 You'll be given the freedom to test new ideas, challenge existing approaches, and contribute to product strategy in a highly collaborative environment where speed and innovation are valued.
 
 
 
 
 
 
 What You'll Be Working On
 
 
 <ul>
 <li>
 Building and deploying AI-powered products and intelligent agent workflows
 </li>
 <li>
 Developing and optimising LLM applications for production environments
 </li>
 <li>
 Designing agentic systems capable of complex reasoning and task execution
 </li>
 <li>
 Experimenting with prompt engineering, context management, evaluation frameworks, and model orchestration
 </li>
 <li>
 Running user experiments and A/B testing to improve model performance and user experience
 </li>
 <li>
 Working closely with Product and Engineering teams to rapidly ship new features
 </li>
 <li>
 Exploring and implementing the latest advancements from OpenAI, Anthropic, and the wider AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Tech Stack &amp; Experience
 
 
 
 Key technologies include:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript / JavaScript
 </li>
 <li>
 LangGraph
 </li>
 <li>
 LangChain
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Anthropic APIs
 </li>
 <li>
 Vector Databases
 </li>
 <li>
 RAG Architectures
 </li>
 <li>
 Agentic AI Frameworks
 </li>
 <li>
 LLM Evaluation &amp; Observability Tools
 </li>
 <li>
 React (desirable)
 </li>
 <li>
 Cloud Platforms (AWS, GCP or Azure)
 </li>
 </ul>
 
 
 
 
 
 We're Looking For People Who
 
 
 <ul>
 <li>
 Have 4+ years&rsquo; experience building and deploying AI applications into production
 </li>
 <li>
 Have worked with LLMs, AI agents, RAG systems, or generative AI products
 </li>
 <li>
 Thrive in fast-paced startup environments
 </li>
 <li>
 Enjoy solving complex technical challenges with a product-first mindset
 </li>
 <li>
 Are comfortable working with ambiguity and taking ownership
 </li>
 <li>
 Have experience in a high-growth startup that has scaled through Seed &rarr; Series A or Series A &rarr; Series B funding
 </li>
 <li>
 Are passionate about the future of AI and excited by the pace of innovation in the market
 </li>
 </ul>
 
 
 
 
 
 Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.
 
 
</div>

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
 </li>
 <li>
 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
 </li>
 <li>
 
 Innovation &amp; Continuous Learning:
 
 </li>
 <li>
 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

Bold Company

<div>
 
 Als AI Engineer maak je deel uit van een centraal AI-team waar innovatie, experimenteren en technologische vooruitgang centraal staan. Je werkt nauw samen met developers, data scientists en business analisten om vraagstukken helder te krijgen en deze te vertalen naar schaalbare en intelligente AI-oplossingen. Denk hierbij aan toepassingen met large language models, machine learning en andere moderne AI-technologie&euml;n.
 
 
 In deze rol ben je verantwoordelijk voor het ontwerpen, ontwikkelen en implementeren van geavanceerde softwareoplossingen. Je denkt creatief mee, bouwt proof of concepts, optimaliseert deze en zorgt voor een zorgvuldige overdracht naar de ontwikkelteams waar de oplossing verder wordt uitgerold. Kwaliteit, performance en betrouwbaarheid staan hierbij centraal. Je krijgt veel ruimte om te werken met de nieuwste AI-ontwikkelingen en actief bij te dragen aan innovatieve toepassingen voor klanten.
 
 
 
 
 
 
 Organisatie
 
 
 
 Voor een snelgroeiende en ambitieuze organisatie in regio Amsterdam zijn wij op zoek naar een Medior AI Engineer. De organisatie kenmerkt zich door een ondernemende en informele cultuur waarin samenwerking, innovatie en persoonlijke ontwikkeling vooropstaan. Binnen het bedrijf is een gespecialiseerd AI-team opgezet dat werkt aan uiteenlopende use cases die breed binnen de organisatie worden toegepast.
 
 
 Je komt terecht in een omgeving waar ambitie wordt aangemoedigd en waar ruimte is om grenzen te verleggen. Samenwerking, scherpte en continue groei vormen belangrijke pijlers binnen deze organisatie.
 
 
 
 
 
 
 Functie-eisen
 
 
 <ul>
 <li>
 Ervaring met het opzetten en implementeren van multi-agent architecturen;
 </li>
 <li>
 Ervaring met het toepassen van RAG-architecturen (Retrieval Augmented Generation);
 </li>
 <li>
 Ervaring met AI-technologie&euml;n zoals machine learning, deep learning, NLP of computer vision;
 </li>
 <li>
 Je hebt kennis van verschillende LLM-architecturen en begrijpt de voor- en nadelen van diverse AI-oplossingen;
 </li>
 <li>
 Ervaring met programmeertalen zoals Python, R, C# of vergelijkbaar, inclusief ervaring met CI/CD-processen;
 </li>
 <li>
 Je bent bekend met werken binnen een Agile/Scrum-omgeving;
 </li>
 <li>
 Ervaring met Azure is een pr&eacute;;
 </li>
 <li>
 Goede communicatieve vaardigheden en een sterke teamgerichte instelling.
 </li>
 </ul>
 
 
 
 
 
 Arbeidsvoorwaarden
 
 
 <ul>
 <li>
 Salaris van &euro;4.000,- tot &euro;7.000,- per maand, afhankelijk van ervaring;
 </li>
 <li>
 8% vakantiegeld;
 </li>
 <li>
 26 vakantiedagen plus 4 extra vrije dagen verspreid over het jaar;
 </li>
 <li>
 Hybride werken met flexibiliteit tussen kantoor en thuis;
 </li>
 <li>
 Laptop en telefoonvergoeding;
 </li>
 <li>
 Thuiswerkvergoeding;
 </li>
 <li>
 Pensioenregeling;
 </li>
 <li>
 Ruimte voor professionele groei en ontwikkeling;
 </li>
 <li>
 Werken binnen een ambitieuze en innovatieve organisatie.
 </li>
 </ul>
 
 
 
 
 
 Meer informatie
 
 
 
 Voor meer informatie of vragen kun je gerust contact opnemen via &phone;️ 088 - 0184 700 of stuur een e-mail naar sander@boldcompany.nl. Ben je zelf niet actief op zoek maar ken je iemand die perfect bij deze rol past? Laat het ons weten, we denken graag mee.
 
</div>

HTC Global Services

<div>
 
 Exciting Opportunity Alert! 🌟 HTC Global Services is hiring
 
 AI Engineer
 
 for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 
 
 
 
 
 HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or similar Agentic AI frameworks.
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Design and develop AI/ML and Generative AI solutions.
 </li>
 <li>
 Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
 </li>
 <li>
 Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
 </li>
 <li>
 Build intelligent recommendation and personalization engines.
 </li>
 <li>
 Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
 </li>
 <li>
 Deploy and manage AI solutions on Azure cloud platforms.
 </li>
 <li>
 Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
 </li>
 <li>
 Ensure model performance, scalability, security, governance, and compliance standards.
 </li>
 </ul>
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Experience building RAG architectures and Vector Databases.
 </li>
 <li>
 Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
 </li>
 <li>
 Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
 </li>
 <li>
 Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
 </li>
 <li>
 Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
 </li>
 <li>
 Familiarity with SQL, Spark, and large-scale data processing.
 </li>
 </ul>
 
 
 
 
 Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 
 
 
 
 
 #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #AIEngineer #LLM #RAG #MCP #fastMCP #Python #LangGraph #LangChain #AzureAI
 
</div>

<div>
 
 Als AI Engineer kom je terecht in een centraal AI-team waar innovatie en experimenteren centraal staan. Je werkt samen met ontwikkelaars, data scientists en business analisten om projectvereisten scherp te krijgen en deze te vertalen naar slimme, schaalbare AI-oplossingen. Denk aan toepassingen met large language models zoals ChatGPT, machine learning en andere moderne AI-technologie&euml;n.
 
 
 Je bent verantwoordelijk voor het ontwerpen, ontwikkelen en implementeren van geavanceerde softwareoplossingen. Je werkt &lsquo;out of the box&rsquo; idee&euml;n uit, bouwt proof of concepts, finetunet deze en zorgt voor een soepele overdracht richting de ontwikkelteams waar de oplossing wordt ge&iuml;mplementeerd. Testen, optimaliseren en kwaliteit waarborgen zijn vanzelfsprekend onderdeel van jouw rol. Je krijgt volop ruimte om met de nieuwste AI-technologie&euml;n te werken en actief mee te denken over innovatieve toepassingen voor klanten.
 
 
 
 
 
 
 Organisatie
 
 
 
 Voor een snelgroeiende en ambitieuze organisatie in regio Rotterdam zijn wij op zoek naar een Medior AI Engineer. Deze organisatie heeft een ondernemende en informele cultuur waarin innovatie, samenwerking en persoonlijke ontwikkeling centraal staan. Binnen het bedrijf is een dedicated AI-team opgezet dat werkt aan uiteenlopende casussen die breed binnen de organisatie worden ingezet.
 
 
 Hier krijg je de kans om mee te bouwen aan toekomstgerichte AI-oplossingen binnen een omgeving die grenzen durft te verleggen. Mensgericht werken, elkaar scherp houden en ambitie tonen zijn belangrijke kernwaarden binnen deze organisatie.
 
 
 
 
 
 
 Functie-eisen
 
 
 <ul>
 <li>
 Ervaring met het implementeren van multi-agentopstellingen;
 </li>
 <li>
 Ervaring met het toepassen van RAG-patronen (Retrieval Augmented Generation);
 </li>
 <li>
 Ervaring met AI-technologie&euml;n zoals machine learning, deep learning, NLP of computer vision;
 </li>
 <li>
 Je hebt ervaring met verschillende LLM-architecturen en begrijpt de sterke en zwakke punten van diverse AI-oplossingen;
 </li>
 <li>
 Ervaring met programmeertalen zoals Python, R, C#, CI/CD of vergelijkbaar;
 </li>
 </ul>
 
 
 
 
 
 Arbeidsvoorwaarden
 
 
 <ul>
 <li>
 Mooi salaris &euro;4.000,- tot &euro;7.000,- per maand;
 </li>
 <li>
 8% vakantiegeld;
 </li>
 <li>
 26 vakantiedagen + 4 extra dagen verspreid over het jaar;
 </li>
 <li>
 Hybride werken (kantoor en thuis);
 </li>
 <li>
 Laptop en telefoonvergoeding;
 </li>
 <li>
 Thuiswerkvergoeding;
 </li>
 <li>
 Pensioenregeling;
 </li>
 <li>
 Ruimte voor groei en ontwikkeling;
 </li>
 <li>
 Werken in een ambitieuze en innovatieve omgeving.
 </li>
 </ul>
 
 
 
 
 
 Meer informatie
 
 
 
 Voor meer informatie of vragen kun je gerust contact opnemen via &phone;️ 088 - 0184 700 of stuur mij een e-mail op sander@boldcompany.nl. Ben je zelf niet op zoek maar ken je iemand die wel op zoek is? Laat het ons weten, wellicht kunnen wij van dienst zijn!
 
</div>

JD Sports Fashion

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 Established in 1981 with a single store in the Northwest of England, the JD Group is a leading omni-channel retailer of Sports Fashion, Outdoors and Gyms with our colleagues working in stores across several retail fascias in many markets around the world. JD Sports Fashion Plc was listed on the London Stock Exchange in 1996 and has been a FTSE100 publicly quoted company since 2019 and continues to grow in the UK and internationally. We want to be the leading global omnichannel retailer in the sports and outdoor industry. To be a part of this successful company and help us to achieve this you will have the desire to ingrain our strategic goals of being a people-led, innovative and customer-focused organisation which provides operational excellence whilst identifying new areas of growth as part of our day to day objectives.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 This role is based out of our Bury office with the expectation that the successful candidate will be in the office 4 days a week
 
 
 
 
 
 
 
 The AI Engineer is responsible for developing, deploying and supporting production-grade AI and generative AI solutions across JD Group. Reporting into the Head of Data Science &amp; AI, the role focuses on hands on engineering delivery of AI systems, including LLM based applications, retrieval augmented generation pipelines and supporting AI services. Working closely with Senior AI Engineers, Senior Data Scientists, Data Engineering, Platform and Product teams, the AI Engineer contributes to the build and operation of scalable, secure and cost effective AI solutions embedded into core business processes. This role sits between Junior and Senior AI Engineer, with increasing accountability for solution delivery, production readiness and technical decision making within defined problem areas.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 AI Solution Development
 
 </li>
 <li>
 Design, build and support AI and GenAI solutions under the guidance of Senior AI Engineers
 </li>
 <li>
 Develop LLM based applications, RAG pipelines and AI services using established architectures and patterns
 </li>
 <li>
 Implement inference pipelines, APIs and microservices to support AI driven use cases
 </li>
 <li>
 Contribute to technical decisions within defined components or services
 </li>
 <li>
 </li>
 <li>
 
 Production Readiness, LLMOps &amp; MLOps
 
 </li>
 <li>
 Support deployment of AI systems into production environments
 </li>
 <li>
 Implement monitoring, logging and basic observability for AI services
 </li>
 <li>
 Ensure code, configurations and pipelines are version controlled, tested and documented
 </li>
 <li>
 Follow established LLMOps, MLOps and CI/CD standards and practices
 </li>
 <li>
 Assist with performance optimisation, cost management and reliability improvements
 </li>
 <li>
 </li>
 <li>
 
 Governance, Risk &amp; Responsible AI
 
 </li>
 <li>
 Build AI systems in line with responsible AI principles, security and data protection requirements
 </li>
 <li>
 Support model evaluation, testing and quality assurance activities
 </li>
 <li>
 Ensure AI services comply with agreed governance, auditability and risk controls
 </li>
 <li>
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement
 
 </li>
 <li>
 Work closely with Senior Data Scientists to support productionisation of AI driven analytical and decisioning solutions
 </li>
 <li>
 Collaborate with Data Engineering, Platform and DevOps teams as part of delivery squads
 </li>
 <li>
 Communicate technical concepts, progress and risks clearly within the delivery team
 </li>
 <li>
 Support Product and Engineering teams in integrating AI capabilities into applications and workflows
 </li>
 <li>
 </li>
 <li>
 
 Learning &amp; Capability Development
 
 </li>
 <li>
 Continuously develop skills in AI engineering, generative AI, cloud platforms and modern engineering practices
 </li>
 <li>
 Learn from Senior AI Engineers through design reviews, code reviews and delivery feedback
 </li>
 <li>
 Contribute to shared components, documentation and reusable assets as capability grows
 </li>
 <li>
 Stay informed on developments in AI tooling and platforms, applying learning where appropriate
 </li>
 </ul>
 <li>
 </li>
 
 
 
 
 
 
 
 Role Objectives &amp; KPIs
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Deliver high quality AI engineering outputs that support production AI solutions
 </li>
 <li>
 Successful contribution to end to end delivery of AI initiatives
 </li>
 <li>
 Reliability, performance and maintainability of AI services owned
 </li>
 <li>
 Adherence to engineering, security and governance standards
 </li>
 <li>
 Positive feedback from Senior AI Engineers and delivery stakeholders
 </li>
 <li>
 Demonstrated progression in technical capability, autonomy and delivery ownership
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 2-3 years experience in AI Engineering, ML Engineering or Software Engineering roles
 </li>
 <li>
 Practical experience building and supporting AI or ML driven applications
 </li>
 <li>
 Good Python skills and experience developing backend services or pipelines
 </li>
 <li>
 Understanding of LLMs, generative AI concepts and RAG patterns
 </li>
 <li>
 Experience working with cloud platforms, with GCP preferred
 </li>
 <li>
 Familiarity with CI/CD, version control and modern engineering practices
 </li>
 <li>
 Ability to work collaboratively in cross functional teams
 </li>
 <li>
 Experience in large scale, multi brand, or global enterprises; retail experience is advantageous
 </li>
 <li>
 Curious, delivery focused and keen to learn
 </li>
 </ul>
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 
 
 
 We know our colleagues work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits including staff Discount On JD Group and other brands within the organisation and personal development opportunities to learn and develop at work.
 
 
 
</div>

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