Cookpad Ltd

ABOUT COOKPAD Cookpad is a tech company building a community platform that enables people to share recipe ideas and cooking tips. It’s a global platform used by on average around 100 million people every month across the world. Over 4 million recipes have been created by people in almost 70 countries. And we’re only just getting started. Our mission is to make everyday cooking fun. Because we believe that cooking is the key to a happier and healthier life for people, communities and the planet. The choices we make shape our world. And when we cook, the choices we make have an impact on ourselves, the people we cook for, the growers and producers we buy from and the wider environment. Cookpad is growing at speed and we’re looking for exceptional people who make things happen. It takes a certain mix of creativity, ingenuity to create solutions on the scale we're looking for. We challenge ourselves and each other because this is about something bigger than all of us. Expect talented, motivated, and interesting colleagues. Cookpad is one of Japan's best known tech companies, listed on the Tokyo Stock Exchange, and was already highly successful before launching globally in 2013. With strong backing we have spent the last few years building the global platform and we are now in our commercialisation phase of the business. Take a look at this article to learn more about Cookpad and our Medium blog to see what it is like to work at Cookpad. Visit www.cookpadteam.com to find out more.

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📍 London, England, United Kingdom, United States, Tokyo, Japan, Australia

🧭 Contract

🔍 Food Tech

  • 7+ years experience, including 3+ years in AI/ML and Generative AI.
  • Proven track record in designing, developing, and deploying customer-facing Generative AI solutions.
  • Strong Python programming skills, with expertise in software design and optimization.
  • Hands-on experience in MLOps pipelines, AWS cloud services, and DevOps practices.
  • Proficiency in agentic and multi-agent AI systems, enabling autonomous reasoning, decision-making, and collaboration between AI agents.
  • Experience with agentic LLM frameworks (E.g. LangChain, LlamaIndex, Crewai) for enhancing AI-driven workflows.
  • Deep expertise in AWS services (SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3).
  • Proficiency in containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
  • Strong understanding of scalable, secure, and high-performance AI deployment strategies.
  • Translate AI requirements into scalable, enterprise-grade architectures.
  • Design and implement Generative AI solutions, including LLMs, RAG pipelines.
  • Architect and deploy AI/ML solutions using AWS services such as SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, and S3.
  • Ensure AI models and solutions meet security, privacy, and compliance standards.
  • Define and implement best practices for AI model deployment, orchestration, and monitoring.
  • Stay updated with the latest advancements in AI and related technologies and apply them to improve existing solutions.
  • Design, develop, and deploy Generative AI models for text, image, and conversational applications.
  • Oversee the development and deployment of intelligent bots, ensuring they meet functional and performance requirements.
  • Utilize MLOps pipelines to streamline model training, evaluation, and deployment in production.
  • Implement and optimize vector databases (e.g., Pinecone, FAISS) for efficient AI retrieval and storage.
  • Work with agentic LLM frameworks such as Langchain and LlamaIndex to enhance AI capabilities.
  • Leverage AWS AI/ML services (EC2, S3, Lambda, SageMaker, RDS, Redshift) for scalable deployment of AI solutions.
  • Utilize containerization technologies (Docker, Kubernetes) and CI/CD pipelines for machine learning model deployment.
  • Design and implement AWS-based deployment strategies, ensuring scalability, security, and performance optimization.

AWSDockerPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingDynamoDBKubernetesMachine LearningSoftware ArchitectureAlgorithmsAmazon Web ServicesData StructuresRDBMSREST APICI/CDDevOpsNodeJS

Posted about 7 hours ago
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