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About Cookpad
Cookpad is a food tech company dedicated to shaping the future of home cooking and food as a pillar for a sustainable future. At our Bristol headquarters, we have been developing innovative product ideas and we have a new product launch in 5 countries: Japan, Indonesia, UK, France, and Italy.
Moment helps people learn to cook in an innovative way with a personal coaching service. This service is completely based in AI using multimodal (text, vision, audio).
About The Role
Joining Cookpad as an Applied AI Engineer, you will be asked to solve interesting problems associated with turning machine learning models into a service. This will include building functionalities that need to be implemented in order to ensure fully production-ready code.
You will communicate ideas and demos to team members and take ownership of how a feature is productionised, built, and deployed.
You will be highly proficient in coding in Python and have proven hands-on experience in building applications and integrations of modern generative AI models.
It's not for everyone. Because of our speed and growth, it can feel chaotic. We work in a small, collaborative team and in a creative, fast-paced environment. Initially, our focus is small scale production.
The role is based in Bristol on a hybrid working arrangement and we are happy to hear from applicants seeking either full-time contract or permanent employment.
Key Responsibilities
Leverage cutting-edge AI technologies to address real-world customer challenges Collaborate with product teams to translate business and product requirements into technical solutions that leverage the latest in AI technologies Design and implement intelligent AI agents and multi-agent systems capable of autonomous decision-making and interaction, enabling complex workflows and real-time problem-solving Develop agent-based architectures for applications such as task orchestration, adaptive learning, and dynamic data analysis Create and deploy Retrieval-Augmented Generation (RAG) systems to enhance AI model retrieval and contextual response accuracy Evaluate and refine prompt engineering strategies, incorporating advanced techniques to optimize generative model outputs for diverse use cases Requirements
Essential: Solid professional software engineering background Approx. 5+ years industry experience in software development Strong Python skills, including production-level experience Proficiency in modern software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Hands-on experience building applications and integrations with modern generative AI models (e.g., LLMs) Hands-on experience with advanced techniques for optimizing generative model outputs Ability to work effectively both independently and within a team Proven ability to perform in a dynamic, fast-paced environment Strong analytical and problem-solving abilities Desirable: Strong foundation in AI/ML principles, with a focus on Generative AI and Large Language Models (LLMs) Ground understanding of the trade-offs, capabilities, and limitations of different AI models Experience with vector embeddings and working with vector databases (e.g., Pinecone) Experience in integrating data with pre-trained Generative AI models using techniques like RAG and fine-tuning, utilizing tools such as LangChain, LlamaIndex, Hugging Face, AWS Bedrock, or Google Vertex AI Experience with at least one common cloud provider (AWS, GCP, Azure) Knowledge of MLOps/LLMOps practices, including model deployment, serving, and monitoring Familiarity with data engineering principles and managing data pipelines for AI applications What we offer
Flexibility - contract or full-time employment Competitive remuneration Hybrid working and an office location in Bristol within 5-10 minutes of major train and bus routes. The chance to work in a fast-paced, highly ambitious team A fully stocked pantry and large cooking space where we cook and eat together Equal Opportunity The Cookpad team is made up of an incredible, diverse range of people. We are proud to be an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. Your Privacy When applying for a job with Cookpad, we will collect personal information about you. We use that personal information predominantly for the purposes of processing your application and analysis of our recruitment activity. You can read more about how we use your personal information in our privacy policy. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Leverage cutting-edge AI technologies to address real-world customer challenges Collaborate with product teams to translate business and product requirements into technical solutions that leverage the latest in AI technologies Design and implement intelligent AI agents and multi-agent systems capable of autonomous decision-making and interaction, enabling complex workflows and real-time problem-solving Develop agent-based architectures for applications such as task orchestration, adaptive learning, and dynamic data analysis Create and deploy Retrieval-Augmented Generation (RAG) systems to enhance AI model retrieval and contextual response accuracy Evaluate and refine prompt engineering strategies, incorporating advanced techniques to optimize generative model outputs for diverse use cases Requirements
Essential: Solid professional software engineering background Approx. 5+ years industry experience in software development Strong Python skills, including production-level experience Proficiency in modern software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Hands-on experience building applications and integrations with modern generative AI models (e.g., LLMs) Hands-on experience with advanced techniques for optimizing generative model outputs Ability to work effectively both independently and within a team Proven ability to perform in a dynamic, fast-paced environment Strong analytical and problem-solving abilities Desirable: Strong foundation in AI/ML principles, with a focus on Generative AI and Large Language Models (LLMs) Ground understanding of the trade-offs, capabilities, and limitations of different AI models Experience with vector embeddings and working with vector databases (e.g., Pinecone) Experience in integrating data with pre-trained Generative AI models using techniques like RAG and fine-tuning, utilizing tools such as LangChain, LlamaIndex, Hugging Face, AWS Bedrock, or Google Vertex AI Experience with at least one common cloud provider (AWS, GCP, Azure) Knowledge of MLOps/LLMOps practices, including model deployment, serving, and monitoring Familiarity with data engineering principles and managing data pipelines for AI applications What we offer
Flexibility - contract or full-time employment Competitive remuneration Hybrid working and an office location in Bristol within 5-10 minutes of major train and bus routes. The chance to work in a fast-paced, highly ambitious team A fully stocked pantry and large cooking space where we cook and eat together Equal Opportunity The Cookpad team is made up of an incredible, diverse range of people. We are proud to be an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. Your Privacy When applying for a job with Cookpad, we will collect personal information about you. We use that personal information predominantly for the purposes of processing your application and analysis of our recruitment activity. You can read more about how we use your personal information in our privacy policy. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr
