Story Terrace Inc.
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python based applications, experimenting with new frameworks and deployment solutions along the way. Your day to day will focus on building real, production grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI powered features and services in our Python based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision support tools into core product workflows. Implement and optimise LLM based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real time data processing and low latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM based systems. Hands on experience with AI assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification driven approaches for technical analysis, code generation, and code review. Hands on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice to text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem solving skills and ability to collaborate in cross functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python based applications, experimenting with new frameworks and deployment solutions along the way. Your day to day will focus on building real, production grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI powered features and services in our Python based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision support tools into core product workflows. Implement and optimise LLM based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real time data processing and low latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM based systems. Hands on experience with AI assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification driven approaches for technical analysis, code generation, and code review. Hands on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice to text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem solving skills and ability to collaborate in cross functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Story Terrace Inc.
Leeds, Yorkshire
Role information Hybrid workplace - 3 days a week in office, 2 days remote This role is based in Leeds (Aire Street) Working hours are 11am to 7pm The salary for this role is £26,500 per annum About Legal 500 Legal 500 was founded by John Pritchard in 1987 as the original clients' guide to law firms, the first of its kind. It is now a data-driven, AI optimised research platform which benchmarks, informs and connects providers and users of legal services in over 100 countries worldwide. Our research and data are trusted and relied upon by corporate clients globally as an essential part of the process, both of instructing law firms with new mandates, and when reviewing existing mandates or panels. We exist to empower both buyers and sellers in the international legal marketplace to make better decisions and have improved outcomes for their organisations. This is achieved by leveraging a trusted, comprehensive research process with a unique, vast, proprietary and constantly updated set of client supplied data, unrivalled in the market. On the supply side of the legal market, every year Legal 500's team of over 150 researchers, technologists, data analysts, journalists and content specialists collate and review 60,000+ data submissions from law firms and conduct interviews with thousands of leading law firm partners. On the demand side, Legal 500 analyses confidential data from 300,000+ commercial law firm clients to benchmark law firms and lawyers by practice area, industry, jurisdiction, as well as by proprietary client satisfaction metrics, NPS , and other qualitative and quantitative criteria. Legal 500 is the only source of this depth of global research and data on law firms, lawyers and their clients. About the role Research analysts are at the centre of our interaction with firms and the market, conducting comprehensive research into the legal market to benchmark law firms. The role involves interviewing lawyers and assessing quantitative and qualitative data to produce accurate rankings and insight fuelled editorial content. We are looking for people who have an excellent command of spoken and written English and must be able to manage time effectively and work to deadlines. Knowledge of the legal sector is preferable but not essential. Much of the law covered by the Legal 500 guides around the world is commercial so an interest in business and the City would be helpful. For an insight into the content of our products, please see What you'll be doing Gathering details of law firms' recent work, through the collection of written submissions and interviews with senior level lawyers You'll analyse quantitative and qualitative data to accurately assess and benchmark firms by practice area and country Applying rankings methodology consistently and accurately You will maintain live documents of ranking notes documenting decisions made for firms and individual lawyers and the rationale, applying the methodology consistently You'll be writing comprehensive, in depth analysis of the leading law firms in certain key practice areas Building rapport / relationship with law firms at BD and partner level You'll be owning your own workload in order to meet staggered and final deadlines for interviews, rankings and editorials What we're looking for Professional and confident approach to speaking with external senior decision makers at major law firms Excellent written communication skills An energetic self starter Ability to build relationships across the business with internal stakeholders Highly organised with exceptional planning skills and the ability to manage work to deadline Adaptable to change Comfortable working independently
Role information Hybrid workplace - 3 days a week in office, 2 days remote This role is based in Leeds (Aire Street) Working hours are 11am to 7pm The salary for this role is £26,500 per annum About Legal 500 Legal 500 was founded by John Pritchard in 1987 as the original clients' guide to law firms, the first of its kind. It is now a data-driven, AI optimised research platform which benchmarks, informs and connects providers and users of legal services in over 100 countries worldwide. Our research and data are trusted and relied upon by corporate clients globally as an essential part of the process, both of instructing law firms with new mandates, and when reviewing existing mandates or panels. We exist to empower both buyers and sellers in the international legal marketplace to make better decisions and have improved outcomes for their organisations. This is achieved by leveraging a trusted, comprehensive research process with a unique, vast, proprietary and constantly updated set of client supplied data, unrivalled in the market. On the supply side of the legal market, every year Legal 500's team of over 150 researchers, technologists, data analysts, journalists and content specialists collate and review 60,000+ data submissions from law firms and conduct interviews with thousands of leading law firm partners. On the demand side, Legal 500 analyses confidential data from 300,000+ commercial law firm clients to benchmark law firms and lawyers by practice area, industry, jurisdiction, as well as by proprietary client satisfaction metrics, NPS , and other qualitative and quantitative criteria. Legal 500 is the only source of this depth of global research and data on law firms, lawyers and their clients. About the role Research analysts are at the centre of our interaction with firms and the market, conducting comprehensive research into the legal market to benchmark law firms. The role involves interviewing lawyers and assessing quantitative and qualitative data to produce accurate rankings and insight fuelled editorial content. We are looking for people who have an excellent command of spoken and written English and must be able to manage time effectively and work to deadlines. Knowledge of the legal sector is preferable but not essential. Much of the law covered by the Legal 500 guides around the world is commercial so an interest in business and the City would be helpful. For an insight into the content of our products, please see What you'll be doing Gathering details of law firms' recent work, through the collection of written submissions and interviews with senior level lawyers You'll analyse quantitative and qualitative data to accurately assess and benchmark firms by practice area and country Applying rankings methodology consistently and accurately You will maintain live documents of ranking notes documenting decisions made for firms and individual lawyers and the rationale, applying the methodology consistently You'll be writing comprehensive, in depth analysis of the leading law firms in certain key practice areas Building rapport / relationship with law firms at BD and partner level You'll be owning your own workload in order to meet staggered and final deadlines for interviews, rankings and editorials What we're looking for Professional and confident approach to speaking with external senior decision makers at major law firms Excellent written communication skills An energetic self starter Ability to build relationships across the business with internal stakeholders Highly organised with exceptional planning skills and the ability to manage work to deadline Adaptable to change Comfortable working independently