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.
About the Venture The insurance industry is stuck in a legacy loop. Finding and deploying underwriting capacity is slow, opaque, and wildly inefficient-especially for new MGAs and insurtechs. We're here to change that. Konduit is building the rails for real time insurance capacity allocation. Think Stripe for underwriting capital. We connect innovative MGAs with insurers via a standardized, intelligent platform, cutting deal times from 12 weeks to just 1, and transforming underwriting from a manual bottleneck into a dynamic marketplace. Backed by Aviva and incubated by Founders Factory, Konduit has an unfair advantage: unrivaled industry credibility, access, and insights from inside the machine. We're at the start of a category defining journey and we're hiring our founding team to help shape the future of insurance infrastructure. About the Role As CIO, you will bring deep market credibility, relationships, and real world operating insight into Konduit. You will serve as the product domain expert, ensuring the platform reflects how underwriting capacity actually moves through the US E&S market. You will work directly with the CEO to lead: Market entry Early partner and design partner engagement Product domain expertise grounded in real underwriting and capacity workflow Commercial execution and industry adoption Responsibilities Market & Industry Leadership Act as Konduit's industry anchor with MGAs, carriers, reinsurers, and capacity providers Bring firsthand knowledge of underwriting workflows, delegated authority models, capacity allocation, reporting, and oversight Represent Konduit credibly across the market and with early partners Access, Trust & Early Traction Unlock design partners (MGAs, insurers, syndicates) willing to engage early Shorten sales and partnership cycles through existing credibility and relationships Help Konduit earn trust in a conservative, regulated, relationship driven industry Product Domain Expertise Serve as the product domain expert, grounding the platform in real world underwriting and capacity workflows Translate industry processes, constraints, and edge cases into clear product requirements Ensure Konduit reflects how capacity is evaluated, approved, deployed, and governed in practice Distinguish between what is structurally required vs. legacy process noise Pressure test product assumptions using firsthand market experience Company Building Represent Konduit externally with partners, investors, and the broader market Help shape messaging, positioning, and category narrative Operate with ownership, accountability, and long term perspective Who This Is For We are looking for someone who has lived the problem Konduit is solving. Ideal backgrounds include: Former MGA CEO / COO / CUO Senior executive at a carrier, reinsurer, or Lloyd's syndicate Deep experience with delegated authority, program business, and capacity placement A strong proven network across senior levels at MGAs and capital providers You likely: Have spent years navigating capacity constraints Have strong opinions about what's broken and why Want to fix the system - not just win the next deal This role requires active involvement, ownership, and commitment. Equity & Commitment Meaningful founder level equity, vesting over time Long term alignment and shared upside Starting part time and moving to full time or near full time commitment as the company scales Please note: Exact structure will reflect experience, contribution, and timing.
About the Venture The insurance industry is stuck in a legacy loop. Finding and deploying underwriting capacity is slow, opaque, and wildly inefficient-especially for new MGAs and insurtechs. We're here to change that. Konduit is building the rails for real time insurance capacity allocation. Think Stripe for underwriting capital. We connect innovative MGAs with insurers via a standardized, intelligent platform, cutting deal times from 12 weeks to just 1, and transforming underwriting from a manual bottleneck into a dynamic marketplace. Backed by Aviva and incubated by Founders Factory, Konduit has an unfair advantage: unrivaled industry credibility, access, and insights from inside the machine. We're at the start of a category defining journey and we're hiring our founding team to help shape the future of insurance infrastructure. About the Role As CIO, you will bring deep market credibility, relationships, and real world operating insight into Konduit. You will serve as the product domain expert, ensuring the platform reflects how underwriting capacity actually moves through the US E&S market. You will work directly with the CEO to lead: Market entry Early partner and design partner engagement Product domain expertise grounded in real underwriting and capacity workflow Commercial execution and industry adoption Responsibilities Market & Industry Leadership Act as Konduit's industry anchor with MGAs, carriers, reinsurers, and capacity providers Bring firsthand knowledge of underwriting workflows, delegated authority models, capacity allocation, reporting, and oversight Represent Konduit credibly across the market and with early partners Access, Trust & Early Traction Unlock design partners (MGAs, insurers, syndicates) willing to engage early Shorten sales and partnership cycles through existing credibility and relationships Help Konduit earn trust in a conservative, regulated, relationship driven industry Product Domain Expertise Serve as the product domain expert, grounding the platform in real world underwriting and capacity workflows Translate industry processes, constraints, and edge cases into clear product requirements Ensure Konduit reflects how capacity is evaluated, approved, deployed, and governed in practice Distinguish between what is structurally required vs. legacy process noise Pressure test product assumptions using firsthand market experience Company Building Represent Konduit externally with partners, investors, and the broader market Help shape messaging, positioning, and category narrative Operate with ownership, accountability, and long term perspective Who This Is For We are looking for someone who has lived the problem Konduit is solving. Ideal backgrounds include: Former MGA CEO / COO / CUO Senior executive at a carrier, reinsurer, or Lloyd's syndicate Deep experience with delegated authority, program business, and capacity placement A strong proven network across senior levels at MGAs and capital providers You likely: Have spent years navigating capacity constraints Have strong opinions about what's broken and why Want to fix the system - not just win the next deal This role requires active involvement, ownership, and commitment. Equity & Commitment Meaningful founder level equity, vesting over time Long term alignment and shared upside Starting part time and moving to full time or near full time commitment as the company scales Please note: Exact structure will reflect experience, contribution, and timing.