Raft

Description Raft, an intelligent logistics platform, is revolutionizing the freight and customs industry through automation and advanced technologies. As a fast-scaling, UK-based tech company with global reach, we're pioneering solutions that empower freight forwarders and customs brokers to operate at new levels of efficiency and precision. Fueled by our Series B funding from renowned investors, we're poised for major growth and innovation. As a Senior Engineer with a focus on all things AI at Raft, you'll be instrumental in shaping the architecture and capabilities of our platform to support features at the cutting-edge powered by AI. This is not a traditional engineering role - it's a high-impact opportunity to work with the cutting edge of AI and agents in a real product setting. You will be responsible for designing scalable and innovative AI solutions and making them work at an enterprise scale. This role is also unique since you will get exposure to our current platform and customers alongside being involved in an exciting greenfield project, where you will be able to build an AI native product from scratch. In addition to building advanced software, you'll play a strategic role in driving technical decision-making and mentoring our growing engineering team. This role is for someone who thrives in a fast-paced, ambitious environment and is ready to make an outsized impact on a product used across the globe. What You'll Do: Design and implement AI-powered features using LLMs, MCP and other advanced technologies Create robust, scalable, and maintainable code that adheres to engineering best practices Develop agentic AI systems that can autonomously perform complex tasks and bring humans in the loop at the right time. This will involve thinking about and building systems that balance automation with control. Integrate LLM and AI models into the Raft platform to power new, innovative features at the cutting edge of enterprise-grade AI. Work with our existing tech stack and make improvements across our existing models, code and architecture. Drive the evolution of platform features that require complex engineering solutions powered by AI/ML. Be an evangelist for modern AI and the art of the possible within our teams. Implement rigorous testing methodologies for AI systems, including modern evals. Collaborate with product managers, UX designers, and customers to understand pain points and translate them into effective technical solutions Mentor junior engineers and foster a culture of innovation and continuous learning Stay current with the rapidly evolving AI landscape and recommend strategic technology adoption Requirements Brings 5+ years of hands-on experience in software development with a strong focus on Python, supplemented by experience in other programming languages. Proven experience designing and implementing solutions with LLMs like GPT-4, Claude, or open-source models Experience with prompt engineering and LLM fine-tuning techniques Experience building production-ready AI systems that scale reliably in enterprise environments Has deep expertise in designing and maintaining databases, vector stores, etc. and understands the latest trends in database technology, particularly relevant to LLM and AI applications. Is proficient with FastAPI/Starlette and can demonstrate experience in building scalable APIs with Python for AI/ML applications. Has a solid track record in cloud native environments and understands how to architect and implement software libraries that thrive in distributed, multi-cloud settings. Can design and implement a sophisticated logging, monitoring, and alerting infrastructure to ensure high availability and quick troubleshooting of AI/ML systems. Understands and implements best practices in security and data privacy, with a proven ability to secure complex data flows, particularly for LLM/AI applications. Has extensive experience with containerised tools like Docker, Docker Compose, Kubernetes, Helm, and understands the intricacies of deploying these in production, specifically for LLM/AI workloads. Some experience with agentic AI architectures and multi-agent systems is beneficial. Demonstrated ability to balance technical excellence with business requirements and time constraints Apply Because You Want to... Join a company on the leading edge of logistics technology, competing with industry giants while leveraging cutting-edge AI/ML and backend engineering. Work in a product-driven environment where your contributions shape real-world solutions for a global customer base. Collaborate with stakeholders across industries and continents, gaining unparalleled exposure to the logistics and automation sectors. Thrive in a high-energy, growth-focused environment that pushes you to expand your technical and strategic skill sets. Be part of a diverse, inclusive, and multi-cultural team where innovation and continuous improvement are celebrated. Show more Show less

Description Raft, an intelligent logistics platform, is revolutionizing the freight and customs industry through automation and advanced technologies. As a fast-scaling, UK-based tech company with global reach, we're pioneering solutions that empower freight forwarders and customs brokers to operate at new levels of efficiency and precision. Fueled by Series B funding from world-class investors, we are expanding our team and looking for a talented Forward Deployed Engineer (Backend) to join us in delivering custom engineering solutions to our clients. As a Forward Deployed Engineer (Backend) , you will collaborate directly with customers and customer facing teams to understand their needs and provide technical expertise while delivering tailored solutions. This role combines software engineering with customer-facing responsibilities, where you’ll be working closely with clients to design and implement solutions that align with their business requirements. You’ll be part of a cross-functional team that works directly with customers, ensuring they have the best experience with Raft's platform while solving complex engineering challenges. You’ll need to be comfortable working in a fast-paced, customer-driven environment and ready to deliver high-quality software solutions to diverse clients. What You'll Do: Design and implement scalable solutions for customers using Raft’s platform, ensuring that their unique business needs are met. Work directly with clients to gather requirements, provide technical guidance, and support the integration of our platform into their systems. Develop custom APIs and backend services that enable seamless integration with customer environments. Troubleshoot and resolve complex technical issues, acting as the technical liaison between customers and the Raft engineering team. Deep collaboration with internal teams (Product, Engineering, Customer Success and Sales) to form a strong partnership, refine features and improve the customer experience. You’ll create clean documentation for projects for smooth handover. Contribute to the continuous improvement of our backend architecture and services based on customer feedback and emerging industry trends. Requirements: Proven experience in Python-based backend development is essential. Exposure to frontend technologies, particularly React, is desirable. Successfully delivered technical solutions and provided expert guidance to clients in professional services or consulting settings, leveraging strong communication skills. Ability to design and build scalable, cloud-based systems and APIs that integrate with client systems. Experience working with database technologies (preferably PostgreSQL) and backend frameworks like FastAPI. Comfortable troubleshooting complex technical issues in production environments, ensuring quick resolution and minimal downtime. Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. A problem-solving mindset, with a passion for customer satisfaction and delivering quality solutions. Experience with containerized tools like Docker, Kubernetes, and deployment practices in cloud environments (AWS, Azure, GCP) is a plus. Demonstrated ability to balance technical excellence with business requirements and time constraints Knowledge of modern AI tools like Cursor and experience working directly with LLMs and prompt engineering is desirable. Apply Because You Want to... Join a dynamic, fast-growing company at the forefront of logistics technology, where you’ll be interacting with clients across various industries. Work in a client-centric role where your technical expertise helps solve real-world challenges for global businesses. Collaborate with diverse teams to create customized solutions that have a tangible impact on the efficiency of the logistics and freight industry. Thrive in a customer-facing, dynamic environment where you can grow your technical and communication skills. Be part of a diverse, inclusive, and multi-cultural team that values continuous learning and innovation.

Raft, an intelligent logistics platform, is revolutionizing the freight and customs industry through automation and advanced technologies. As a fast-scaling, UK-based tech company with global reach, were pioneering solutions that empower freight forwarders and customs brokers to operate at new levels of efficiency and precision. Fueled by our Series B funding from renowned investors, were poised for major growth and innovation. As a Senior Engineer with a focus on all things AI at Raft, youll be instrumental in shaping the architecture and capabilities of our platform to support features at the cutting-edge powered by AI. This is not a traditional engineering role - its a high-impact opportunity to work with the cutting edge of AI and agents in a real product setting. You will be responsible for designing scalable and innovative AI solutions and making them work at an enterprise scale. This role is also unique since you will get exposure to our current platform and customers alongside being involved in an exciting greenfield project, where you will be able to build an AI native product from scratch. In addition to building advanced software, youll play a strategic role in driving technical decision-making and mentoring our growing engineering team. This role is for someone who thrives in a fast-paced, ambitious environment and is ready to make an outsized impact on a product used across the globe. What Youll Do: Design and implement AI-powered features using LLMs, MCP and other advanced technologies Create robust, scalable, and maintainable code that adheres to engineering best practices Develop agentic AI systems that can autonomously perform complex tasks and bring humans in the loop at the right time. This will involve thinking about and building systems that balance automation with control. Integrate LLM and AI models into the Raft platform to power new, innovative features at the cutting edge of enterprise-grade AI. Work with our existing tech stack and make improvements across our existing models, code and architecture. Drive the evolution of platform features that require complex engineering solutions powered by AI/ML. Be an evangelist for modern AI and the art of the possible within our teams. Implement rigorous testing methodologies for AI systems, including modern evals. Collaborate with product managers, UX designers, and customers to understand pain points and translate them into effective technical solutions Mentor junior engineers and foster a culture of innovation and continuous learning Stay current with the rapidly evolving AI landscape and recommend strategic technology adoption Brings 5+ years of hands-on experience in software development with a strong focus on Python, supplemented by experience in other programming languages. Proven experience designing and implementing solutions with LLMs like GPT-4, Claude

Raft, an intelligent logistics platform, is revolutionizing the freight and customs industry through automation and advanced technologies. As a fast-scaling, UK-based tech company with global reach, were pioneering solutions that empower freight forwarders and customs brokers to operate at new levels of efficiency and precision. Fueled by Series B funding from world-class investors, we are expanding our team and looking for a talented Forward Deployed Engineer (Backend) to join us in delivering custom engineering solutions to our clients. As a Forward Deployed Engineer (Backend) , you will collaborate directly with customers and customer facing teams to understand their needs and provide technical expertise while delivering tailored solutions. This role combines software engineering with customer-facing responsibilities, where you ll be working closely with clients to design and implement solutions that align with their business requirements. You ll be part of a cross-functional team that works directly with customers, ensuring they have the best experience with Rafts platform while solving complex engineering challenges. You ll need to be comfortable working in a fast-paced, customer-driven environment and ready to deliver high-quality software solutions to diverse clients. What Youll Do: Design and implement scalable solutions for customers using Raft s platform, ensuring that their unique business needs are met. Work directly with clients to gather requirements, provide technical guidance, and support the integration of our platform into their systems. Develop custom APIs and backend services that enable seamless integration with customer environments. Troubleshoot and resolve complex technical issues, acting as the technical liaison between customers and the Raft engineering team. Deep collaboration with internal teams (Product, Engineering, Customer Success and Sales) to form a strong partnership, refine features and improve the customer experience. You ll create clean documentation for projects for smooth handover. Contribute to the continuous improvement of our backend architecture and services based on customer feedback and emerging industry trends. Requirements: Proven experience in Python-based backend development is essential. Exposure to frontend technologies, particularly React, is desirable. Successfully delivered technical solutions and provided expert guidance to clients in professional services or consulting settings, leveraging strong communication skills. Ability to design and build scalable, cloud-based systems and APIs that integrate with client systems. Experience working with database technologies (preferably PostgreSQL) and backend frameworks like FastAPI. Comfortable troubleshooting complex technical issues in production environments, ensuring quick resolution and minimal downtime. Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. A problem-solving mindset, with a passion for customer satisfaction and delivering quality solutions. Experience with containerized tools like Docker, Kubernetes, and deployment practices in cloud environments (AWS, Azure, GCP) is a plus. Demonstrated ability to balance technical excellence with business requirements and time constraints Knowledge of modern AI tools like Cursor and experience working directly with LLMs and prompt engineering is desirable. Apply Because You Want to... Join a dynamic, fast-growing company at the forefront of logistics technology, where you ll be interacting with clients across various industries. Work in a client-centric role where your technical expertise helps solve real-world challenges for global businesses. Collaborate with diverse teams to create customized solutions that have a tangible impact on the efficiency of the logistics and freight industry. Thrive in a customer-facing, dynamic environment where you can grow your technical and communication skills. Be part of a diverse, inclusive, and multi-cultural team that values continuous learning and innovation.

✨ Design something that truly matters At Raft, we're building tools that power the global movement of goods — and we believe design has a critical role to play. Our platform helps those in the logistics industry work more efficiently, and our products are used for hours every single day by the people who keep supply chains running. That means every design decision you make has a direct impact on someone's day-to-day work and quality of life. We're looking for a Senior Product Designer to work on the design system in Raft. This is a rare opportunity to join early on and help shape design principles in Raft and advocate for accessible, consistent, and seamless user experience. You'll be joining a small but mighty team that genuinely loves helping each other grow. We believe deeply in craft, collaboration, and improving the status quo in an industry that's been overlooked for far too long. 🛠️ What You'll Be Doing Lead the evolution of the design system: research and drive change to improve Raft design system. Support the needs of fellow designers and internal FE team Maintain a high standard of craft: create the solutions with care, suitable for the b2b environment, accessible, and stunning visually Work on components and hand-off: not only concentrate on the visuals, but maintain semantic tokens, scalable components, and clear specs for the team to use Drive consistency: oversee global patterns and layouts in the design system, making sure that they are correctly used across our product suite Advocate for the design system inside Raft: educate internal teams on the benefits of using the design system Shape our design culture: collaborate with other designers who care deeply about craft, mentoring, and shipping great work ✅ You should apply if you... Have worked with B2B SaaS platforms, especially with high data density and complex visual hierarchy Created design systems before, know the best-practices and all there is to know about tokens and components Have a good understanding of how design systems are developed and ready to actively collaborate with the engineers Have a strong focus on craft, creating stunning designs and ready to raise the bar around you. Have deep expertise in design systems and visual design, but always stay connected to the bigger picture and how the system supports real product experiences Happy to jump into end-to-end feature design when needed, and you make decisions with context in mind Communicate clearly and confidently, especially when collaborating with engineers or presenting to stakeholders Enjoy working independently, taking initiative, and owning your work Want to join a team that balances high standards with low ego. 🚫 This role might not be for you if... You have never worked on the design systems before You only concentrate on the visuals, not researching usability of the solutions and if they are suitable for the product domain You're early in your career and need lots of hands-on support You've only worked on marketing sites or mobile apps and haven't designed for complex systems You're not comfortable speaking up in cross-functional conversations. 💬 What's it like working here? You'll be part of a Raft product and design team. We operate hybrid, with a mix of in-person collaboration and flexibility, with the majority of the team working from our London and India offices. Even when we are far away, we take collaboration and team spirit seriously and are always ready for a round of online pictionary. Work remotely or from our office in India, closely collaborating with the India-based engineering team Private health insurance (includes vision & dental) & other benefits Flexible working Exploring new AI tools and workflows Supportive and truly diverse team - right now we are 9 people from 7 different countries and have a female to male ratio of 5:4! 📝 What to expect from the interview process We want you to know what's ahead, so here's how our process works: Intro chat with our recruiter - A quick conversation to learn more about you and answer any questions you might have Portfolio presentation - You'll meet with members of our design team to walk through 1-2 case studies and discuss your approach Take-home design challenge + presentation - A chance to show how you think through a real problem. We'll ask you to present your work to the team Leadership interview - A conversation with one of our C-level leaders Meet the team - Connect with your potential teammates and manager. We'll use this time to explore culture fit, motivation, and your career goals. We'll keep you informed every step of the way — and aim to move quickly while being respectful of your time. About Raft Raft is an intelligent logistics platform for freight forwarders and customs brokers. We raised our Series B from top-tier investors like Eight Roads, Bessemer, and Dynamo Ventures. We're using AI to automate and improve how global supply chains operate — and we believe great design plays a huge role in that. If this sounds like something you'd be excited to work on, we'd love to hear from you.

Raft is the intelligent logistics platform that's rewriting the technology playbook for freight forwarders and customs brokers in the automation era. A dynamic UK-based technology company with a global impact across logistics, we're searching for a Data Annotator who is excited by the prospect of working in a rapidly growing international scale-up. We have significant runway thanks to our most recent Series B funding, which we raised from some of the best investors in the space: Eight Roads (Alibaba, Spendesk, Toast), Bessemer Venture Partners (LinkedIn, Twilio, Shopify), Episode 1 (Zoopla, Betfair, Shazam) and Dynamo Ventures (Sennder, Stord, Gatik). This role is part of the Machine Learning team which aims to automate logistics operations and allow freight forwarders to work more efficiently and their operators to focus on anomalies and escalations. As a Data Annotator, you will support the ML Engineers by generating data sets for model training as well as evaluating and testing their models before they go to production. Additionally, you will be involved in generating quantitative and qualitative insights into the current behaviour of the Raft application in production. You will be involved in monitoring the accuracy of our ML product in an environment of ever-changing data inputs and give recommendations on focus areas to ML Engineers. Responsibilities Generating data that is used as training data for ML models through manual labelling or validation of customer data Testing the effectiveness and accuracy of new ML models by setting up and executing test routines, ideally automating those Creating reports with quantitative and qualitative insights gained from data, including aggregating and visualising the data Collaborating with several squads within the ML team to support them in achieving their goals Working on multiple projects in parallel will require you to be adaptable across multiple functions Requirements Up to 2 years of work experience Diligence and attention to detail Working knowledge of Google Sheets and/or Microsoft Excel Ability to handle high levels of ambiguity, change, and a fast-paced work tempo Ability to understand complex instructions from the team and communicate gained insights from the data back to the team Openness to acquiring a domain knowledge of logistics processes, in particular, the documents involved in them Nice to have Experience working in a fast-paced environment, e.g. start-up, strategy consulting, investment banking Experience working with data labelling tools, e.g. Label Studio, Doccano, INCEpTION Domain knowledge about the logistics industry Basic knowledge of command line tools Experience in Quality Assurance, especially automated QA with cypress A STEM or another quantitative degree from a globally recognized university

Raft is the intelligent logistics platform that s rewriting the technology playbook for freight forwarders and customs brokers in the automation era. A dynamic UK-based technology company with a global impact across logistics, we re searching for a Data Annotator who is excited by the prospect of working in a rapidly growing international scale-up. We have significant runway thanks to our most recent Series B funding, which we raised from some of the best investors in the space: Eight Roads (Alibaba, Spendesk, Toast), Bessemer Venture Partners (LinkedIn, Twilio, Shopify), Episode 1 (Zoopla, Betfair, Shazam) and Dynamo Ventures (Sennder, Stord, Gatik). This role is part of the Machine Learning team which aims to automate logistics operations and allow freight forwarders to work more efficiently and their operators to focus on anomalies and escalations. As a Data Annotator, you will support the ML Engineers by generating data sets for model training as well as evaluating and testing their models before they go to production. Additionally, you will be involved in generating quantitative and qualitative insights into the current behaviour of the Raft application in production. You will be involved in monitoring the accuracy of our ML product in an environment of ever-changing data inputs and give recommendations on focus areas to ML Engineers. Responsibilities Generating data that is used as training data for ML models through manual labelling or validation of customer data. Testing the effectiveness and accuracy of new ML models by setting up and executing test routines, ideally automating those. Creating reports with quantitative and qualitative insights gained from data, including aggregating and visualising the data. Collaborating with several squads within the ML team to support them in achieving their goals. Working on multiple projects in parallel will require you to be adaptable across multiple functions. Up to 2 years of work experience Diligence and attention to detail Working knowledge of Google Sheets and/or Microsoft Excel Ability to handle high levels of ambiguity, change, and a fast-paced work

Raft is the intelligent logistics platform that s rewriting the technology playbook for freight forwarders and customs brokers in the automation era. A dynamic UK-based technology company with a global impact across logistics, we re searching for a Backend Engineer who is excited by the prospect of working in a rapidly growing international scale-up. We have significant runway thanks to our most recent Series B funding, which we raised from some of the best investors in the space: Eight Roads (Alibaba, Spendesk, Toast), Bessemer Venture Partners (LinkedIn, Twilio, Shopify), Episode 1 (Zoopla, Betfair, Shazam) and Dynamo Ventures (Sennder, Stord, Gatik). As a Backend Engineer at Raft your role will focus on architectural work on our cloud infrastructure, APIs, data pipelines, databases and more. You will be heavily involved in the enhancements of the platform to enable critical features such as multi-user access, real time updates, etc. Overall your role will have an incredible impact on the continued success of our teams and product and your contributions will be greatly valued. Day to day you will engage in: Building and maintaining scalable cloud infrastructure Designing, building and maintaining databases, APIs and data pipelines, along with managing the underlying infrastructure on which they run (some DevOps) Enhancing the platform to enable critical features (multi-user access, real time updates, etc.) We specifically want someone who: Has really strong experience with Python and other programming languages and has extensive experience with designing, building and maintaining databases, including PostgreSQL. Architects and implements software libraries in a multi-cloud environment Can design and build a flexible logging, monitoring and alerting infrastructure Has built scalable APIs using Python and is familiar with the latest developments in the language Has knowledge of security / data privacy best practices Have worked commercially with containerised tools like Docker, Docker compose, Kubernetes, Helm, etc. Apply because you want to... Have the opportunity to work in a global market and compete with best in class companies who are on the front line of Machine Learning and Engineering developments Work in a modern Product-led company where your contributions are valued and have real-world impact Get exposure to working with stakeholders on a global level across different industries Work in a tech, fast-paced and challenging environment that provides opportunities for professional and personal growth Work in a diverse and multicultural environment