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.