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A leading blockchain startup is seeking a Senior Software Engineer to develop high-performance frontends and SDKs for cross-chain DApps. The role requires deep knowledge of Web3 technology and solid experience in UI/UX design. Candidates should possess 5+ years of software engineering experience and be proficient in TypeScript, React, and similar frameworks. This is a unique opportunity to shape the future of cross-chain DeFi within a fast-paced, innovative environment.

AI Engineer (PhD) - Series A DeepTech AI Company About the Company Our client is a cutting edge deep tech start up that's redefining how enterprises leverage artificial intelligence to automate complex analytical workflows. Having completed a successful Series A funding round, they are rapidly scaling their technology and delivery teams to meet strong enterprise demand. Their mission is to replace traditional, fragmented analytics processes with intelligent AI powered digital workers-autonomous systems that can perform advanced analytics, data science, and decision making tasks continuously, accurately, and at scale. The Role You'll collaborate with senior stakeholders, data scientists, and product teams at some of the world's most recognized enterprises-translating complex business problems into elegant, scalable AI solutions. What You'll Do Lead the design and delivery of agentic AI systems and LLM based workflows for top tier enterprise clients. Partner directly with technical and business teams to identify pain points and architect high impact AI driven solutions. Build and deploy production grade systems leveraging LLMs, RAG pipelines, multi component AI programs (MCPs), and agent frameworks. Conduct applied research to solve novel, previously unseen problems-bringing cutting edge innovation from concept to production. Contribute to internal research initiatives and thought leadership, shaping the evolution of AI automation in enterprise contexts. What You'll Bring PhD in a STEM field (Computer Science, Machine Learning, Mathematics, Physics, or related discipline). Your research background enables you to tackle complex, ambiguous problems with scientific rigor and creativity. Proven hands on experience building and deploying LLM based or agentic systems in production environments. Strong understanding of RAGs, MCPs, and scalable AI architectures. A forward deployed engineering mindset-comfortable engaging directly with clients to understand business needs and deliver measurable results. Excellent communication and problem solving skills, with the ability to translate between technical and commercial perspectives. Why Join Be part of a fast growing Series A company that's transforming how enterprises use AI. Work on real world, high impact AI projects with globally recognized clients. Collaborate with some of the brightest minds in AI and applied research. Join a culture that prizes curiosity, ownership, and performance-where winning as a team is the ultimate goal.

A tech company in the insurance sector is looking for a Senior Forward Deployed Engineer to join their team. This fully remote role in the UK involves partnering with customers to implement and optimize cutting-edge solutions. Candidates should have 5-8 years of experience in software or systems engineering, strong problem-solving abilities, and coding expertise in JavaScript, SQL, and Python. Join a well-funded, high-growth team shaping the future of insurance through AI-driven workflows.

A pioneering deep tech company in London is seeking an Infrastructure AI Engineer to design and manage the infrastructure for advanced AI systems. In this hands-on role, you will collaborate with teams to deliver scalable solutions across multi-cloud and on-premise environments. The ideal candidate will have strong experience in cloud infrastructure and expertise in Kubernetes and DevOps practices. Join a fast-growing team at the forefront of AI innovation and make a significant impact.

Infrastructure AI Engineer - Series A Deep Tech AI Company About the Company: Our client is a pioneering deep tech company transforming how enterprises leverage artificial intelligence to automate complex analytics workflows. Following a successful Series A funding round, the company is scaling rapidly to meet growing demand from some of the world's largest organizations. Their platform delivers AI-powered digital workers- autonomous systems that perform sophisticated analytics and data science tasks continuously and intelligently. By replacing fragmented tools, manual consulting, and costly licenses, these digital workers enable enterprises to achieve insights 10x faster and at a fraction of the cost, with guaranteed outcomes and zero operational overhead. The Role: As an Infrastructure AI Engineer, you'll design, deploy, and manage the infrastructure that powers some of the most advanced AI systems in production today. You'll work at the intersection of cloud computing, AI operations, and DevOps, ensuring scalable, secure, and high-performing environments for enterprise AI deployments. This is a hands-on, client-facing role where you'll collaborate with technical and business teams to bring cutting-edge AI agents and workflows to life across multi-cloud and on-premise environments. What You'll Do Architect, deploy, and maintain production-grade AI solutions across multi-cloud and on-prem infrastructures. Design and manage Kubernetes-based environments to support high-performance AI workloads. Implement best practices for availability, observability, scalability, and security in AI infrastructure. Collaborate with enterprise clients to understand deployment constraints and design tailored solutions. Integrate and operationalize LLMs, RAGs, MCPs, and agentic AI workflows into robust environments. Build and optimize CI/CD pipelines and infrastructure-as-code (IaC) frameworks (e.g., Terraform, Helm). Partner closely with AI engineering teams to ensure smooth delivery from prototype to production. What You'll Bring Strong background in cloud infrastructure engineering - experience with at least one major provider (AWS, Azure, or GCP). Proven ability to deploy and manage systems across hybrid or multi-cloud andon-premise environments. Expertise with Kubernetes, Docker, and container orchestration at scale. Familiarity with DevOps and site reliability engineering (SRE) best practices. Experience with CI/CD automation and infrastructure-as-code tools. Understanding of AI/ML deployment patterns and how to support model-driven workloads in production. Strong client-facing communication and problem-solving skills, with a forward-deployed engineering mindset. Why Join Join a fast-growing Series A company at the forefront of AI infrastructure innovation. Work on cutting-edge, real-world AI deployments for top global enterprises. Collaborate with world-class engineers and AI practitioners in a high-performance culture. Be part of a team that values ownership, excellence, and impact- where winning together is the goal.

Partner Engineer, DevRel, Remote, web3, Typescript, Smart Contract, $120k-$150k base A fast growing team working on cross chain infrastructure is hiring a Partner Engineer with a strong DevRel mindset. The focus is on building tooling that enables seamless interactions between AI driven applications, services, and decentralised finance. This is a hands on technical role sitting at the intersection of engineering, partnerships, and developer experience. You'll work closely with external teams integrating a new protocol, while also shaping documentation, tooling, and community support. What you'll be doing Supporting partners and developers integrating a cross chain intents based protocol into production systems Acting as a technical point of contact for integrations, debugging issues and guiding best practices Writing high quality technical documentation, tutorials, and example implementations Engaging directly with developers via GitHub, Discord or Telegram, and other community channels Running workshops, office hours, and AMAs to support ecosystem growth Feeding developer feedback back into the core engineering team What they're looking for Strong hands on software engineering background Comfortable working with TypeScript and modern developer tooling Experience in Web3, blockchain, or smart contracts is a big plus Ability to explain complex technical concepts clearly to other engineers Genuine interest in developer communities and partner enablement Why this role Work on infrastructure that connects AI, smart contracts, and multiple blockchains High ownership role with real influence on developer experience Remote first team with a strong engineering culture

Senior Software Engineer - Web3 & Cross-Chain DApps Remote Salary: $150,000 Are you passionate about Web3, DeFi, and cross-chain technology? We're working with a fast-growing blockchain startup building intent-driven infrastructure that enables seamless interactions between AI, services, and financial applications across chains. They're now looking for a Senior Software Engineer to join their team and help build blazing-fast frontends and SDKs for a cross-chain DEX, bridging EVM and non-EVM chains using multi-party computation, chain signatures, and secure enclaves. This is a hands-on role where you'll shape both the user experience and the technical implementation from the ground up. What You'll Do: Build and optimize high-performance frontends and SDKs for cross-chain DApps. Translate complex financial and blockchain concepts into intuitive and usable interfaces. Implement observability, tracing, and state machines for resilient request-for-quote flows. Collaborate with protocol engineers, designers, QA, and external partners to deliver seamless experiences. Ensure code quality, maintainability, and scalability across mobile, tablet, and desktop. What You'll Bring: 5+ years of experience as a software engineer, with a proven track record of shipping products. Strong UI/UX sensibility and attention to detail. Hands-on experience with TypeScript, React, Next.js, XState, Wagmi, React Native, or similar frameworks. Experience building functional and effective platforms, delivering robust and maintainable code. Familiarity with cryptocurrency and blockchain technologies. Bachelor's degree in Computer Science or a related field. Ability to collaborate effectively across time zones in a fast-paced startup environment. Why Join? You'll be part of a high-growth blockchain startup, working on cutting-edge Web3 infrastructure alongside a team of smart, results-driven engineers. This is a chance to influence product architecture, drive execution, and help shape the future of cross-chain DeFi. Interested? Apply now or drop me a message to learn more in confidence.

A tech-focused company in the United Kingdom is seeking a Partner Engineer with a strong DevRel mindset to join their remote-first team. This role involves supporting partners and integrating cross-chain protocols while producing technical documentation and engaging with the developer community. Candidates should have a solid engineering background, be proficient in TypeScript, and be familiar with Web3 and smart contracts. This is a hands-on position with significant influence on developer experience.

Full Stack Engineer, Product, London (onsite) AI-enabled workflows, TypeScript, Python, £80k-£150k base Overview A fast-growing product-focused team is hiring a Fullstack Engineer to help build software that supports complex, real-world workflows. The focus is on designing intuitive user experiences backed by robust backend systems and AI-powered capabilities. This is a hands-on engineering role with real ownership. You'll work end-to-end across the stack, shaping product direction as well as implementation, and shipping directly to production. What you'll be doing Design and build end-to-end product features and user workflows Build production-grade frontend interfaces using TypeScript and modern frameworks Develop backend services, APIs, and data models in Python Integrate AI-powered features such as LLMs and model-backed APIs into the product Own features from problem definition through deployment Work closely with users and stakeholders to iterate quickly What they're looking for Strong hands-on experience with TypeScript and modern frontend frameworks such as React Comfortable building backend services in Python Experience working with AI systems in production environments Strong product instincts and ability to work with loosely defined requirements Comfort in fast-moving, high-ownership teams Why this role Build software used to run complex, real-world operations High ownership and direct impact on the product In-person team in London with relocation and visa support available If this sounds interesting, apply here or message me directly for more detail on the team and scope

A leading Insurtech company is looking for a Post-Sales Solution Architect/Sales Engineer to drive customer success with their AI-driven SaaS platform. You will lead implementation programs for enterprise clients, ensuring timely delivery and measurable impact. Ideal candidates have over 6 years of experience in software engineering or technical program management, along with strong communication skills. The position is fully remote across the UK, offering flexibility and the chance to tackle real-world challenges in a dynamic environment.

A leading recruitment firm is seeking a Full Stack Engineer to join their product-focused team in London. This hands-on role involves designing software for complex workflows, utilizing TypeScript for frontend development and Python for backend services. The ideal candidate will have strong experience with modern frameworks and AI systems. This position offers high ownership, direct impact on the product, and support for relocation and visas.

An innovative AI startup is seeking a Solutions Architect to reshape how enterprises utilize AI-powered solutions. In this role, you will design and deliver scalable systems while collaborating with top-tier talent. The ideal candidate will have a strong technical background, leadership experience, and the ability to solve complex problems. This position offers the opportunity to work in a cutting-edge environment backed by significant funding, allowing you to directly influence the future of enterprise AI.