Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

You'll work with Python, NLP/LLMs, SQL/NoSQL databases, and cloud infrastructure, designing retrieval, knowledge-base, and reasoning models. You own projects end-to-end at Catapult, which builds personalised AI that understands a user's full work context across email, calendar, Slack, and other tools. No team size is given for this founding role.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

Build scalable backend services and APIs with Go, Python, or C++, and develop frontend applications using React and TypeScript. You will ship AI-powered product features end-to-end on a platform combining computer vision, multimodal AI, and real-time data. Work closely with AI and platform engineers on new capabilities within a small, experienced team.

TypeScript, Python, Rust, or C++ for a full-stack desktop application, backend for live data ingestion, and the algorithmic layer bridging research and product. This role is at a stealth-mode AI startup building a proactive AI assistant that maintains a persistent model of user work history. As a Founding Senior Engineer, you will work directly with AI researchers in a small team.

You will write production C++ and Python for physical robots deployed in real-world environments. You will own core subsystems end-to-end, developing algorithms for SLAM, navigation, computer vision, and high-performance computing at a pre-seed/seed stage 15-person robotics startup.

You will work with Go, Python, C/C++, LLM APIs, frontend frameworks (Vue/React), and edge-device firmware. The team builds an AI-driven physical security intelligence platform that processes audio and video to detect risks and generate structured insights. You will own AI output quality and eval tooling.

Python, C++, robotics, computer vision, machine learning, distributed systems, networking and industrial hardware. Build an AI-powered control layer for industrial robots starting with welding. Employee #4 on a small technical team deploying software that controls physical systems in production environments.

At Axon Labs you will own production infrastructure across multi-region cloud and latency-sensitive environments using AWS, Python, C++, Kubernetes, Terraform, CI/CD, PostgreSQL, TimescaleDB, Kafka, Redis, low-latency messaging, Grafana, Prometheus, and Loki. The company is a systematic trading and research lab that builds decision engines running in live markets, with multiple strategies already in production across venues.

You will work with Python/C++, Ray, Spark, Flink, Kafka/Beam, and ML frameworks for search/recsys and frontier AI (LLMs, RL, multi-agent orchestration). Your role involves building enterprise superintelligence systems—end-to-end architectures that take ownership of business outcomes—as a founding scientist on a small, senior team.

Build and own the cloud infrastructure for live AI-driven trading systems, using AWS, Kubernetes, Terraform, Python, Kafka, PostgreSQL, Redis, and ClickHouse. You will design deployment pipelines, multi-region environments, and observability with Grafana, Prometheus, and Loki. This is a founding engineering role, giving you direct ownership of the platform and architecture.

You will architect a cloud-native backend on GCP using Python, C++, Docker, and Cloud Run, with emphasis on data-intensive or realtime systems. The deep-tech startup scales a research-led product into a production platform, collaborating with robotics/computer vision engineers to build APIs for edge devices.

You will work with Node.js, TypeScript, React, Three.js, Python, C++, and PLC. The company is an early-stage hardware and robotics scale-up building automated, real-time manufacturing systems driven by software and physical AI. As Lead Software Engineer, you will own the software platform that translates digital designs into production instructions and lead a high-performing engineering team.

You will design and build the agent sandboxing platform using Go or Rust, working with containerization (Docker, Firecracker, gVisor) and virtualization technologies on Linux. The team provides a secure, high-performance code execution layer for agentic workflows deployed across internal and customer-managed environments.

You will build and own infrastructure using Linux, AWS, Terraform, CI/CD, Python (Go, Rust, C++, Java beneficial), PostgreSQL, Redis, Kafka, and ClickHouse. Your team builds real-time intelligence systems for global financial markets, combining ML, HPC, and systematic trading. This is a founding role with direct impact on live trading infrastructure.

Fuse Energy★3.0 (1)· London

Design and optimize CUDA kernels and multi-GPU scaling (NCCL/MPI) for latency-sensitive workloads. Profile performance using Nsight tools and build tooling linking GPU power draw to real-time energy pricing. This role develops the software layer for Fuse Energy's high-performance compute infrastructure at the intersection of AI and renewable energy.

Fuse Energy★3.0 (1)· London

You will write and optimize custom CUDA kernels for transformer inference, focusing on kernel fusion, mixed-precision arithmetic, and memory hierarchy management. This role is with Fuse Energy, a renewable energy startup expanding into high-performance compute infrastructure that optimizes GPU workloads against grid conditions. You will work at the level of SMs, warps, and memory bandwidth to maximize throughput.

You'll work with Rust, C, C++, Linux kernel drivers, PCIe, DMA, RISC-V assembly, custom ISAs, firmware (bare-metal/RTOS), and QEMU simulation. The company builds chips and systems to accelerate AI inference at thousands of tokens per second. This is a small cross-functional team of experienced low-level engineers.

You will work with Rust, Python, Docker, Azure/AWS, Prometheus, Grafana, and streaming databases. Helsing is a defence AI company building resilient distributed systems for high-performance machine learning inference at the tactical edge.

Use React, TypeScript, JavaScript, Electron, and React Native to build cross-platform web applications. You will spearhead Catapult’s transition from C++/Qt desktop to modern web, productizing internal utilities and administrative workflows for sports performance technology.

You will work with Python, TypeScript/JavaScript, Java, or C++ and cloud platforms (AWS, GCP, Azure) to build and deploy end-to-end generative and agentic AI applications, create training datasets, and design evaluation pipelines for LLMs. The Global Public Sector team builds custom AI applications for government clients, impacting millions of citizens.

You'll develop full-stack cloud and IoT software for Mytos' cell-manufacturing automation platform using TypeScript, React, GraphQL, Node.js, PostgreSQL, Python, and MQTT across frontend, backend, and device layers. The role involves building interfaces for biological workflows, backend services interfacing with hardware, and automated image analysis to help scientists accelerate cell therapy and drug discovery research. You'll collaborate with hardware engineers, biologists, and commercial teams while learning lab automation and stem cell biology firsthand.

You'll develop and maintain the Agave client for the Solana blockchain using Rust or C++, focusing on performance optimization, security testing, and distributed systems reliability. Anza is an R&D lab building robust blockchain infrastructure and protocols to improve Solana's scalability and security. You'll analyze code, design benchmarking solutions, and collaborate across teams to enhance the network's robustness against emerging threats.

You'll work with object-oriented languages (C#, Java, Python, Go, etc.), cloud infrastructure (AWS), Kubernetes, CI/CD pipelines, messaging systems (RabbitMQ, Pulsar), and modern front-end technologies like React. Genius Sports builds next-generation sports betting technology, including a leading Sportsbook and Risk Management platform that uses advanced algorithms to help operators manage liability, optimize margins, and improve customer experience. You'll join a multi-disciplinary Agile team delivering highly distributed, real-time systems with measurable business impact.

You'll work with Python, C++, and related languages to develop world models, 3D/4D scene representations, and robotic planning systems at Reka, an AI research lab building foundational intelligence for physical world applications including robotics, wearables, and media. The role involves collaborating with ML researchers on multimodal generative models and hardware teams to ensure sim-to-real performance across robotic platforms.