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.

A Senior AI Engineer at Stakemate will use agent frameworks (LangGraph, LlamaIndex, Semantic Kernel, ADK), RAG, Python, cloud services (Azure/GCP/AWS), and SQL to move AI from experiments to production. They will shape the platform and architecture for a live betting product at a fast-growing social sports betting startup.

You will work with agent frameworks (LangGraph, LlamaIndex, Semantic Kernel, ADK), RAG pipelines, vector stores, Python, SQL, and a major cloud (Azure AI Foundry, GCP, or AWS). You will take AI agents from proof-of-concept to production within Stakemate’s live sports betting product, setting the governance and standards for the company’s AI estate. Reporting to the CTO, you will shape the platform and architecture as the company scales.

Work with Java, GitHub Copilot, Devin.AI, Citi Squad, Stylus Workspaces (Gemini, OpenAI, Claude, Llama), Docker, Kubernetes, and CI/CD. Build high-performance, real-time FX risk management systems for a greenfield platform with a 10+ year strategic commitment. As a VP, lead end-to-end delivery and technical direction.

Cognition builds Devin and Windsurf, AI software agents that enable engineering teams to automate complex tasks. As a Partner Deployed Engineer covering Europe, you'll work with Global Systems Integrators to deploy and scale these platforms across their client base, leading technical enablement, supporting pilot deployments, and building repeatable solutions. You'll need strong software engineering fundamentals, experience with enterprise or services delivery models, and comfort traveling 25–50% including to India.

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.

Back-end and front-end development, system architecture, API design, cloud infrastructure, and CI/CD. As a founding engineer, you will build a product from scratch and shape technical direction alongside the founders at an early-stage UK start-up.

Lead a hands-on founding engineering role building AI agents for data privacy compliance at Pyxos. Own the control plane, agent architecture, model-abstraction layer, telemetry, evaluation harnesses, and expert knowledge system using LLMs, multi-step agentic workflows, and CI/CD pipelines. You will work with a production system serving enterprise customers, hiring a deliberately small team as the most senior technical leader reporting to the CEO.

Lead Front-End Developer with React and TypeScript, working on payment and point-of-sale technology for live events. Responsible for front-end architecture, design system, shared component library, payment flows, and real-time data integrations. Will mentor a small team and own tooling, standards, and CI/CD release pipelines.

Equinix★3.7 (391)· London

You will design and ship LLM-powered agents and the platform they run on using Python or TypeScript, APIs, microservices, event-driven architecture, Git, CI/CD, and cloud platforms, with tools like MCP and A2A. The Equinix Incubation team builds agentic systems that automate the software delivery lifecycle end to end—from intake and business case through code, test, release, and value tracking—with humans directing every gate.

You will build the infrastructure software that runs Substrate's AI-native automated lab, working across the stack with a small engineering team. The two core products are an execution layer that converts customer intent into versioned, runnable workflows and an observation layer that captures metadata into a knowledge graph. The tech stack includes APIs, MCP servers, an orchestrator, data pipelines, and a platform layer with data-serving abstractions, auth, and observability.

Samsung Electronics★3.9 (10k)· London

You'll work with Python, RAG, vector databases, AWS Bedrock, Claude, and agentic frameworks (LangGraph, CrewAI) to build GenAI automation for Sales, Marketing, Finance, HR, Legal, and Operations. You'll architect agentic workflows and multi-agent orchestration, owning the end-to-end AI lifecycle on a small, senior, high-trust team.

You'll build backend services powering Happl's AI-driven employee benefits platform using Go and TypeScript, working with REST APIs, PostgreSQL, and cloud infrastructure. The role focuses on designing scalable systems for benefits, allowances, payments, and reporting across a global customer base. You'll collaborate with product and frontend teams to ship end-to-end features while improving reliability, security, and observability.

Build and deploy GenAI automation tools on AWS Bedrock, Claude, and AnythingLLM using Python, RAG, and vector databases. You will design agentic workflows and multi-agent patterns to automate cross-department business processes for Sales, Marketing, Finance, HR, Legal, and Operations at Samsung Ads. This is a senior hands-on role on a small, high-trust team.

Python, Airflow-style orchestration, and data pipelines for an AI operating system serving automotive, construction, and agriculture parts industries. You'll own end-to-end data ingestion, cleaning, transformation, and backend APIs. One of the first US tech hires, working directly with founders.

You will own an existing production React/TypeScript application across web, iOS, and Android, integrating with Python/FastAPI backends and managing CI/CD pipelines. The team builds a computer-vision platform that turns video data into actionable insights. You will drive frontend architecture on a small, collaborative engineering team.

Build scalable backend services, APIs, and cloud-native systems on AWS running Kubernetes, using TypeScript, Node.js, Docker, and React. You will work directly alongside AI Engineers to build the production platform behind their next-generation AI authentication product.

Zencargo★1.8 (6)· London

Works with TypeScript, Python, Kotlin, AI-assisted development tools, APIs, webhooks, databases, n8n, LLM apps, cloud infrastructure, Terraform, and CI/CD. Embeds with operations teams to automate freight and supply-chain workflows, replacing manual processes with software and AI-driven solutions. Integrates with internal Zencargo services, carrier platforms, and third-party APIs.

You will work with TypeScript, Python, Kotlin, APIs, webhooks, databases, event-driven workflows, AI-assisted tools, n8n, LLM apps, and cloud infrastructure. This role embeds with operations teams to solve freight logistics problems by turning manual workflows into automated, AI-handled platform logic.

You will work with GCP, Terraform, GitHub Actions, ArgoCD, Kubernetes/GKE, Bash, Python, and CI/CD pipelines to build the cloud infrastructure platform for a new international iGaming operator launching across Europe. As a Principal / Platform Engineer, you will own DevOps tooling, automation and scalability, collaborating closely with the CTO and co-founders. The engineering team currently includes a Principal Engineer, a Data Engineer and outsourced partners.

You will work with Python, TypeScript, AWS, PostgreSQL, Docker, and CI/CD to build real-time systems, scalable backend services, agentic AI, and operational tooling. The team is building the real-time control layer for complex physical operations, starting with a live platform at a major international airport that coordinates people, equipment, and workflows.

You'll work with Next.js 14, React 18, TailwindCSS, Node.js, Prisma, MySQL, Zustand, Vitest, and ad APIs (Meta, TikTok, etc.). The team builds AI-powered tools to programmatically create, launch, and manage ads across a dozen platforms, enabling users to launch hundreds of ads in seconds.

You will build frontend applications with React, TypeScript, JavaScript (ES6+), GraphQL/Apollo, Material UI, and WebSockets. This is for an early-stage company creating a real-time platform for enterprise financial markets, where you will own features alongside product and backend engineers. The team is small and experienced.

You'll work with TypeScript across the stack (Node.js, React) on an event-driven platform. The team deploys voice AI agents that help banks collect debt, using LLM evals, adversarial agents, and AI-powered CI/CD. You'll own problems end-to-end from design to production.

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.