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.

DeepL★3.8 (4)· London

You'll work with C# / .NET, RESTful APIs, distributed architectures, and optionally React/TypeScript, plus MCP, CLIs, OAuth, and AI coding tools. You join the API Enterprise team, which builds enterprise adoption features (usage insights, cost controls, RBAC, compliance, data residency) for DeepL's Language AI API platform.

Deloitte★3.9 (14k)· London

You will use Figma, React, TypeScript, and HTML/CSS to design and front-end code AI-powered agentic experiences, including conversational interfaces and agent-orchestration workflows for clients. The team reimagines how users interact with intelligent platforms, developing trust-centered, multi-step AI interactions. You will manage design workstreams and mentor junior designers and front-end developers.

You'll work across the full stack—backend distributed systems, cloud with IaC, and data pipelines including vector stores—using tools like Claude Code and AI agents for code review, refactoring, and parallel work. This Principal Engineer role on a large iGaming engagement oversees sportsbook, casino, and gaming platforms for a major client, managing a group of engineers and Tech Leads as the named delivery owner. The team includes engineers and Tech Leads that you directly line manage.

You'll develop full-stack software products using TypeScript, React, Python, Node.js, Java/Spring, C#/.NET, SQL, NoSQL, vector databases, LLM frameworks, and cloud platforms (Azure, AWS, GCP) with Docker and CI/CD. QuantumBlack, AI by McKinsey is a multidisciplinary group creating industry-shaping digital products and tools for clients across industries. You'll work hands-on with global technologists, designers, and strategists to build cutting-edge solutions while mentoring client teams on engineering practices and Agile values.

You'll work with frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), databases (SQL, NoSQL, vector databases), LLM frameworks, and cloud platforms (Azure, AWS, GCP) including Docker and CI/CD. QuantumBlack, an AI division of McKinsey, builds industry-shaping products and tools across diverse industries by pairing software engineers, AI engineers, and data scientists with client leadership. As a Senior Software Engineer, you'll lead architecture design, mentor teams in engineering excellence and Agile practices, and drive technology decisions on scalable solutions.

You’ll work across full-stack engineering with AI tooling (Claude Code, agents, evals), cloud/IaC, distributed systems, APIs, data pipelines and vector stores on iGaming platforms (sportsbook, casino, gaming) for a major client. You’ll oversee a group of engineers and Tech Leads, line-managing leads and owning delivery.

DeepL★3.8 (4)· London

Work with React, TypeScript, Node.js, WebRTC, WebSockets, and streaming architectures. You will join DeepL Voice, building real-time interpretation features for fluid conversations and audio streams. This is a 0-to-1 engineering environment in a cross-functional squad.

DeepL★3.8 (4)· London

You will work with C#, Python, and JavaScript to build full-stack features on the Media Translation team, which develops DeepL’s core translation products—including the consumer web translator, Enterprise Customization Hub, and multimedia localization flows.

DeepL★3.8 (4)· London

Work with C#/.NET Core, Python, Kubernetes, and React on DeepL’s Language AI platform—building translation, writing, and real-time voice solutions used by over 300 million users globally. You will own revenue-critical systems end-to-end, from architecture to production.

DeepL★3.8 (4)· London

You will work with React, C#/.NET, and AI-powered tools like GitHub Copilot and Claude, building full-stack Enterprise features. The team, part of DeepL’s Business Acceleration Track, architects the company’s revenue and billing systems, including Identity & Access Management and subscription architectures for global enterprises.

DeepL★3.8 (4)· London

You will work with C#/.NET Core, Python, React, and Kubernetes, plus AI-assisted tools like Copilot and Claude. You’ll ship end‑to‑end user‑facing features for DeepL’s Language AI platform, which provides human‑like translation, improved writing, and real‑time voice translation to millions of users and businesses globally.

Principal engineers work with Claude Code, AI agents, full-stack backend (distributed systems, APIs, data modelling), cloud (IaC) and data pipelines (vector stores, embeddings). They oversee a group of engineers and Tech Leads on a major iGaming engagement building sportsbook, casino and gaming platforms, owning delivery and steering the teams.

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 AI agents, LLM apps, and automation workflows using Python, TypeScript, or JavaScript. You will apply retrieval, tool calling, evaluations, and guardrails to build AI-native systems for BJAK’s AI Neobank app, automating onboarding, support, KYC, risk review, and operations.

Python, React, JavaScript/TypeScript, AWS, CI/CD, and observability. Build AI-powered language learning and assessment products for a global EdTech platform, integrating LLMs into scalable cloud-native applications with chat/messaging features.

You'll work with Python, TypeScript, C#, Azure, React/Angular, Power BI, Copilot Studio, Claude Cowork, LangChain, LangGraph, and AI orchestration frameworks. You'll design, build, and scale AI agents, automation workflows, integrations, APIs, and RAG pipelines for a professional services organisation investing in AI and cloud technology.

Work with Python, React, Node.js, AWS, Docker, Kubernetes, CI/CD, APIs, PostgreSQL, and AI technologies including LLMs, RAG, and agentic workflows. You'll build production-grade applications and AI-powered workflows for a global commodities trading firm, working directly with front-office users on bespoke integrations from prototype to production.

Work with TypeScript, LangChain, React, GraphQL, Prisma, Temporal, and LlamaIndex to build AI agents that automate high-stakes banking workflows. You will own features end-to-end, architecting a core platform that orchestrates AI, customers, and humans to replace legacy banking bottlenecks.

Build full-stack features with Node.js, React, and TypeScript, and design AI-powered capabilities using LLMs and workflow orchestration, utilizing AI coding tools like Claude Code. The company is an early-stage startup using AI to help organizations modernize supporter engagement, operational workflows, and data usage.

You’ll work with Kotlin, TypeScript, Azure, Terraform, Temporal, and Postgres to build large-scale batch processing infrastructure, an LLM gateway, and enterprise-grade auth/observability for an AI operating system that automates analysis and documentation of complex enterprise software environments. You join a small, talent-dense backend team owning significant core platform components.

You will work in a Rust stack with Python at API boundaries, using Kafka, PostgreSQL/TimescaleDB/PostGIS, gRPC/protobuf, and Kubernetes. The team builds real-time intelligence infrastructure that ingests high-volume data streams, processes them in real time, and surfaces actionable insights. This is a small, high-impact engineering team inside a scaling company.

Build and launch AI-powered products using TypeScript, React, Node.js, Rust, Azure, Docker, and LLM APIs (OpenAI, Anthropic). As the founding product engineer, you’ll own the full stack—from frontend and backend to AI workflows—and work directly with founders to shape product direction from 0 to 1.

You'll work with Python, React, databases, and LLMs as development tools. You'll build AI-powered cybersecurity products end-to-end, owning features from customer problem to production. You'll work directly with the founders as one of the first engineering hires.

Work with C#, .NET 8+, Blazor, Azure (Service Bus, Container Apps, SQL), Terraform, and CI/CD to build event-driven microservices that integrate AI/LLM components at an AI and PropertyTech scale-up. You'll join a small, close-knit team collaborating directly with