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.

You will work with React/Next.js/TypeScript and Python on an agentic AI platform that ingests sustainability data, runs scenarios and recommends actions. The company is building a workflow and decision-making layer for sustainability, using AI agents and a knowledge context graph.

You'll work with Python and/or TypeScript, using full-stack JavaScript or backend Python. The role is a founding engineer at a stealth AI company backed by a £100M bootstrapped founder with three successful exits.

You'll work with JavaScript, TypeScript, React, HTML5, CSS, and server-side rendering to build production web applications and responsive interfaces. As a founding engineer at Hyre AI Limited, you'll shape the frontend architecture from an early stage.

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.

You will work with JavaScript/TypeScript, SQL/NoSQL databases, and cloud infrastructure across frontend, backend, data pipelines, and APIs. The team builds an AI-powered investment platform for retail investors to create, backtest, and automate personalized strategies. The FCA-authorised company also integrates with financial data, payments, and custody platforms.

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.

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 will use Python or JavaScript with low-code platforms like Zapier or n8n and integrate LLMs and AI via REST APIs. You will identify and automate manual inefficiencies across the business, building internal automation ecosystems at Goodlord, a platform used by around 3,000 letting agents.

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.

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.

Work with C#, Python, TypeScript, or JavaScript; APIs; databases; and Git. Build features across the frontend and backend for JivPad, an AI-powered communication platform providing real-time call assistance and in-person language translation.

You will build frontend applications using React and TypeScript, develop reusable UI components, and work on real-time features with WebSockets and GraphQL. The company builds a suite of real-time products for enterprise customers in specialized financial markets. The small, experienced engineering team offers significant ownership from day one.

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.

Build agentic workflows in Python with LangGraph or LangChain, vector databases, and LLMs for a real-time AI Tutor and AI Creator. You will own production systems end to end, optimizing for cost, latency and reliability at scale, while mentoring a small team.

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.

Lead a team of engineers building open-source workflow orchestration for n8n. This first-line manager role focuses on either the Governance & Observability team (audit logs, admin controls) or the Licence & Billing team (subscriptions, payments, usage tracking). You will work with modern SaaS technologies in a high-growth environment, directly managing engineers.

Engineering Manager for n8n, an open workflow orchestration platform. You will lead an engineering team focused on either Governance & Observability (audit logs, monitoring, admin controls) or Licence & Billing (subscriptions, payments, metering). This is a first-line engineering leadership role.

You will write scripts in JavaScript or Python using Node.js, interacting with APIs and databases like Postgres to automate data entry and workflow tasks for a London-based partner. As part of a small, fully remote software agency, you will build practical integrations, admin panels, and automated tools that connect internal systems and language models.

Build and scale real-time pipelines, analytics infrastructure, vector databases, and data workflows for an AI assistant that automates property management operations. Work with Python, Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, vector databases (Qdrant, Milvus, pgvector), Pandas, and Polars. This is an early data hire with input into architecture decisions.

React, Next.js, TypeScript, Python, Claude Code, Codex, LangChain, LangGraph, RAG, embeddings, vector databases, and graph databases. You will build agentic AI that ingests unstructured data, reasons, runs scenarios, recommends actions, and learns from outcomes. First engineering hire at a seed-stage startup.

You'll work with Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, and Redis. Your project builds a dataset to evaluate AI coding agents by creating realistic simulated developer environments, designing challenging tasks, and writing verification tests.

You'll co-architect and deploy production AI agents with customers using Python, JavaScript, and LangChain's frameworks (LangGraph, LangSmith). The Deployed Engineering team at LangChain works directly with enterprises building and operating AI agents in production, helping turn prototypes into reliable systems through POCs, architecture design, technical advisory, and post-deployment support across the full customer lifecycle.