You will work with Python, AI coding agents (e.g., Claude Code, Codex), and potentially AWS, Kubernetes, and Temporal. Unitary builds Virtual Agents — AI-powered software workers that automate complex workflows end-to-end in customer tools, focusing on commercial insurance, marketplaces, and primary healthcare.

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'll work with Python, building and deploying LLM-powered systems from scratch. As one of the first technical hires, you'll design and shape AI systems that solve a real-world problem, collaborating directly with the founding team.

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.

Unity★3.5 (46)· London

Work with Unity’s early-stage Developer Data Framework, Diagnostics, IAP, Webshop, and D2C solutions, engaging mobile developers and studios across EMEA. You will bridge customer feedback to product, engineering, ads, and marketing teams, building go-to-market motions from scratch for emerging monetization and audience growth tools.

Build and own the machine learning models (propensity, uplift, contact strategy) that decide who, when, how often, and on which channel (voice, WhatsApp, email, SMS) Murphy's AI agents contact debtors to maximize recovery within legal limits. Work in Python, TypeScript, AWS, and PostgreSQL; design, run, and ship A/B tests and bandits on live traffic.

Build sub-80ms retrieval and ACL-gated state infrastructure for multi-agent coordination using LangGraph, CrewAI, AutoGen, and custom frameworks. Own the core retrieval, SDK, and API surface end-to-end. This is a founding engineer role working in-person daily with a small team in London.

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.

Intercom★3.5 (4)· London

You will lead product engineering teams building Fin’s Customer Agent, a single AI agent that works across support

Build a new category of SaaS using React on the frontend and Python with Django, Flask or FastAPI on the backend, with cloud technologies desirable. The company uses AI and machine learning to help businesses predict revenue, drive customer loyalty, and capture value from existing customers.

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.

You will build Python (Prefect) backends, React frontends, and core ML systems, including agentic AI features and evaluation pipelines. The platform prioritizes cybersecurity threats using real-world attacker logic to focus on exploitable attack paths.

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.

You'll work with Python, SQL, Airflow, PyTorch, Spark, AWS, and ML Ops tools to build and ship production-grade machine learning models. The team creates the intelligence layer behind a UK on-demand labour platform, forecasting demand and matching workers to shifts.

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.

Use computational chemistry tools, Python (PyTorch, ASE, RDKit), and APIs to build technical resources for CuspAI's AI platform that accelerates materials discovery for energy, carbon capture, and semiconductors. This role also provides scientific advisory and leads workshops for enterprise and research partners.

Work with Python, PyTorch, JAX and time-series modelling to build and deploy physics-informed machine learning models. You will design, train and deploy models for complex industrial operational systems, working with sparse and noisy real-world data as an early ML hire at a company building AI for manufacturing.

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.

You’ll work with SQL, Snowflake, dbt, Fivetran, and Claude to build the analytical foundation for Lendable’s US Loans team. You will own and improve data models supporting lending decisions, pricing, portfolio analysis, and investor reporting, and drive dbt model development to streamline insight generation.