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.

You will build and evolve customer-facing interfaces for AI Virtual Agents using React, TypeScript, Next.js and Vite, and refactor the frontend into a scalable platform with a shared component library and design system. Unitary’s factory builds custom operations agents that complete complex workflows end-to-end in customer tools.

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.

Python, PyTorch, JAX, LLMs, vLLM, vector databases and modern agent frameworks will be used. The stealth AI startup is building a pre-launch, next-generation AI assistant for everyday tasks, conversations and workflows — a 0-to-1 opportunity on a small engineering team.

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.

You'll work with FastAPI, TypeScript, React, OpenAI/Anthropic, PostgreSQL, and Azure to build AI agent systems—from voice interfaces to workflow orchestration—for aircraft maintenance and manufacturing. Fleetcraft builds infrastructure that helps technicians maintain and manufacture aircraft.

Build with Python, Go, or Java on the backend, and React/TypeScript on the frontend, using PostgreSQL and non-relational stores, with Docker, Kubernetes, and cloud infrastructure (AWS, GCP, Azure). This role owns full-stack delivery of the B2B product—a campaign, device management, and insights platform for retail and brand partners—along with API design and distributed systems. The team includes engineers, product, and platform groups, working closely with the Head of B2B Product.

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.

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.

Wolf & Badger★3.0 (3)· London

Senior Product Manager — Wolf & Badger. Work with AI agents, LLMs, APIs, MCP, commerce and integration platforms, plus structured product data, payments and fulfilment infrastructure. Own the product strategy for the agentic-commerce platform that powers the marketplace’s distribution channels, retail media, brand integrations and partner connectivity. You will be the sole product manager on this remit, working with a team of c.10 engineers and the VP Technology.

Work with TypeScript, Electron, React, NestJS, Prisma, and AI coding agents (Cursor Agents, Claude Code, Devin). You'll build an AI edit assistant integrated directly into DaVinci Resolve and Adobe Premiere Pro, not a separate app. As the first engineering hire, you'll work closely with the CTO.

You'll work with Python, TypeScript, cloud infrastructure, event-driven systems, and third-party integrations to build and ship core product features. Elyos builds AI voice agents that handle calls, emails, WhatsApp messages, bookings, payments, and CRM tasks for trades businesses.

Build backend services in Java/Spring on AWS, working with event-driven systems (Kafka, event sourcing). You’ll join a pre-launch UK fintech building an AI-powered autonomous savings app, contributing to the money-movement engine, ledger, and APIs alongside the CTO.

TypeScript, Node, React, AWS, Kubernetes, GitHub Actions, Terraform, and Grafana. You'll own Minut's guest experience surface—messaging flows, guest app, and integrations that turn sensor events into delightful guest experiences. The team is 20+ engineers across product, platform, mobile, firmware, and ML.

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.

Design, build

You will architect core services using React and Python, and develop AI agents with Agentic AI, RAG, and prompt engineering for text-based LLM applications. The team is building a platform that automates end-to-end intelligence investigation workflows, moving beyond data aggregation to deliver tailored insights.

Work with AI/ML systems, agentic workflows, LLMs, and enterprise data/automation platforms. You will design and deliver scalable, AI-powered solutions that help enterprises use data and automation for decision-making, partnering with clients from concept through execution.

Accenture★3.9 (29k)· London

Works with AI platforms (Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, Palantir) and cloud-native tools (APIs, microservices, containerization, serverless) plus agentic solutions (agents, orchestration, RAG). Embedded inside client enterprises to deploy, scale, and operationalize AI platforms, owning production outcomes from prototype to working system.

Work with Python, modern ML tooling, and LLM inference infrastructure to build and deploy specialized AI agents. You will own the end-to-end AI/ML stack for a research-led company that builds simulations and language models for social science and public policy problems.

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 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.