You'll build GTM systems using HubSpot, DealHub, Gong, Clay, APIs, webhooks, Python, JS, SQL, and AI tools (ChatGPT, Claude, Copilot, Gemini, Notion AI). This role designs end-to-end systems—from lead enrichment and routing to quote-to-cash—for Monta’s EV charging platform, including prototyping AI agent workflows.

You’ll build customer-facing treasury software using **Python, React and TypeScript**. You’ll own features end to end for TreasurySpring’s Fixed-Term Fund platform, which replaces manual cash-management processes and legacy systems for institutions.

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.

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.

You'll work across the full stack with TypeScript, React, and Python, building a continuous AI-auditing platform for safe and responsible AI deployment in HR tech. As an early product engineering hire at a 5-person startup (growing to 10 by mid-2026), you’ll own product features end-to-end reporting to the CTO.

Build backend services and APIs in Python on Linux for a greenfield system monitoring and performance analysis tool at a top-tier investment bank. You'll develop scalable data pipelines and real-time analytics to detect anomalies and track

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.

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'll work with Python, NLP/LLMs, SQL/NoSQL databases, and cloud infrastructure, designing retrieval, knowledge-base, and reasoning models. You own projects end-to-end at Catapult, which builds personalised AI that understands a user's full work context across email, calendar, Slack, and other tools. No team size is given for this founding role.

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.

You will design, build, and maintain dbt models and work with SQL, Python, and BI tools like Looker or Mode. The company builds cross-border fintech for emerging markets, enabling money transfers and digital financial services.

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.

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 build backend services and microservices using Rust, Go, Python, and Java for X Money, xAI's global payment network targeting 600+ million users. The role involves designing high-scale, low-latency distributed systems for payments, fraud detection, and compliance while collaborating with iOS, Android, and web teams on full-stack features in a startup-like environment.

Use Python, React, AWS (EC2, S3, Lambda), Docker, CI/CD pipelines, and agentic frameworks like LangChain or LlamaIndex. Build AI-powered Digital Twins, Augmented Reality, and Workflow Automation for industrial asset management. Own features end-to-end with full DevOps ownership.

Lead a team of 8 senior engineers using React, TypeScript, Python, FastAPI, Dagster, dbt, Snowflake, and AWS. The company fuses fragmented UK transport data into an operational intelligence layer for councils and highways authorities. This role includes architectural ownership and a path to CTO as the team scales toward 20-30 engineers.

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.

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.

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.

Build systems for sales and marketing using Python, TypeScript, APIs, databases, LLMs, agents, and tool use. The company makes an AI front-desk product that handles calls, emails, and messages, qualifies leads, and books appointments automatically. No team scope is stated.