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.

Java back-end developer using microservices, REST APIs, AWS (Lambda, EKS, RDS, S3, MSK), CI/CD, and AI tools (GitHub Copilot, LLMs). Builds next-gen trading and cash management systems for the Short-Term, Cash, and Collateral desks, modernizing platforms and migrating to AWS.

You will work with AWS, Kubernetes, Terraform, Python, Java or Scala, and AI-driven development tools (Claude, LLMs). You will build and maintain the distributed-compute and data-science platform that powers Macquarie's trading and analytics workflows, collaborating with quantitative analysts and trading desks.

You will work with Python, LLMs, agentic workflows, retrieval-augmented generation (RAG), and internal AI platforms. The Tactical AI Automations team deploys and supports AI tools across PIMCO's Portfolio Management and Analytics groups, including operational support for Lane Assist and POET (portfolio optimization tools).

Edited★2.7 (3)· London

You will work with Python, *nix, LLMs, MCP, Django, Flask, FastAPI, Elasticsearch, and SQL databases. You will build an AI chatbot with agents and tooling, and scale a large-scale retail data infrastructure on AWS and bare metal for the company's AI-driven retail intelligence platform.

Senior WordPress Developer role: build bespoke WordPress sites and apps using PHP, MySQL, ACF, WooCommerce, Gutenberg, JavaScript (ES6+), SASS/SCSS, Git, Composer, npm, Vite, CI/CD. You’ll also drive AI-assisted development (RAG, MCP, Copilot) and mentor junior developers.

EXL Service★3.7 (2k)· London

You will work with Python, FastAPI, LLM frameworks (prompt engineering, RAG, agentic systems), and cloud AI platforms (Azure OpenAI/AWS Bedrock/Claude) on Kubernetes. As a Sr. AI Architect & Client Partner at EXL, a data and AI services company, you will design and deliver production-grade Generative and Agentic AI systems for enterprise clients, converting ambiguous mandates into secure, scalable solutions while shaping deals and reusable IP.

Insulet Corporation★3.1 (189)· London

Lead a globally distributed MuleSoft engineering team owning the AI Enablement Integration portfolio. The role works with MuleSoft Anypoint Platform, AI Gateway, Model Context Protocol (MCP), Agent Fabric, CloudHub 2.0, and Flex Gateway to make enterprise systems and APIs securely available to AI agents and automation platforms.

Sovos★3.3 (105)· London

Design and build Snowflake architecture and dbt model infrastructure for the topline financial data chain (billing, ARR, revenue recognition) at Sovos, a global tax compliance leader. Use advanced SQL, dbt, and optionally Python, Azure/AWS, and MCP to deliver production pipelines that support FP&A, Accounting, and AI consumers through financial close.

Verkada★3.1 (18)· London

Use Gumloop, Claude, Workato, Retool, APIs, and lightweight code alongside Salesforce and Marketo to build AI-powered marketing automations and agents. You will lead campaign operations for Verkada’s Marketing team, connecting workflows with data warehouses and internal resources to reduce repetitive work and improve execution.

Verkada★3.1 (18)· London

You will work with Gumloop, Claude, Workato, Retool, APIs, Salesforce, Marketo, data warehouses, and optionally SQL/Python/TypeScript. The Marketing Operations team builds AI-powered automations, agents, and campaign infrastructure to streamline demand generation and improve marketing execution.

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.

Google★4.3 (6.2k)· London

This role uses Google Cloud Platform (GCP), Vertex AI, Gemini models, LangGraph, CrewAI, and ADK to build agentic workflows, MCP servers, and RAG-like architectures. You embed with strategic customers to code, debug, and ship production-grade GenAI solutions, addressing integration, data readiness, and state-management blockers. You also build evaluation pipelines and observability frameworks while co-building with customer engineering teams.

You will architect and maintain GCP/Cloud Run infrastructure and secure data platforms, using AI-agentic tools like Claude Code and Cursor to ship production features. NatureAlpha builds the alphaX platform, fusing geospatial data with financial datasets for institutional investors to manage climate and supply-chain risks.

Equinix★3.7 (391)· London

Leading engineering pods building the orchestration layer, agent capabilities, dashboards, and enterprise integrations for Equinix's software delivery lifecycle platform. Work involves LLM-powered applications, agentic systems (MCP/A2A), APIs, event-driven systems, and cloud platforms.

Design and build the Snowflake schema and dbt model architecture for the financial data pipeline, owning ingestion, transformation, and close-ready outputs for FP&A and Accounting. You will also extend dbt models for OPEX, COGS, and commissions, and integrate CRM/ERP systems like NetSuite or Salesforce. This role supports Sovos’ global tax compliance platform.

You will work with Python, Java, TypeScript/JavaScript, SQL, AI SDKs, and cloud platforms (AWS, Azure, GCP) to build LLM orchestration, RAG, MCP, and agentic AI patterns. As technical

Okta★3.9 (70)· London

Principal Forward Deployed Engineer at Okta: work with OAuth 2.0, OIDC, SAML, SCIM, OPA, Cedar, OpenFGA, AI agent platforms, and MCP. Define canonical patterns for agent identity, delegation, audit, and kill-switches across the most strategic enterprise deployments. Own the reference architecture the FDE team builds from and shape the product roadmap.

Insulet Corporation★3.1 (189)· London

You will lead a globally distributed MuleSoft engineering team, using MuleSoft Anypoint Platform, AI Gateway, MCP, Agent Fabric, API-led connectivity, CloudHub 2.0, and Flex Gateway to build secure, governed integration capabilities for enterprise AI agents, automation, and intelligent workflows. This role owns the AI Enablement Integration portfolio at Insulet, a company pioneering “Liveable Technology” to transform diabetes care.

You will work with Java, JavaScript, Groovy, SQL, AWS, Terraform, Kubernetes, and Docker to build and support API platforms. The API Management Platform team manages gateways, authentication, authorization, throttling, and quota for Elsevier's APIs, providing analytical dashboards and a developer portal.

Intercom★3.5 (4)· London

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

You’ll build automations, agents, and tooling using Python, TypeScript, APIs, LLMs (agents, tool use, retrieval), and databases for an AI-powered front desk product that answers calls, emails, and messages for UK letting agents. You will automate lead sourcing, enrichment, scoring, CRM hygiene, and pipeline reporting for the commercial team.

White & Case★4.0 (120)· London

Works with Python, JavaScript, MCP, agentic AI frameworks, LLMs, and cloud platforms (Azure, AWS) to architect and deploy AI tools. As technical lead of the Applied AI Lab, the role oversees design, development, testing, and deployment of AI solutions to support legal practice and firm-wide innovation. Manages and develops a multidisciplinary team of legal engineers.

WPP Enterprise Solutions seeks a Principal Technical Architect to design AWS serverless and agentic AI platforms (Bedrock, RAG, MCP) using TypeScript/JavaScript, IaC (Terraform/CDK), and CI/CD. The role leads client engagements on scalable, production-grade commerce and agentic AI systems within the Commerce & Technology division, owning architecture, governance, and hands-on delivery.

VML★3.6 (80)· London

Lead and design agentic AI platforms and enterprise cloud applications on AWS, using serverless patterns, Bedrock, and orchestration/RAG/memory components alongside TypeScript/JavaScript, Terraform/CDK/CI/CD. The role, within VML's Commerce & Technology division, builds production-grade AWS solutions for global brand digital experiences and guides clients on Agentic Commerce standards.