Founding Engineer role at a London AI startup building an agentic platform for civil engineering. You’ll work with Python, GCP (Cloud Run, Pub/Sub, Postgres), React, Terraform, and LLM techniques like RAG and MCP, owning backend architecture and AI integration directly with the CTO.

Work with Svelte/TypeScript, Python (FastAPI, Django), PostgreSQL, and AWS. Tab is a YC-backed London travel fintech building a payments platform for 100,000+ global tourism businesses, processing thousands of real-time transactions per hour. You will develop features across the stack and collaborate in a tight-knit engineering team.

You will own back-end infrastructure and data strategy at a seed-stage startup building gas sensors and AI that predict food freshness. You will build scalable GCP pipelines, design APIs with Python and FastAPI, and develop full-stack solutions for a mission-driven team of under 20.

You will work with Python, FastAPI, LLMs, RAG architectures, chain-of-thought prompting, and multi-agent tool use. The Science team builds cognitive architectures to create synthetic populations for behavioral prediction, using LLMs to simulate human responses with 95% accuracy.

Work with Python, LLMs, RAG pipelines, agentic frameworks, and integrations with Google Ads, Meta, and CRMs to build production-grade agentic systems. You will design and deploy AI teammates that automate end-to-end marketing operations—from campaign briefs to paid media analysis—for high-growth brands.

Lead AI Engineer role working hands-on with Python, LLMs, AI agents, RAG, vector databases, and cloud-native distributed systems to design delivery of production AI agents and intelligent workflows. You'll architect scalable AI platforms, mentor engineers, and set engineering standards for a fast-growing AI-native company building enterprise AI products for global industrial organizations within a global software enterprise.

You will work with Python, LangGraph, Strands, CrewAI, and OpenAI/Claude Agent SDKs, plus AWS Bedrock, ECS Fargate, Lambda, and Step Functions to design and evolve multi-agent LLM pipelines. The platform is a production-grade AI-powered brand analytics tool that orchestrates models like GPT, Claude, and Perplexity through a proprietary MCP server.

You'll work with Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/message-driven architectures, building clean, tested code for NatWest Boxed's technology product. As part of a cross-functional mission team, you'll collaborate with stakeholders, support junior engineers, and act as a subject matter expert.

Work with Svelte, TypeScript, Python (FastAPI/Django), PostgreSQL, and AWS. You'll build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Join a profitable, lean team of nine as one of the first developers.

Work with Python, TypeScript, LLMs (Claude, Gemini), agent frameworks, RAG, vector databases, and MCP-based tools. The team builds enterprise-grade AI infrastructure

You'll work with HTML, CSS, JavaScript/TypeScript, React or Vue, Git, Jira, Figma, automated testing, and AI tools like Claude Enterprise, in an agile model. As an AI-forward web developer embedded in SharkNinja's D2C business, you'll fix bugs from the ticket backlog and bridge Design and Engineering to buildable requirements. No team size is stated.

Senior Data Engineer role using SQL, Python, Java, Airflow, dbt, Spark, BigQuery, Snowflake, GCP, AWS, and DOMO. You will design and maintain scalable data pipelines for web analytics, CMS, ad tech, and social media, supporting analytics and reporting across Independent Media’s portfolio of digital news brands.

Microsoft★4.2 (9k)· London

You will work with Azure SQL, Azure Database for PostgreSQL, Azure Cosmos DB, Microsoft Fabric, Power BI, Azure Data Services, and Copilot capabilities. You will help organisations modernise their data estates and unlock business value through AI, Microsoft Fabric, and AI-ready data foundations. This role leads strategic customer engagements and mentors colleagues as a recognised technical leader.

You will work with SQL, Python, AWS or Azure, Snowflake, Databricks, infrastructure as code, and CI/CD, plus AI tools like RAG, feature stores, and MCP. As a Data Architect on the AI Advisory team, you own data design across client engagements for a CFO advisory firm, defining architecture to support reliable AI, analytics, and reporting.

You'll design scalable AI architectures using Large Language Models, Retrieval Augmented Generation, AI agents, orchestration frameworks, and cloud-native platforms (Azure/AWS). You'll work with engineering, data, product, and security teams to deliver AI and Generative AI solutions for the AA's enterprise capabilities, shaping the adoption of AI across the organisation.

Capgemini★3.7 (11k)· London

Work with graph databases (Neo4j, Amazon Neptune, TigerGraph, ArangoDB), Azure AI Search, Elasticsearch, Pinecone, Python, Azure, AWS, Kubernetes, Docker, and CI/CD. Design and implement an enterprise knowledge platform enabling AI agents across Insurance, Payments, and Healthcare domains. Lead platform strategy, enterprise architecture, and cross-functional engineering teams.

The role builds and maintains the automation layer for ElevenLabs' influencer/creator marketing program, covering discovery, onboarding, contracts, content tracking, reporting, invoices, and payment alerts. Tech stack includes Zapier, Make, n8n, Python or JavaScript, APIs, webhooks, SQL, plus integrations with social platforms, CRM, finance, Slack, and e-signature tools.

Python and/or C#/.NET, with experience using LLM APIs, retrieval-augmented generation (RAG), prompt engineering, and agent orchestration patterns. This director-level role defines and builds WTW’s enterprise-wide AI engineering capability, creating shared frameworks, reusable patterns, and reference implementations for production-grade generative AI and agentic solutions across the company.

Design, build, and deploy ML models using Python, TensorFlow, PyTorch, Scikit-learn, and LLMs with LangChain, RAG, and vector databases (Pinecone, FAISS). Deploy on AWS, Azure, or GCP, developing REST APIs with FastAPI/Flask. This role is with Aivra Health, a health technology company solving real-world business problems.

Lead AI Engineer at All Your BI: set technical direction and build production-grade AI using Python, LLM APIs (Anthropic, OpenAI, open models), vector databases, orchestration frameworks, evals, observability, and guardrails. The company delivers managed BI services for logistics and industrial clients, integrating AI into products and solutions. The remote team of 60+ data heroes operates with little hierarchy.

Quantiphi★3.3 (60)· London

Architect MLOps strategy and implement enterprise-grade ML/LLM pipelines using AWS SageMaker, EKS, Lambda, API Gateway, and CI/CD tools. Design hybrid MLOps/LLMOps workflows with governance, monitoring, and container-orchestrated platforms. Lead cross-functional delivery for an AI-first digital engineering company serving Fortune 1000 clients.

Work with Cisco and Arista platforms, including VxLAN, EVPN, Meraki, and traditional enterprise networking, plus automation and infrastructure as code. You'll engineer enterprise network solutions for NatWest Digital X, ensuring security, resilience, and operational requirements.

The role involves iOS development using Swift, Java, mobile architecture patterns, Test-Driven Development, and automated mobile testing for financial applications. The work is within Persistent Systems, an AI-led digital engineering and enterprise modernization partner. This position includes leading a team and coaching employees, though team size is not specified.

You will work with Java, Apache Kafka, Agile methodology, and full-stack development to build, test, and debug Java-based applications. You will join Genpact, an advanced technology solutions company that uses process intelligence and AI to help global enterprises transform at scale.

Luxoft★4.5 (669)· London

Work with Python, FastAPI, AWS (eventing, queues, serverless), Git, CI/CD, vector databases, RAG, and LLMs (OpenAI, Azure OpenAI, Anthropic). Build an Agentic AI solution to generate investment insights from sales and research materials, reducing client meeting prep time. Also use React (TypeScript) for UI and possibly AgentCore, AWS Neptune, API Gateway.