Wise★3.5 (42)· London

Lead a growing Solutions Engineering team in EMEA, providing technical consulting and product guidance to top-tier banks integrating Wise’s international finance products via REST API. Work with RESTful design, OpenAPI, OAuth2, and microservice architecture to architect integrations and influence the product roadmap.

Design, build and deploy production Generative AI applications, LLM-powered solutions and agentic frameworks using Python, LangChain, LangGraph, and OpenShift. You will automate enterprise workflows with intelligent agents, working with PostgreSQL and pgvector as part of Citi’s COO-Technology team building scalable AI for global operations. This is an Individual Contributor Staff Engineer role.

Google★4.3 (6.2k)· London

Google Cloud AI offerings (Vertex AI, Gemini), modern multi-agent systems (LangGraph, CrewAI). This role drives Gemini Enterprise adoption by industrializing AI excellence, moving licenses to activated, and ensuring production-grade deployment of AI agents and workflows. It leads the GE Accelerator efforts.

EXL Service★3.7 (2k)· London

Design AI architectures on Azure using .NET, React, LLMs, RAG, OCR, and agentic frameworks (LangGraph, AutoGen, CrewAI) to build production-grade GenAI platforms. The role focuses on processing complex insurance documents for underwriting, claims, and reinsurance use cases. You will lead and mentor a team of .NET, React, and GenAI developers.

Design AI architectures on Azure using .NET, React, LLMs, Azure OpenAI, RAG, Agentic AI (LangGraph, AutoGen, CrewAI), OCR, microservices, and Azure AI Search. Build scalable GenAI platforms for intelligent automation in insurance functions like underwriting, claims, and reinsurance. Lead and mentor .NET, React, and GenAI developers.

Lead engineers use Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL; Git, MacOS/Linux, and CI/CD; and AI-assistive tools. They lead multi-client software consultancy engagements, building and delivering production agentic systems and ML-powered features. The team is typically one to two clients per year.

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.

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.

Wise★3.5 (42)· London

Build backend

Capgemini★3.7 (11k)· London

You will work with Python, LLMs (GPT, Claude, Gemini, Llama, Mistral), RAG pipelines, vector databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus), and frameworks like LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen. You will design, develop, and deploy generative AI applications for enterprise use cases at Capgemini, an AI-powered global business and technology transformation partner.

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.

ByteDance★3.8 (238)· London

Embedded in customer environments, you will rapidly develop and debug AI applications using Prompt Engineering, Fine-Tuning, RAG, and Agent frameworks like LangGraph or CrewAI, integrating with cloud service APIs/SDKs. You will build production-grade Agent systems, evaluation pipelines, and observability frameworks. This role is with ByteDance, the company behind products such as TikTok.

8th Light★0.0· London

You will use Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, SQL, Git, CI/CD, and AI-assistive tools. As a lead technologist at a technology consultancy, you will lead client engagements building agentic products, platforms, and full ML lifecycle systems. You will mentor colleagues and lead architecture discussions on complex projects.

8th Light★0.0· London

At 8th Light, a technology consultancy, you'll build production-grade platforms and agentic systems using Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL. You'll lead platform strategy and delivery for multiple clients per year, advising on architecture, scalability, and AI/ML integration.

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.

ByteDance★3.8 (238)· London

Embedded in customer environments, this role rapidly develops and debugs AI applications (Prompt Engineering, RAG, Agent systems) using cloud architecture, Vibe Coding, and frameworks like LangGraph or CrewAI. The BytePlus team builds production-grade Agent systems integrated with customers’ APIs and data systems.

Develop and debug AI applications in production, using Vibe Coding, Prompt Engineering, RAG, and Agent frameworks like LangGraph or CrewAI. You will build prototypes and production-grade Agent systems within customer environments, integrating with their APIs and data systems. You’ll design cloud architectures and create observability frameworks for accuracy and latency.

Netbuilder★3.0 (1)· London

Full-stack developers use Java, Spring Boot, React, TypeScript, Oracle, MySQL, Git, Jenkins, Spinnaker, Docker, and Kubernetes to build, enhance, and support scalable web applications, APIs, and enterprise platforms for NETbuilder, a digital solutions provider.

Design and develop AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. Build backend services with AWS Lambda, API Gateway, Step Functions, DynamoDB, and IaC tools like Terraform or AWS CDK for enterprise multi-agent workflows and production monitoring.

You will work with Python, C#, JavaScript, or Go, and use Gen AI tools like LangGraph, CrewAI, and Hugging Face, alongside ML frameworks such as PyTorch. Sitting in a cross-functional team with product, data, and platform engineers, you will design, build, deploy, and monitor AI systems that scale across the business.

This role focuses on designing, building, and operating enterprise AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. You will implement RAG, tool calling, and multi-agent workflows, developing backend services with AWS Lambda, API Gateway, Step Functions, and DynamoDB. The position also involves establishing production AIOps with observability, monitoring, and CI/CD pipelines using Terraform or AWS CDK.

Google★4.3 (6.2k)· London

You'll work with Google Cloud AI offerings (Vertex AI, Gemini, ADK), multi-agent systems (LangGraph, CrewAI), coding agents, and open-source developer tools. You drive partner recruitment and adoption of Google Cloud services, coordinating Forward Deployed Engineer resources and supporting partner teams embedding in enterprise accounts.

You will design and maintain automated UI, API, and service-level tests in TypeScript using Serenity/JS and Playwright, plus Python/pytest and C#/.NET. The role involves testing the ACE application and internal platform tooling for a decentralised AI platform optimising energy in data centres.

You will develop AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. You will build and operate enterprise multi-agent workflows with RAG, tool calling, serverless AWS services, and production AIOps. The role involves designing, deploying, and monitoring scalable AI architectures with CI/CD and Infrastructure as Code.

Google★4.3 (6.2k)· London

You will build production-grade agentic AI solutions using Python, multi-agent frameworks (e.g., LangGraph, CrewAI), vector databases, and RAG architectures on Google Cloud. This is a forward-deployed role, embedded within customer environments to architect, code, and ship bespoke AI systems, bridging Google's AI products with client infrastructure. Fluency in French or German is required for this customer-facing role.