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.

As an Enterprise Sales Engineer, you will use Neo4j and the Cypher query language, Terraform for IaC, REST APIs, Apache Kafka/Confluent, plus Python, JavaScript, React and Go. You will be a trusted technical advisor, guiding enterprise customers through deploying the client’s platform for secure, governed AI, and will partner with Sales, Customer Success and Partner teams. The listing does not specify team size.

Deloitte★3.9 (14k)· London

You will use Figma, React, TypeScript, and HTML/CSS to design and front-end code AI-powered agentic experiences, including conversational interfaces and agent-orchestration workflows for clients. The team reimagines how users interact with intelligent platforms, developing trust-centered, multi-step AI interactions. You will manage design workstreams and mentor junior designers and front-end developers.

DeepL★3.8 (4)· London

You will work with C#, Python, and JavaScript to build full-stack features on the Media Translation team, which develops DeepL’s core translation products—including the consumer web translator, Enterprise Customization Hub, and multimedia localization flows.

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.

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.

Palantir★3.9 (37)· London

You will work with Python, Java, C++, TypeScript/JavaScript, LLM workflows, and cloud infrastructure. As a Forward Deployed Engineer, you embed with customers to solve mission-critical problems by deploying software and AI into their high-stakes operations. You own projects end-to-end in small, high-trust teams.

Palantir★3.9 (37)· London

Interns work with Python, Java, C++, TypeScript/JavaScript, LLM workflows, and cloud infrastructure. They embed with customers to build custom applications and production solutions for high-stakes problems, such as predicting wildfire risks or optimizing global supply chains.

Palantir★3.9 (37)· London

Interns contribute to shared infrastructure powering Palantir Foundry, Gotham, and Apollo, plus internal tools like Rubix and Mission Manager. Work spans backend, developer, frontend, or storage infrastructure using Java, C++, Python, TypeScript, or JavaScript, alongside Kubernetes, observability tools, and production PaaS.

Palantir★3.9 (37)· London

You’ll work with Java, C++, Python, TypeScript, JavaScript, Kubernetes, Cassandra, Chromium, and open-source tools. As a new-grad infrastructure engineer, you’ll contribute to the shared infrastructure behind Palantir Foundry, Gotham, and Apollo—platforms deployed at key public- and private-sector institutions—as well as to Rubix and Mission Manager for sensitive environments. Teams are small, focused on backend, developer, frontend, or storage infrastructure, or on production infrastructure including a Kubernetes-based PaaS, Apollo, and Signals.

Palantir★3.9 (37)· London

You'll use Java, Go, and TypeScript alongside open-source tools like Cassandra, Spark, Elasticsearch, React, and Redux with Gradle and GitHub. You'll contribute to Palantir Gotham, Apollo, or Foundry—data platforms deployed across critical institutions.

Meta★4.0 (1.1k)· London

Principal engineers at Meta work with C, C++, Java, Python, Javascript, or Hack to build and scale infrastructure powering products like Facebook, Instagram, WhatsApp and AR/VR. They drive technical strategy, resolve performance and scalability issues, and lead cross-company engineering efforts to connect billions globally.

Microsoft★4.2 (9k)· London

This role involves coding in C, C++, C#, Java, JavaScript, or Python, applying AI, LLM tooling, and CI/CD practices. Engineers join a cross-functional team of software engineers, data scientists, and designers to build production-ready, AI-powered solutions for strategic customers, owning end-to-end system design for cloud and AI workloads.

Google★4.3 (6.2k)· London

Manage engineers building Google’s Learning Platforms within the Global Business Organization, which powers Google’s ecosystem of products and services for customers and partners. Work with back-end languages (Java, Python, Golang, C++) and front-end (JavaScript, TypeScript, HTML, CSS), plus ML model fine-tuning and evaluation.

Meta★4.0 (1.1k)· London

You will work with C, C++, Java, Python, JavaScript, or Hack, building large-scale infrastructure applications and integrating AI tools. As a principal engineer on Meta's infrastructure team, you will drive technical strategy and roadmap for cross-company efforts to improve efficiency and scalability.

Build AI agents, LLM apps, and automation workflows using Python, TypeScript, or JavaScript. You will apply retrieval, tool calling, evaluations, and guardrails to build AI-native systems for BJAK’s AI Neobank app, automating onboarding, support, KYC, risk review, and operations.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.

Python, React, JavaScript/TypeScript, AWS, CI/CD, and observability. Build AI-powered language learning and assessment products for a global EdTech platform, integrating LLMs into scalable cloud-native applications with chat/messaging features.

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

Work with Nvidia GB200 72NVL CX8 and AMD MIxxx architectures, coding in C, C++, C#, Java, JavaScript, or Python to benchmark, profile, and debug GPU clusters. You will help build foundational models powering Microsoft’s personalized AI assistant, Copilot, spanning training and inference infrastructure, model architecture, and data curation.

Work with Python, BeautifulSoup, Selenium, and Apify to scrape dynamic web content, extract data from complex structures, and deliver structured datasets. You will join the Tendem project, driving specialized data scraping workflows for real-world applications. LLM and AI frameworks are also used to enhance automation.

Databricks★3.0 (21)· London

You will work with Python, Scala, JavaScript/TypeScript, Apache Spark, and cloud ecosystems (AWS, Azure, GCP) to build production-grade data and AI solutions on the Databricks platform. In this hands-on role, you lead architecture and design decisions while embedding with customer teams to deliver end-to-end data pipelines, ML/AI models, and user-facing applications.

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.