Lead TypeScript and Python development, CI/CD, and API-first design to embed AI into production software platforms. You will modernize legacy systems toward service-based architectures and guide integration with AI services like MCP, working across DevOps, platform engineering, and data science teams.

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’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.

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 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.

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.

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.

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.

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.

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.

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