You will work with Python, LLMs, and modern generative AI technologies to build and launch AI-powered products used by millions of learners and professionals globally.

Build high-performance front ends using React, TypeScript, JavaScript, React Hooks, and ES6/ES7 within a leading HFT firm's trading environment.

You will work with Java, microservices, REST APIs, event-driven architectures, AWS (Lambda, EKS, RDS, S3, MSK), containerization, CI/CD, TDD, and AI tools like GitHub Copilot and LLMs. This role builds next-generation trading and cash management systems for PIMCO's Short Term, Cash, and Collateral desks, modernizing platforms and migrating to cloud-native AWS services.

You will work with Java 11+, Spring Boot, microservices, event-driven architecture, cloud platforms (Azure, AWS, GCP), Terraform, CI/CD (Azure DevOps, GitHub, Jenkins), and AI development tools. The team builds post-trade technology solutions, APIs, client reporting platforms, and customises trading systems for capital markets.

Build and lead development of high-performance Java applications for FX risk management, using AI tools (GitHub Copilot, Devin.AI, Citi Squad, Stylus Workspaces with Gemini/OpenAI/Claude/Llama) and modern DevOps (Docker, Kubernetes, OpenShift, CI/CD). The greenfield platform is 3 years in production with a 10+ year strategic commitment.

Senior UI Software Engineer building high-quality trading GUIs for Citi's FX pricing platform. Work with TypeScript, React, HTML5, CSS, JavaScript (ES6+), Chromium/Electron/OpenFin, FDC3, REST/WebSocket APIs, Kafka/Solace/Tibco, and CI/CD (Jenkins). Provides technical leadership, driving AI integration and performance engineering across globally distributed teams.

You will work with Java, Spring Boot, React, TypeScript, Node.js, Kotlin, microservices, and testing tools like Jest and Cypress. As part of Citi’s Finance Technology team, you will lead the re-platform of applications supporting Finance, Risk, and Controllers.

You will use Java, Spring Boot, RESTful APIs, microservices, SQL, and AI development tools like GitHub Copilot or Claude, with Angular, TypeScript, HTML, and CSS desirable. The team builds large-scale enterprise applications for a global financial services organization.

Senior Full Stack Kotlin Developer working with Kotlin, Java, Spring Boot, microservices, REST APIs, Node.js, TypeScript and cloud-native tools (AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD). You will build secure, scalable digital services for large-scale public sector and healthcare digital transformation programmes within Agile, multidisciplinary teams.

Use Kotlin, Java, Spring Boot to build microservices and REST APIs on AWS, Azure, or GCP with Docker, Kubernetes, and CI/CD. You'll join a digital consultancy delivering secure, cloud-native solutions for public and private sector clients, with opportunities to mentor junior engineers.

You’ll work full-stack with TypeScript, React, and Python, with Next.js a plus. The company builds a platform for continuous auditing of AI models to ensure transparency, oversight, and fairness in HR tech. As an early product engineer, you’ll join a five-person team growing to ten by mid-2026.

Build high-performance Java services using Spring, event-driven systems (Solace, Kafka, WebSockets), cloud/containerization, CI/CD, and AI tooling. The role is in Citi’s FX Tech core engineering group, designing and evolving scalable, resilient platforms for foreign exchange trading alongside senior engineers and quants.

Core Java, Spring, Rx Java, microservices, Docker, CI/CD, and DevOps. The role is part of the Blade function delivering strategic initiatives for a leading investment bank, focusing on financial markets, event-driven architectures, and e-trading technology.

You'll build full-stack, cloud-native applications using Java, Spring Boot, React/React Native, RESTful APIs, microservices, SQL, and AWS. Working in Agile teams, you'll design and maintain scalable software supporting critical financial-services business operations.

You will work with Python, Java, Go, React/TypeScript, Apache Kafka, PostgreSQL, Git/GitHub, AWS, and CI/CD pipelines. As part of a client-facing delivery team at a digital engineering company, you will design and build technology-enabled platform solutions.

5+ years of backend engineering experience with Python or Node, building distributed systems and serverless architectures on AWS, and ideally with Solidity. The role is with AryaEdge, a company with multiple open product and engineering roles.

Architect low-latency inference pipelines for multimodal LLMs, TTS, and Vision models using Python, C/C++, PyTorch/JAX, TensorRT/ONNX, and custom CUDA/Triton kernels. Optimize with Speculative Decoding and KV-Cache quantization. Iconic Interactive is a seed-stage AI-native video game studio building intelligent virtual actors that speak, move, and react in real-time.

You will work with Python, FastAPI, TypeScript, React, and GCP to design and build services, data models, and APIs. Electric Twin builds a behavioral simulation platform that creates "digital twins" of populations to help organizations predict human behavior.

You'll build features using Svelte/TypeScript on the front end and Python (FastAPI/Django) on the back end, with AWS infrastructure. Tab is a profitable London travel fintech processing real-time payments in 100+ currencies for over 100,000 independent tourism businesses globally.

You'll work with LLMs, chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI. Electric Twin builds synthetic populations for behavioral prediction, simulating human responses for global brands using LLMs.

You’ll build multi-agent systems and LLM pipelines using Python, LangGraph, CrewAI/agent SDKs, and models like GPT, Claude, and Perplexity, on AWS Bedrock, ECS Fargate, Lambda, and Step Functions, with RAG and MCP servers. The role supports AMPLIFYR.ai’s production brand analytics platform, delivering market-positioning insights through multi-agent research workflows.

You will develop and deploy production-grade LLM-powered agentic systems with persistent memory, tool orchestration, and RAG pipelines, integrating with Google Ads, Meta, and CRMs. You will build autonomous agents for marketing operations at a Series A startup building an AI-native teammate for marketing teams. As the second ML hire, you will shape the production stack and product roadmap.

Work with Angular 19, FastAPI, Python, and Kubernetes. Join a 13-person team shipping high-impact features like product launches and partner integrations for Urban Jungle's insurtech platform serving 300,000+ customers.

You'll build Python backends, React frontends, and core ML systems for an AI-driven vulnerability management platform that prioritizes cybersecurity threats using attacker logic. You will own model training, evaluation pipelines, and agentic AI features.

You will work with TypeScript, JavaScript, gRPC, Redux, React Native, React, Next.js, and infrastructure like Google Cloud Platform, Kubernetes, and Docker. The role focuses on building new features and integrations for Emma’s mobile and web apps, which help users manage all their finances.