Build and scale agentic AI workflows using LLMs, fine-tuning, and production deployment. As the fourth hire at Bead AI, you’ll replace manual audit checklists with real-time autonomous agents for Fortune 500 enterprises.

Lead zero-to-one development of a fintech platform for emerging-market payments, using TypeScript, React, and Node to build ledger, custody, and settlement systems. You'll architect full-stack features integrating digital assets with traditional banking rails.

You will work daily with TypeScript, React, and Python across the full DeepEditor stack. The product is an AI-powered performance editing tool for Hollywood studios. As the technical anchor, you will mentor a growing team of fifteen engineers.

You will work with Python and React, standardising backend practices across Engineering (90 engineers) and R&D (40 engineers/researchers) at Synthesia, the leading AI video platform for business. You will lead multi-quarter projects spanning the entire engineering organization.

Sainsbury’s★3.5 (16k)· London

As Engineering Manager in Integration, you'll lead and coach a multi-skilled team building reusable integration kits, common components, and platform services using JAVA. You'll drive CI/CD, observability, and cloud-native services to standardise how integrations are built, deployed, and operated across Sainsbury’s.

You'll build interactive 3D subsurface visualizations using TypeScript, React, WebGL/Three.js, deck.gl, or Cesium, integrating explainable ML models into a platform for mining decisions. Material Difference is a Cambridge spin-out using explainable AI for critical mineral exploration. As the first product-focused engineer, you'll own the UX and visualization layer.

Build and deploy production-grade agentic systems and RAG pipelines using Python, TypeScript, FastAPI, and React. As a founding engineer, you will lead architectural development of an AI-driven agency model replacing manual workflows with autonomous agents to redefine the global property market.

Build AI-enabled products using Python, TypeScript, Java or Go at a YC-backed AI start-up. Work directly alongside founders to ship customer-facing solutions and shape both product and engineering culture from day one.

As a founding AI engineer, you will work with LLMs, Python, PostgreSQL, and React/TypeScript to build production-ready algorithms and evaluation pipelines for patent generation. You will lead proprietary algorithm development for Solveintelligence’s AI platform, which transforms the intellectual property landscape for 400+ global enterprise customers like DLA Piper.

Work with Python, SQL, JavaScript/TypeScript, NumPy, Pandas/Polars, visualization libraries, and deep learning frameworks (PyTorch, JAX, or TensorFlow) to design and deploy full-stack data-driven applications and machine learning solutions. You will be embedded with Arsenal's Men’s First Team Analysis department, building tools that directly support coaching and analysis workflows.

You will work with LLMs, chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI to build cognitive systems. The Science team designs memory and decision-making frameworks to create synthetic populations for behavioral prediction.

Design and evolve multi-agent systems and LLM pipelines on AWS Bedrock using LangGraph, Strands, Python, and frameworks like CrewAI. You will architect agent topologies, manage cloud infrastructure (ECS Fargate, Lambda, Step Functions), and build evaluation frameworks for AMPLIFYR’s AI-powered brand analytics platform.

You will work with Python, Node.js, PyTorch, OpenAI/Anthropic/open-source LLMs, SQL & NoSQL, Kubernetes, and Docker. You own the inference and orchestration layer for a proactive smart assistant that handles multi-step reasoning, tool calls, and long-running workflows, turning model capabilities into stable, production-grade APIs.

Build and ship AI features using Python, PyTorch/JAX, LLMs (OpenAI-style APIs, LLaMA, Qwen), vLLM, and vector DBs. You'll work on a proactive smart assistant that handles long-running workflows, persistent context, multi-step reasoning, and external tool interaction for everyday users.

Senior Java Developer using Java, multithreading, concurrency, data structures, algorithms, and Linux internals. The role is within a global consultancy delivering software engineering and transformation projects, primarily for banking and financial services.

You will use TypeScript, Next.js, Tailwind CSS, Motion, and Figma to build and own Attio’s marketing website. You’ll work within Studio, a multidisciplinary creative team, to launch product experiences and campaigns for the company’s CRM platform. This is an individual contributor role, with mentorship of other design engineers as the team grows.

VueJS 3, JavaScript (ES6), HTML5, CSS3 (SASS), RESTful APIs, GIT, Azure DevOps (CI/CD), Jest, Cypress/Playwright. Build and maintain modern web applications, developing reusable UI components and ensuring responsive, accessible, performant frontends.

Tecknuovo★0.0· London

You'll work with React, TypeScript, Node.js and/or Python, AWS or Azure, infrastructure-as-code, containerised workloads, CI/CD pipelines, and relational and NoSQL databases. You'll deliver end-to-end features across frontend, backend, and cloud for cloud-native digital services in government and enterprise environments, working in a high-performing Agile delivery team.

Python (FastAPI), TypeScript (Express), AWS (serverless), Terraform, Docker, PostgreSQL, DynamoDB, GitHub Actions, and React. The team builds the Orchestra control plane for data and AI, used by enterprises like Experian and Octopus Energy.

Teksystems★3.8 (4.7k)· London

You will work with Java (Spring Boot) and Angular to enhance and maintain a large-scale customer relationship management platform for a Tier 1 banking client.

Work with Java, Spring Boot, REST APIs, microservices, and cloud technologies to design and develop scalable backend solutions for critical banking platforms. You will join an experienced engineering team building high-impact financial services used across a global banking organisation.

Design and deploy AI applications across the full stack using modern AI frameworks and LLMs. You will join a dedicated team at the heart of a leading global financial organisation’s AI function.