You'll work with Python, modern ML tooling, LLMs, and simulations, owning the AI/ML stack including model selection, fine-tuning, and inference infrastructure. Prior Foundry builds specialized AI agents and inference systems to solve complex global policy problems for the public sector in social science and public policy.

You will work with Python, AWS, and Kubernetes as a Junior Fullstack Engineer at AethexAI Inc. The company builds voice AI infrastructure for emerging markets in Africa and the Middle East, processing thousands of daily calls with proprietary speech models. You will support the Forward Deployed Engineering team on custom integrations and platform fixes for enterprise clients.

Work with Svelte/TypeScript, Python (FastAPI, Django), PostgreSQL, and AWS. Tab is a YC-backed London travel fintech building a payments platform for 100,000+ global tourism businesses, processing thousands of real-time transactions per hour. You will develop features across the stack and collaborate in a tight-knit engineering team.

You will work with Python, FastAPI, LLMs, RAG architectures, chain-of-thought prompting, and multi-agent tool use. The Science team builds cognitive architectures to create synthetic populations for behavioral prediction, using LLMs to simulate human responses with 95% accuracy.

Senior AI Engineer, 12-month fixed-term, hybrid. Will build production AI solutions using LangChain, LangGraph 1.2.x, DeepAgents, and Azure AI Foundry. Requires expertise in agentic AI, Python, React, and coding agents like Claude Code, with a strong engineering foundation (TDD, design patterns).

Work with Python, LLMs, RAG pipelines, agentic frameworks, and integrations with Google Ads, Meta, and CRMs to build production-grade agentic systems. You will design and deploy AI teammates that automate end-to-end marketing operations—from campaign briefs to paid media analysis—for high-growth brands.

Lead AI Engineer role working hands-on with Python, LLMs, AI agents, RAG, vector databases, and cloud-native distributed systems to design delivery of production AI agents and intelligent workflows. You'll architect scalable AI platforms, mentor engineers, and set engineering standards for a fast-growing AI-native company building enterprise AI products for global industrial organizations within a global software enterprise.

You will work with Python, LangGraph, Strands, CrewAI, and OpenAI/Claude Agent SDKs, plus AWS Bedrock, ECS Fargate, Lambda, and Step Functions to design and evolve multi-agent LLM pipelines. The platform is a production-grade AI-powered brand analytics tool that orchestrates models like GPT, Claude, and Perplexity through a proprietary MCP server.

You'll work with Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/message-driven architectures, building clean, tested code for NatWest Boxed's technology product. As part of a cross-functional mission team, you'll collaborate with stakeholders, support junior engineers, and act as a subject matter expert.

Work with Svelte, TypeScript, Python (FastAPI/Django), PostgreSQL, and AWS. You'll build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Join a profitable, lean team of nine as one of the first developers.

You'll work with HTML, CSS, JavaScript/TypeScript, React or Vue, Git, Jira, Figma, automated testing, and AI tools like Claude Enterprise, in an agile model. As an AI-forward web developer embedded in SharkNinja's D2C business, you'll fix bugs from the ticket backlog and bridge Design and Engineering to buildable requirements. No team size is stated.

The role builds and maintains the automation layer for ElevenLabs' influencer/creator marketing program, covering discovery, onboarding, contracts, content tracking, reporting, invoices, and payment alerts. Tech stack includes Zapier, Make, n8n, Python or JavaScript, APIs, webhooks, SQL, plus integrations with social platforms, CRM, finance, Slack, and e-signature tools.

Lead AI Engineer at All Your BI: set technical direction and build production-grade AI using Python, LLM APIs (Anthropic, OpenAI, open models), vector databases, orchestration frameworks, evals, observability, and guardrails. The company delivers managed BI services for logistics and industrial clients, integrating AI into products and solutions. The remote team of 60+ data heroes operates with little hierarchy.

You will work with Java, Apache Kafka, Agile methodology, and full-stack development to build, test, and debug Java-based applications. You will join Genpact, an advanced technology solutions company that uses process intelligence and AI to help global enterprises transform at scale.

Luxoft★4.5 (669)· London

Work with Python, FastAPI, AWS (eventing, queues, serverless), Git, CI/CD, vector databases, RAG, and LLMs (OpenAI, Azure OpenAI, Anthropic). Build an Agentic AI solution to generate investment insights from sales and research materials, reducing client meeting prep time. Also use React (TypeScript) for UI and possibly AgentCore, AWS Neptune, API Gateway.

Use React Native (iOS/Android) with Ruby on Rails, Postgres, and JSON APIs; work with TypeScript, Expo, Jest, and Git. You will build the platform managing end-to-end installation of home energy solutions for BOXT and E.ON Next. As technical anchor, you mentor junior engineers and lead mobile architecture.

You will work with Node.js/TypeScript, Ruby/Rails, Nuxt, AWS CDK, serverless event-driven architecture, and the Salesforce platform. As part of the “In Life” squad, you will maintain back-end services, iterate on Digital Renewals customer journeys, develop quoting tools, and build batch jobs.

Develop software using Java, C#, Python, JavaScript, TypeScript, Go, RESTful APIs, microservices, SQL databases (PostgreSQL, MySQL, etc.), MongoDB, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and CI/CD tools. This role builds and maintains enterprise applications and business-critical services for Elite Global Logistics, a logistics firm.

As a UI Software Engineer at NatWest, you will design and develop user interfaces using React, Java-based microservices with Spring Boot, and mobile apps for iOS/Android, while also working with REST APIs, Kafka, IBM MQ, and TDD/automated testing frameworks on a permanent feature team.

Working with JavaScript, ReactJS, AngularJS, Python, Java, AWS, GitLab, Google Cloud Platform, Kafka, Hadoop, PostgreSQL, and Snowflake, you'll join the Engineering Platforms team to deliver a modern software development tool chain for engineers across the bank.

This Full Stack Engineering Lead role at Citi’s Finance Technology team involves hands-on development with Java, Spring Boot, Spring Cloud, React, TypeScript, Node.js, and microservices. The team is re-platforming applications to support the Finance business, focusing on building scalable solutions for regulatory and operational needs. Testing practices use Jest, Cypress, JUnit, and Mockito, with AWS or GCP experience as a plus.

React Native developer will work with JavaScript/TypeScript, APIs, and CI/CD to build and optimise mobile apps for iOS and Android. The role is with a FinTech undergoing a digital transformation programme, modernising core mobile products and improving user journeys.

Work with Microsoft Copilot Studio, Python, Azure, APIs, AI agents, LLMs, and generative AI to build AI-powered tools, automation workflows, and scalable solutions deployed into live business environments within a growing AI and Automation function.

Senior Software Engineer for pricing and availability systems on a global travel and e-commerce platform, using TypeScript, Node.js, C#/.NET or Python, and SQL. Work involves building pricing, quote-caching and availability services, resilient APIs, and improving performance and observability with tools like Datadog and Terraform.

Senior Kotlin backend role with full-stack exposure to Angular/React, Spring AI, reactive streams, and event-driven tools like Kafka or RabbitMQ. You'll build a data integration platform for banks, an open-source schema language, and a greenfield AI agent for autonomous orchestration.