You will build and evolve customer-facing interfaces for AI Virtual Agents using React, TypeScript, Next.js and Vite, and refactor the frontend into a scalable platform with a shared component library and design system. Unitary’s factory builds custom operations agents that complete complex workflows end-to-end in customer tools.

A Senior AI Engineer at Stakemate will use agent frameworks (LangGraph, LlamaIndex, Semantic Kernel, ADK), RAG, Python, cloud services (Azure/GCP/AWS), and SQL to move AI from experiments to production. They will shape the platform and architecture for a live betting product at a fast-growing social sports betting startup.

You will work with agent frameworks (LangGraph, LlamaIndex, Semantic Kernel, ADK), RAG pipelines, vector stores, Python, SQL, and a major cloud (Azure AI Foundry, GCP, or AWS). You will take AI agents from proof-of-concept to production within Stakemate’s live sports betting product, setting the governance and standards for the company’s AI estate. Reporting to the CTO, you will shape the platform and architecture as the company scales.

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.

Koinly★3.0 (1)· London

Work with React 19, TypeScript, TanStack (Router, Query, Table), Radix UI, Mantine, Tailwind CSS v4, Vite, Vitest, Storybook, Highcharts, Sentry, Bun, and RabbitMQ on a data platform that reconciles crypto transactions and tax obligations for Koinly’s web application, with a React Native mobile app joining scope later.

Senior WordPress Developer role: build bespoke WordPress sites and apps using PHP, MySQL, ACF, WooCommerce, Gutenberg, JavaScript (ES6+), SASS/SCSS, Git, Composer, npm, Vite, CI/CD. You’ll also drive AI-assisted development (RAG, MCP, Copilot) and mentor junior developers.

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.

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.

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.

Lead AI engineers use Python, LangChain, vector stores, and LLMOps tooling to build and operate production generative AI applications like copilots and agentic workflows. They design RAG pipelines, own end-to-end development, and integrate with enterprise data systems and APIs. This player-coach role seeds and grows the AI Engineering function within GCG technology at Capital Group, a global investment firm.

You’ll use Python, LLMs, RAG pipelines, embeddings, vector storage, and cloud-native tools to build production generative AI applications—copilots, assistants, and agentic workflows—that improve Capital Group’s investment process.

Work with TypeScript, LangChain, React, GraphQL, Prisma, Temporal, and LlamaIndex to build AI agents that automate high-stakes banking workflows. You will own features end-to-end, architecting a core platform that orchestrates AI, customers, and humans to replace legacy banking bottlenecks.

Build production-grade generative AI systems using Python, LlamaIndex, LangChain, LangGraph for RAG pipelines and agentic workflows at an award-winning B2B consultancy. Emphasizes evaluation for correctness and reliability, with hands-on technical leadership and mentoring.

UST★3.7 (1k)· London

Design and deliver agent-based, LLM-powered enterprise solutions using Python, LangChain, LlamaIndex, vector databases, and AWS. You will build multi-agent orchestration workflows, RAG pipelines, and production-grade backend services.

You will work with Python, LangChain, LlamaIndex, RAG, vector databases, microservices, and AWS to build production-grade agent-based AI systems. You’ll design multi-agent orchestration workflows, LLM-powered features, and retrieval pipelines for complex enterprise environments.

8th Light★0.0· London

You will use Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, SQL, Git, CI/CD, and AI-assistive tools. As a lead technologist at a technology consultancy, you will lead client engagements building agentic products, platforms, and full ML lifecycle systems. You will mentor colleagues and lead architecture discussions on complex projects.

UST★3.7 (1k)· London

You will work with Python, LangChain, LlamaIndex, agent frameworks, vector databases, and AWS to build production-grade agent-based AI systems. You will design and develop multi-agent orchestration workflows, LLM-enabled applications with retrieval-augmented generation (RAG) pipelines, and secure APIs, integrating these into complex enterprise client environments.

Design and build production-grade ML systems using MCP servers, recommendation systems, RAG pipelines, LLMs, and foundation models with Python, TensorFlow, PyTorch, FastAPI, and LangChain. You will own the end-to-end AI lifecycle for a sales data platform, deploying models into batch/real-time environments to drive forecasting, segmentation, and early warning systems. This role focuses on embedding context-aware intelligence into decision-making tools for business stakeholders.

8th Light★0.0· London

At 8th Light, a technology consultancy, you'll build production-grade platforms and agentic systems using Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL. You'll lead platform strategy and delivery for multiple clients per year, advising on architecture, scalability, and AI/ML integration.

Lead a team building enterprise-scale AI platforms for a top-tier hedge fund, using Python, C#, Scala, Java or Go; LangChain, LlamaIndex, Claude Code, Aider; MLflow; SQL, Pandas, Polars, Snowflake, Vector Databases; Docker, Kubernetes, Helm, Flux; and Airflow, Dagster, DBT. You'll architect multi-agent systems, orchestration frameworks, and production AI applications to transform investment workflows.

You'll work full-stack with Python/Django, React, PostgreSQL, and applied AI tools like LangChain/LlamaIndex and RAG systems to build Pairwise's AI-powered technical staffing platform handling recruiting through offboarding. As a senior engineer, you'll architect core product features end-to-end, own technical planning, mentor team members, and shape product direction alongside experienced founders in a small, fast-moving startup.

Python, SQL, PyTorch/TensorFlow, Hugging Face, LangChain, MLflow, Docker, Kubernetes, AWS/Azure/GCP, Databricks, Snowflake. You will build, deploy, and optimize ML and Generative AI solutions, including RAG systems, AI agents, and LLM applications.

Work across the stack with React, TypeScript, and Node.js or Golang on privacy-focused systems and architecture that keep users' location data inaccessible. As part of Wheely's small core-engineering team, you'll collaborate with Product Managers, Designers, and Software Engineers to shape solutions from concept through production.

Google★4.3 (6.2k)· London

You’ll work with Kubernetes/GKE, BigQuery, Spark, Kafka, Vertex AI Vector Search, LangChain, LlamaIndex, Gemini, and Anthropic. As a Customer Engineer on the UK/IE Startups & Scaleups Growth team, you guide high-growth startups in scaling products on Google Cloud and implementing advanced AI workloads.

bp★3.8 (5.2k)· London

You will work with Python, Java, Azure, LLMs, vector DBs, and RAG patterns, using tools like LangChain, Haystack, and Hugging Face. As part of bp's AI organization, you will design and deploy scalable, production-grade AI applications such as conversational bots and AI-powered search for the oil and energy sector.