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Build AI-powered products using Agentic AI, LLMs, and frameworks like Loop Harness and LangGraph in a hybrid London role.
Build and deploy enterprise generative AI apps using Azure OpenAI, LangChain, and RAG pipelines; integrate LLMs into microservices and agent workflows.
Builds AI-powered features like prompt frameworks and agent workflows that automate engineering tasks, integrating LLMs into production systems.
Build and scale AI-powered agent systems and backend services for a climate-focused SaaS platform using Python, Django, and AWS, with LLM frameworks like LangGraph and LangChain.
Build and deploy agentic AI systems on AWS that automate tax and compliance workflows for fintech and enterprise customers using Strands Agents, Bedrock, and Lambda.
Design and deploy agentic LLM orchestration systems to automate internal workflows, enabling users to focus on high-value tasks.
Principal AI Engineer designs and implements AI systems, leading research and development to solve complex problems using machine learning and advanced algorithms.
Build and deploy AI agents for biology research, coach postdoctoral fellows on AI tools, and teach practical AI workflows to accelerate scientific discovery.
Role: Applied AI Strategist Role type: Permanent Location: UK Preferred start date: ASAP LIFE AS A SATALIAN Satalia is WPP’s applied AI and decision science specialist. Founded in 2008 and acquired by WPP in 2021, we…
Build and deploy agentic AI systems on Azure AI Foundry and Databricks for a large Australian insurer, moving PoC models into production.
Senior AI Engineer builds and scales agentic AI systems on Azure Foundry/Databricks for an Australian insurance client, from PoC to production with governance in a regulated fintech setting.
Senior AI Engineer defines production agent systems and reference implementations for a proprietary trading firm, integrating LLMs with databases, APIs, and security controls in a regulated environment.
Senior AI Engineer defines production agent systems and reference implementations for a proprietary trading firm, setting standards for LLM-powered agents, MCP integration, and security in a regulated environment.
Senior AI Engineer at DV Trading builds and deploys custom AI models for proprietary trading, fine-tuning open-weight LLMs and operating on-prem inference infrastructure to reduce costs and latency.
Build and ship production-grade LLM systems, RAG pipelines, and agentic workflows on Databricks, optimizing for latency, cost, and reliability while mentoring peers.
Build and deploy AI-powered automation tools (agents, LLMs, MCP integrations) to speed up software development workflows like coding, testing, and documentation.
Build and scale an AI-powered phone assistant for healthcare, using Python, NLP, and speech recognition to improve patient-practitioner interactions and streamline workflows.
Build and own an AI agent platform that automates operations using LLMs, backend services, and integrations in a fast-paced product environment.
Senior AI engineer builds and deploys applied-AI solutions for an investment bank, partnering with stakeholders to transform data into insights and drive adoption of emerging AI tech.
Build and deploy full-stack AI applications for enterprise clients using Google's AI stack, including Gemini models, Vertex AI, and agentic systems, from frontend to production deployment.
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