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Lead Software Engineer building AI-native enterprise applications for IFS's Enterprise Asset Management team, using Go, TypeScript, DDD, and event-driven architecture to integrate LLM capabilities into production software.
Builds and deploys production-grade AI applications (LLMs, RAG) for fintech, focusing on backend integration, model optimization, and enterprise-grade solutions.
The Lead AI/ML Engineer will build an Agentic AI platform for site reliability and incident automation at RBC. The role involves designing autonomous agents using LangChain and LangGraph to optimize system resilience and monitoring within a financial services environment.
What you'll own Fig's product is built around an AI agent that security analysts and detection engineers work with directly. It investigates coverage questions against live enterprise security data, authors and…
An AI/ML internship focused on developing multi-agent systems, agentic coding tools, and ML models for trading infrastructure. Core work involves building agent orchestration, deploying ML models, and optimizing MLOps pipelines in a fintech environment.
Embedded AI engineer at Google Cloud who builds, deploys, and optimizes bespoke agentic AI solutions for high-value public sector clients, bridging Google’s AI products with customer infrastructure while driving product roadmap improvements.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to…
Own the AI-powered identity security platform: lead internal AI infrastructure (load balancing, compliance, model routing) and external AI features (e.g., Iris AI, MCP server) to deliver secure, scalable identity-led AI solutions.
The AWS AI Agent Engineer will design, build, and operate enterprise-grade AI agents and multi-agent workflows using Amazon Bedrock and AWS serverless technologies. The role focuses on implementing RAG, orchestration, and observability to ensure reliable, secure, and cost-effective production AI applications.
About Customs Support Group Customs Support Group (CSG) is the European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company,…
At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic…
Data Engineer Location: Remote (UK-based) There may be occasional travel to Manchester or London for events and/or meetings About eComplete eComplete is a specialist growth partner focused on beauty, wellness, and…
The Technical Lead will architect and evolve Zinier's enterprise web platform using React, TypeScript, and Redux while driving AI-native development practices. This hands-on role involves mentoring engineers, optimizing frontend performance, and integrating AI capabilities into complex field-service workflows.
TL;DR We're looking for an IT Engineer who treats every manual ticket as a bug. You'll automate the company's IT operations end-to-end with AI agents, so 250+ Lovables can move at terminal velocity. Why…
TL;DR — Construction software looks like it was designed in 2000. Because most of it was. As our Design Engineer , you define how alago looks, feels and behaves — and you ship it yourself, in React. Full-time, Munich.…
Build and modernize AI-powered workflow and data-exploration platforms in Java/Go/JavaScript, integrating BigQuery and MCP for AI agents and users.
The Software Engineer will join the foundation team to build mobile infrastructure, design systems, and agentic AI tooling for a large-scale educational platform. The role involves working with Flutter, Go, and agentic coding tools to improve developer experience and product performance for millions of students.
Salary: 52.000 - 69.000 € per year Requirements: Solide Grundlagen in TypeScript/Node.js und React Praktische Erfahrung mit LLM-APIs und agentischen Workflows: Tool Use, strukturierte Outputs, Multi-Step-Agenten, MCP…
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