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Build and maintain backend services for a platform that enables cross-product integrations, feature entitlements, and usage metering using Java/Kotlin/Node.js/Python/Go.
Full Stack Developer to Asset Finance Solutions Helsinki, FI, 00500 Job ID: 5991 Help us build the future of digital asset finance across customer-facing services and supporting platforms. We are looking for an…
Nordea Bank Norge ASA in Helsinki invites applications for a Full Stack Developer to join the Asset Finance Solutions team. You will work across frontend and backend, creating scalable, secure digital services for…
Location: Helsinki, Finland (flexible remote) Team: Compliance Team Language: English Are you a passionate backend developer with a solution-oriented mindset and experience in Node.js/TypeScript? At Paf, you'll…
We are growing. And we are looking for talented people. At Decskill, we believe that technological excellence is driven by human talent. We are an IT consulting company with more than 10 years of consolidated…
ABOUT THE OPPORTUNITY We are looking for a Senior Fullstack Developer (French Speaker) to support the evolution, maintenance and modernization of business-critical applications and APIs in the banking sector, working…
TITLE: Implementation Manager REPORTING TO: Head of Customer Success - Healthcare LOCATION: Marina del Rey, CA - OR - Brooklyn (Onsite M-F) Who Is Flip? There are 3 runaway categories in B2B AI — coding, legal, and…
The Staff Software Engineer will design and evolve core backend systems for large-scale cloud services, focusing on high-volume data ingestion, processing, and storage. This hands-on leadership role involves building scalable, resilient distributed systems using languages like Go, Rust, Java, or Python.
your mission Work closely with product managers and fellow developers to build and continuously enhance our applications Collaborate enthusiastically within our remote team Provide and receive constructive feedback,…
Senior Full Stack Engineer / Developer (TypeScript React API Rust) London onsite to £120k Opportunity for a Senior / Founding Full Stack Developer to join a fast growing sports technology business as it establishes its…
Develops and maintains Salesforce implementations (Service Cloud, Experience Cloud, Omni-Channel) for VA call centers, focusing on Apex, LWC, integrations, and AI-driven automation like Agentforce. Works in Agile DevSecOps teams to modernize mission-critical systems for federal clients.
As a member of the ShipBob Team, you will... Grow with an Ownership Mindset : We champion continuous learning and innovation. You'll take on real problems, create tangible solutions, and drive results that move the…
Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from…
About us At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. With customers in 80+ countries, our clientele includes Fortune 500 companies such as Home Depot, local…
Principal AI Engineer designs and builds enterprise-grade AI systems on AWS, leading architecture, LLM integrations, and production deployment for clients across multiple industries.
Leads the design and delivery of AI-integrated full-stack platforms, defining front-end and back-end architecture while mentoring engineers and shipping production-ready systems using React, Node.js, Python, and AWS.
Design and deliver enterprise-grade generative and agentic AI systems on AWS, leveraging Amazon Bedrock, Strands Agents, and related services to build scalable, secure AI platforms.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale using Python, AWS, and generative AI tools.
Designs and leads enterprise-grade generative and agentic AI systems on AWS, using Amazon Bedrock, Strands Agents, and related services to deliver scalable, secure, and production-ready AI platforms.
Leads the design, delivery, and adoption of AI/ML systems directly within client environments, owning architecture decisions and driving solutions from research through production at scale.
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