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The Senior Full-Stack AI Engineer will design and build enterprise-grade AI-enabled applications using Python, Django, FastAPI, React, and Next.js. The role involves integrating LLMs like OpenAI and LangChain with vector databases and managing CI/CD pipelines.
The Data Platform & AI Engineer will lead data engineering initiatives, focusing on building pipelines, automation, and cloud-based platforms using AWS. The role involves developing reusable solutions and integrating generative AI and modern data technologies.
Renaiss is seeking a Backend Java Developer to work on a critical backoffice system for the Argentine capital markets. The role focuses on system modernization using Java, Spring Boot, and PostgreSQL.
The Senior Full-Stack Engineer will help scale and modernize an AI-powered software platform using Java, Spring, TypeScript, React, Angular, and AWS. This is a hybrid role based in Dublin.
BJAK is hiring a full-stack engineer to develop and maintain their AI Finance Agent, working across frontend, backend, and internal tools. The role focuses on rapid product development and requires strong full-stack debugging skills.
BJAK is hiring a remote full-stack engineer in Ireland to build and iterate on their AI-powered neobank platform. The role involves end-to-end development across frontend, backend, and internal tools to deliver financial products.
Lead a team of engineers to build and deploy generative AI features, including conversational and agentic AI systems, for Anaplan's scenario planning platform.
You’ll demo and architect AI-driven planning solutions for Fortune 50 clients, translating complex GenAI and forecasting tech into business impact during the sales cycle.
Leads enterprise security for Anaplan’s SaaS platform, managing SaaS security posture, endpoint vulnerabilities, network/DNS/web security, and email protection while collaborating with IT teams to mitigate risks and enforce compliance (NIST/ISO 27001).
Build ML models and pipelines for enterprise scenario planning, integrating time-series forecasting and demand sensing into Anaplan’s AI-infused platform.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
The AI/ML Platform Architect will lead the design and implementation of an AI/ML platform for a Unified Security Posture Management system. This role involves driving innovation in machine learning and automation to support product and engineering teams.
Designs, develops, and supports enterprise data platforms and cloud-native architectures, building scalable data pipelines, data warehouses, and analytics-ready datasets while applying NLP and ML to extract value from diverse data sources for enterprise clients.
The AI-Native Backend Engineer will design and build scalable backend services, APIs, and data pipelines to support LLM and agent-based products. The role focuses on productizing frontier AI models by integrating tools like Prompt, Skills, and MCP.
This role involves designing and building backend infrastructure for AI platforms and agentic workflows, including API development, task orchestration, and LLM integration. The engineer will work with Golang or Python to scale services and productionize AI models.
The Data Engineer will build and maintain data pipelines to support manufacturing and AI/ML applications using Python and SQL. The role involves collaborating with cross-functional teams to deliver clean, scalable datasets for analytics.
The Project Coordinator manages enterprise software implementation projects by tracking scope, schedules, and budgets while coordinating between consultants and clients. The role involves using tools like Jira and Smartsheet in an AI-integrated environment with a path toward becoming a project manager.
The Senior Full Stack Developer will build and maintain a document intelligence platform using React, TypeScript, Node.js, and Python. The role involves developing extraction pipelines that utilize LLMs and OCR, as well as integrating with enterprise systems like Microsoft 365.
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