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AI Engineer Sr
Senior AI engineer builds and scales enterprise AI systems, intelligent agents, and agentic workflows using Python, LangChain, and cloud-native tools to power Dayforce’s HCM platform.
Staff Software Engineer - Agentic AI Systems
Lead architecture and deployment of production-grade agentic AI systems that orchestrate multi-step reasoning, memory, and tool use for enterprise workflows.
Staff Software Engineer - AI Platform Team
Builds and shapes the internal AI platform that product teams use to ship agentic applications, including eval-driven gates, OpenTelemetry observability, and AuthX for AI workloads in Python and TypeScript.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Remote Senior Backend Developer
Build and scale Python-based backend services and LLM agent frameworks, integrating speech/NLP tech and ensuring reliability with observability tools.
AI Engineer
Lead AI Engineer builds and deploys generative AI and agentic systems for financial services, focusing on multi-modal LLMs, scalable MLOps pipelines, and enterprise integration.
AI Engineer
Build and deploy production LLM applications for a global online gaming group, focusing on customer support automation, safer gambling, compliance, personalization, and internal tooling.
Senior Data Scientist
Senior Data Scientist builds knowledge graphs from legal/regulatory docs using Python and graph databases, then evaluates retrieval quality for sovereign AI systems in finance and public sector.
LLM/Agent Engineer (과/차장급)
Build and lead a multi-agent LLM system using LangGraph to automate complex workflows for enterprise clients in marketing and e-commerce.
Backend Engineer (AI Agentic) 1904/1905
Build and maintain AI agentic backend systems using Python, LangChain/LangGraph, and vector databases to power autonomous workflows and RAG pipelines for business intelligence.
Lead DevOps Engineer
Lead DevOps Engineer builds and maintains scalable, secure cloud infrastructure for AI-powered systems, focusing on reliability, observability, and performance under production load.
Principal Data Engineer
Principal Data Engineer builds and leads the AI data stack for Anaplan’s LLM and agentic systems, designing retrieval layers, vector/graph databases, and real-time GenAI features for enterprise planning workflows.
AI Data Engineer - London
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Support Engineer – AI & Automation
What happens when an AI or automation solution is already in production—but something goes wrong? We're looking for a Support Engineer – AI & Automation to help keep ATI's AI, LLM, and RPA solutions running…
Site Reliability Engineer
Set the reliability strategy for Yuno’s AI-native payments platform on AWS, designing event-driven messaging, SLOs, and chaos engineering to keep global AI agents and payment flows running 24/7.
Automation QA Playwright Manager
Lead a team to implement Playwright-based automation frameworks and AI-driven quality practices for PwC’s software products, mentoring engineers and optimizing testing workflows.
AI Engineer
Design and build AI/ML solutions, including RAG systems and agentic workflows, using Python and cloud services while collaborating in an agile environment.
Senior/Staff Software Engineer: Agents
Build and lead AI-powered agent platforms, designing backend orchestration, LLM integrations, and evaluation systems for customer-facing applications using Node.js, TypeScript, and modern AI tooling.
Senior AI Product Engineer
Build and own Smeetz’s AI surfaces end-to-end: an MCP server and chatbot for European leisure venues, shipping features, reliability, and evals while driving discovery and measuring impact.