Conversational AI Engineering
1,315 open positions
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具身Agent研发工程师-火山引擎 ByteDance北京 Design and implement large model Agent architectures for embodied intelligence, focusing on multimodal interaction systems and backend services for voice, visual, and text data.
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Senior Data Scientist
TrabaThe position is based onsite in New York City, five days per week, giving you th
$180k–$180k
Lead measurement and modeling for an agentic platform from 0→1, defining agent quality, reliability, and unit economics.
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AI Agent Engineer Graduate (Search) - 2027 Start TikTokSingapore Develop high-performance mobile search products and integrate AI Agents for engineering productivity and process automation.
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智能体应用技术算法工程师 TencentBeijing, China Design and develop core modules for an agent application platform, including orchestration, tool calling, memory management, multi-agent collaboration, and workflow engines for complex task planning and adaptive execution.
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AI Engineer - LLM / Agents (Delhi, In-Person) Careerflow.aiNew Delhi, India Design, develop, and deploy intelligent AI agents and LLM-powered systems to automate career optimization features like resume analysis, job matching, and AI interviews.
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?AI Engineer Remote • Seattle Design, build, and operate reliable, scalable LLM-powered systems integrated into real product workflows.
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?Brazil - Remote: Full Stack AI Developer Remote Building autonomous AI agents, high-performance APIs, and interactive visualization dashboards for real-time physics and engineering data.
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AI Engineer ErgodicInternational, Munich, Germany, London, United Kingdom Build foundational layers for AI model interactions with diverse data modalities, develop agentic systems, create custom models for specialized tasks, and implement solutions in reinforcement learning and active inference.
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Forward Deployed Engineer | Full-time - Remote Xperteez TechnologyRemote Partner with leading AI labs and enterprises to define research directions, curate high-quality data, implement ML pipelines, and build agentic systems for production.
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Agent Systems Engineer - Python AlixSan Francisco, CA Build, monitor, debug, and evolve AI agents to automate estate settlement workflows within an AI-native organization.
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AI-Automation Engineer Intern Vilambo Private LimitedIndia Design, build, and optimize intelligent automation solutions and custom AI-powered workflows using LLMs.
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?Applied AI Engineer Remote • New York City Design and deploy AI agents to automate permitting workflows, orchestrate multi-step ML systems, and build the backend infrastructure for PermitFlow's pre-construction platform.
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Software Engineer, Full-Stack MarloSan Francisco, CA Building the core systems and intelligence layer for an agentic operating system that executes live deals for talent agencies.
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?AI Product Engineer (w/m/d) Linz $50k–$50k Develop AI-based features for autonomous mobile robot fleet management and conversational analytics using LLMs, Agents, and RAG.
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AI engineer
DrytisRemote
$9k–$9k
Provide coding support and project guidance to clients while applying advanced prompt engineering and AI development techniques.
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AI Engineer (LLM / Agentic Workflows) — Quantum SaaS
Quantum ElementsRemote (
Design and implement LLM-driven agents that translate user intent into structured computational workflows for quantum computing simulation, optimization, and orchestration.
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Founding AI Engineer (Fully Remote | Up to $220k/year)
BluepinaRemote
$220k–$220k
Building end-to-end AI agents and tool-use pipelines to automate operations for boutique hotel hosts and enable natural-language trip discovery for travelers.
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Sr. GenAI Engineer
Steps AIRemote Work Policy
Design and evolve the agentic AI layer, including agent runtime, tool integrations, retrieval systems, and LLM observability for customer-facing AI agents.
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AI Engineer Intern
Orqum.AIRemote
Build production-grade code and features for an agentic AI Intelligence platform that integrates with engineering systems to detect risks and coach teams.
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About the job SK Group경기도 분당 Designing and developing LLM Agent-based application systems, building evaluation frameworks, and establishing standards for AI core technologies like sLLM fine-tuning and LLMOps.
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