You will build and evolve core product capabilities, focusing on backend systems, RAG pipelines, and agentic workflows. You will also design and ship features from discovery to production while implementing evaluation approaches for LLM performance.
Remote AI Engineer Jobs (2,146)
Search = AI Engineer
You will build and evolve core product capabilities, focusing on backend AI systems like RAG pipelines and agentic workflows. Additionally, you will implement necessary frontend changes to ship features end-to-end from discovery to production.
Manufacturing Test Engineer, AI Compute Infrastructure - Stargate
OpenAI
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Full Time
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7 Weeks Ago
OpenAI
You will own the development of manufacturing test strategies, tools, and execution practices for critical AI infrastructure hardware. This involves collaborating with global partners to ensure hardware is testable, reliable, and production-ready at scale.
You will build and deploy AI-powered backend systems and workflows to solve real business problems. This involves designing scalable solutions, optimizing performance, and collaborating with internal teams to turn requirements into technical implementations.
Senior Backend Engineer - AI Product
Re:Build Manufacturing
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Full Time
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7 Weeks Ago
Re:Build Manufacturing
You will design and implement backend services, RESTful APIs, and ingestion pipelines to support an AI-powered platform for hardware development. Additionally, you will build and extend agentic AI workflows and orchestrate LLM integrations to turn unstructured data into structured engineering artifacts.
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Senior Frontend Engineer - AI Product
Re:Build Manufacturing
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Full Time
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7 Weeks Ago
Re:Build Manufacturing
You will build production-grade React applications and develop interfaces for managing structured engineering data and AI agent interactions. Additionally, you will contribute to frontend architecture, maintain a shared component library, and collaborate with backend engineers on API integrations.
The Lead AI Engineer will research, design, and implement AI/ML solutions, including Generative AI and RAG-based retrieval systems. They will also establish observability pipelines and lead agentic workflows within a cross-functional agile team.
Define and own the architecture of AI-powered systems, including Generative AI and agentic workflows, to ensure scalability and performance. Collaborate with cross-functional teams to align AI architecture with business objectives and lead technical decisions on model selection and system design.
The AI Architect will lead the design and evolution of enterprise-grade AI systems, focusing on agentic workflows and Generative AI integration. This role involves orchestrating complex AI models, ensuring system observability, and aligning technical AI strategies with business goals.
You will develop, integrate, and operate production-ready AI modules, focusing on LLMs, speech processing, and retrieval-augmented generation. You will also build and maintain scalable ML pipelines while ensuring high performance, stability, and cost-efficiency in a production environment.
Senior GTM Engineer - AI Marketing Systems (m/f/d) - Remote
Xentral
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Full Time
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7 Weeks Ago
Xentral
You will build and operate AI-powered end-to-end workflows and a central orchestration layer to scale marketing operations. You are responsible for integrating core platforms like HubSpot and ad networks while establishing structured feedback loops to improve system performance.
You will develop Python-based data pipelines to ingest and consolidate data from multiple sources for GenAI processing. Additionally, you will support the integration of this data into LLM workflows to generate structured outputs and summaries.
![Smart Working Solutions is hiring for remote Applied AI Engineer (Remote, Full-Time), PK [AS221]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Applied AI Engineer (Remote, Full-Time), PK [AS221]
Smart Working Solutions
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Full Time
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7 Weeks Ago
Smart Working Solutions
Design and implement end-to-end AI solutions for automated document understanding and technical report generation. Integrate these AI outputs into existing business workflows while collaborating with cross-functional teams.
AI Developer II (Senior AI Engineer) 26 APPLICANTS
VSI Technologies
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Full Time
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7 Weeks Ago
VSI Technologies
Design, build, and deploy production-grade AI systems, including LLM applications and intelligent automation solutions. Mentor junior developers while managing data pipelines and ensuring robust MLOps practices.
You will build and maintain backend services for AI and LLM-driven products while managing infrastructure and service integrations. You will own features end-to-end, ensuring high availability, performance, and reliability for production-grade healthcare and pharma software.
Software Engineer (AI Systems) Intern 163 APPLICANTS
Horizon Labs
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Full Time
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7 Weeks Ago
Horizon Labs
Build and maintain application logic, integrations, and infrastructure for AI-enabled systems. Collaborate with stakeholders to connect models with product workflows and improve system reliability.
The intern will prototype and implement AI-enabled workflows and features to solve practical business problems. They will also collaborate with cross-functional teams to experiment with model behavior and improve the reliability of AI outputs.
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You will own the inference and orchestration layer that powers AI interactions, ensuring high reliability and performance. This involves building production systems, designing inference pipelines, and managing monitoring and incident response.
Design and build end-to-end AI-native product features and agent workflows that handle planning, tool use, and failure recovery. Collaborate with cross-functional teams to integrate LLMs and memory systems into reliable, production-grade applications.
Principal AI Engineer – Automation & AI
eClinical Solutions
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Full Time
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7 Weeks Ago
eClinical Solutions
The Principal AI Engineer will design, build, and deploy production-grade agentic AI workflows and automation solutions across various enterprise functions. This role involves hands-on development, technical leadership, and direct collaboration with business stakeholders to drive high-velocity execution.
You will develop and maintain AI-native features for a pharmacy benefits platform while building safety rails to ensure the accuracy of LLM-driven outputs. The role involves collaborating on system design, managing cloud infrastructure, and troubleshooting production issues to ensure reliable performance.
You will build, test, and deploy scalable microservices for AI-powered systems while designing developer-friendly APIs and internal tools. You will also collaborate with cross-functional teams to optimize performance, reliability, and observability in production environments.
You will build, test, and deploy scalable microservices for AI-powered systems while designing developer-friendly APIs and internal tools. You will also collaborate with cross-functional teams to optimize performance, reliability, and observability in production environments.
You will design, build, and deploy agentic AI workflows that orchestrate multi-step reasoning and tool use for real-time business applications. Additionally, you will maintain evaluation frameworks to ensure system accuracy, latency, and behavioral consistency in production environments.
You will architect and develop agentic workflows that integrate large language models and reasoning components into conversational recruiting systems. Additionally, you will lead the end-to-end development of ML/NLP products while mentoring team members and defining best practices for scalable AI systems.
You will architect and develop agentic workflows that integrate large language models and reasoning components into conversational recruiting systems. Additionally, you will lead the end-to-end development of ML/NLP products, from ideation and model training to production deployment.
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You will architect and develop agentic AI workflows that integrate large language models and reasoning components to create adaptive conversational systems. Additionally, you will lead the end-to-end development of ML/NLP products and mentor engineering peers to ensure scalable and maintainable AI solutions.
Test Automation Engineer – AI Network & Observability Platform 16 APPLICANTS
Selector Software
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Full Time
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7 Weeks Ago
Selector Software
Design, develop, and maintain robust automated test frameworks for network and observability platforms. Collaborate with cross-functional teams to integrate tests into CI/CD pipelines and ensure platform reliability.
Applied AI Engineer – Systems & Reliability (remote/Berlin-based)
HiPeople
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Full Time
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7 Weeks Ago
HiPeople
You will own the evaluation systems and quality standards for AI workflows, ensuring reliability and performance across the platform. Additionally, you will build and maintain monitoring, CI/CD integration, and production-ready AI workflows to support enterprise-scale operations.
Senior Application Security Engineer, AI 11 APPLICANTS
ServiceTitan
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Full Time
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7 Weeks Ago
ServiceTitan
The engineer will design and implement automated security guardrails and AI-driven testing tools to secure the development pipeline. They will also partner with engineering teams to manage non-human identities and ensure secure-by-design practices across microservices.
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