Design and implement backend services for AI-driven systems that enhance accounting workflows. Collaborate with cross-functional teams to build robust services that support generative AI experiences.
Remote AI Engineer Jobs (2,201)
Search = AI Engineer
You will design and build data pipelines and work with clients to understand their problems and turn ideas into working solutions. The role involves applying ML and AI techniques to various projects while maintaining a consulting mindset.
You will design and build data pipelines and work with clients to understand their problems and develop solutions. The role involves applying ML and AI techniques to various projects while maintaining a consulting mindset.
The AI Engineer will design, build, and scale advanced AI applications in the PropTech space, focusing on generative AI capabilities. Responsibilities include evaluating LLMs, implementing RAG pipelines, and collaborating with cross-functional teams.
The role involves architecting and implementing the backend for the Traia.io AI Agent Marketplace and building multi-agent workflows. Additionally, the engineer will integrate various protocols and develop secure deployment principles.
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Build and evolve the core AI tutoring system, including prompt architectures and real-time adaptive behaviors. Collaborate cross-functionally to translate pedagogical goals into technical solutions.
The Lead AI Engineer will design and build the core architecture for an enterprise workflow automation platform and deploy solutions into customer organizations. They will also conduct discovery sessions to understand workflows and rapidly prototype custom solutions enhanced with AI.
The Lead AI Engineer will design and build the core architecture for an enterprise workflow automation platform and deploy solutions into customer organizations. They will conduct discovery sessions to understand workflows and rapidly implement AI-enhanced solutions.
You will design and implement end-to-end AI agent workflows using KPU technology and build robust evaluation datasets to measure AI performance. The role involves optimizing workflows for performance and reliability while pushing the boundaries of AI capabilities.
Senior AI Engineer (Backend - Python)
MAS Global Consulting
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Full Time
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24 Weeks Ago
MAS Global Consulting
The Senior AI Engineer will build a centralized reliability command center and create AI agents to support incident management. They will also develop features and APIs for engineers to enhance their workflows and collaborate with various teams.
The Senior AI Engineer will design and develop intelligent, scalable AI systems to improve patient experiences and optimize healthcare operations. They will collaborate with cross-functional teams to ensure AI solutions meet real-world needs and comply with healthcare standards.
Design and implement backend services for intelligent agent workflows and autonomous infrastructure actions. Collaborate with product and DevOps teams to ensure system reliability and performance.
The Forward Deployed Engineer will deploy production-ready AI agents and lead proof of concept development while providing hands-on technical implementation support. They will also act as a Technical Account Manager for assigned customers, ensuring ongoing success and value realization.
Conduct experiments to efficiently train large language models and explore methods of guided generation and search. Mine relevant data at web scale and conduct experiments with various reinforcement learning configurations.
Senior Site Reliability Engineer — AI Studio (Inference Platform)
Nebius
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Full Time
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25 Weeks Ago
Nebius
You will own the reliability, performance, and observability of the entire inference stack. This includes designing telemetry pipelines, tuning Kubernetes autoscalers, and creating automation for incident management.
Build and scale AI-powered backend services and design high-quality APIs for AI products. Collaborate with various teams to deliver new AI features end-to-end.
Develop cutting-edge GenAI solutions and own production rollouts of GenAI applications. Serve as a trusted technical advisor to customers and collaborate with product and engineering teams.
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Develop cutting-edge GenAI solutions and own production rollouts of GenAI applications. Serve as a trusted technical advisor to customers and collaborate with product and engineering teams.
The Senior AI Engineer is responsible for designing, developing, and deploying agentic AI solutions for clients. This includes building multi-agent systems, integrating models with enterprise systems, and ensuring the reliability and observability of these solutions.
In this role, you will dive deep into customers’ toughest problems and translate them into product. You will take full ownership of meaningful parts of the product and infrastructure from very early on.
Senior Software Engineer | AI + Python
MAS Global Consulting
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Full Time
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25 Weeks Ago
MAS Global Consulting
You will build a centralized reliability command center and create AI agents for incident triage and root-cause analysis. Additionally, you will develop features and APIs to assist engineers in exploring data and debugging issues.
Senior Software Engineer | AI + Python
MAS Global Consulting
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Full Time
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25 Weeks Ago
MAS Global Consulting
You will build a centralized reliability command center and create AI agents to support incident management. Additionally, you will develop features and APIs for engineers to enhance their workflows and decision-making.
The role involves designing and implementing production-grade agentic systems for web experiences and marketing workflows. Additionally, the engineer will shape the technical vision and lead architectural discussions, making foundational decisions that influence the company's technical architecture and culture.
Build bespoke AI solutions to accelerate business outcomes and prototype rapidly using APIs and cloud-native services. Collaborate cross-functionally to translate real problems into AI-enabled solutions.
Lead the end-to-end development of AI-powered features for Application Performance Monitoring. Collaborate with cross-functional teams to design and implement workflows that enhance application performance diagnostics and optimizations.
RAG + Agentic AI Engineer (India) (Remote) 19 APPLICANTS
Codvo.ai
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Full Time
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27 Weeks Ago
Codvo.ai
The role involves building production-grade retrieval systems and multi-agent workflows. You will also work on document pipelines and model orchestration to enhance Codvo’s AI applications.
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The Senior Generative AI Engineer will be responsible for building, optimizing, and deploying RAG pipelines and working with agentic frameworks. The role involves solving complex data challenges using creativity and cutting-edge technology.
The Senior AI Engineer will lead the design and deployment of integrated GIS-Power BI solutions, focusing on land analytics and operational KPIs in the oil & gas sector. Responsibilities include architecting ESRI-based GIS solutions and integrating GIS data with Power BI for geospatial analytics.
As a Senior AI Engineer Consultant, you will provide consulting and delivery services to clients, focusing on data management and transformation. You will also engage in R&D activities, sharing knowledge and mentoring team members.
Design and develop scalable backend infrastructure for Fireworks AI's generative AI platform. Collaborate with various teams to ensure the reliability and performance of the AI system.
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