Lead the adoption of AI across the engineering function by designing agentic workflows and RAG systems to automate software development tasks. Partner with leadership and stakeholders to translate business problems into scalable, customer-centric AI solutions and mentor engineers in AI-driven development.
Remote AI Engineer Jobs (2,147)
Search = AI Engineer
Deliver and operationalize low-code AI solutions using Microsoft Power Platform and Copilot Studio within a federal government cloud environment. This includes implementing CI/CD processes, managing data ingestion pipelines, and monitoring production performance.
Forward Deployed AI Engineer – Claude 2026 - US
Aimpoint Digital
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Full Time
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1 Week Ago
Aimpoint Digital
Design, build, and deploy production-scale AI solutions and agentic workflows using Claude for enterprise clients. Translate complex business problems into technical architectures and operationalize AI systems with a focus on governance and reliability.
Design and implement AI-native systems and agentic workflows to solve product and operational problems in healthcare. Collaborate with cross-functional teams to integrate LLMs into production while ensuring reliability, security, and scalability.
Lead the design and deployment of internal AI-powered solutions to improve organizational flow across Sales, Marketing, and Customer Support. Diagnose business constraints and build end-to-end AI initiatives from discovery to production-grade implementation.
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Embed within product teams to co-develop and refine AI-driven engineering workflows and agentic ways of working. Collaborate with internal innovation teams to bridge tooling gaps and ensure AI is integrated into real development tasks.
Design and build production-grade agentic AI systems to coordinate care and automate operations within a healthcare infrastructure. Translate complex real-world care processes into reliable AI behaviors while establishing standards for safety and operational reliability.
Lead the design and evolution of agentic AI systems to coordinate care and automate workflows within a healthcare infrastructure. You will define architectural patterns for agent reasoning and memory while mentoring engineers to improve system reliability and safety.
AI Engineer — Conversational AI, Voice, LLM, Retell
OneSeven Tech
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Full Time
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1 Week Ago
OneSeven Tech
Configure and tune AI voice agents on the Retell platform, focusing on conversation flows, prompt engineering, and compliance behavior. Manage telephony integration and implement call analytics for scoring, sentiment analysis, and accuracy monitoring.
Design, develop, and maintain production-ready AI features, focusing on RAG systems and agentic workflows. Establish infrastructure for model evaluation, monitoring, and continuous improvement in collaboration with product and engineering teams.
Lead the development, configuration, and deployment of conversational AI systems for enterprise clients to ensure production readiness. Serve as the primary technical liaison to design scalable solutions and manage the reliability and performance of deployed systems.
Design, build, and operate the company's AI enablement platform and gateway within the IT and Security function. Lead the technical vision and implement standards for AI providers, models, and governance to ensure safe and scalable AI adoption.
Design and implement scalable AI-powered solutions and components to support client transformation initiatives. Serve as a technical lead for AI workstreams, collaborating with architects to deliver production-grade ML and cloud systems.
Architect and scale a robust AI platform and reasoning layer to support a complex tax-focused AI agent. Build a multi-layered evaluation platform and integrate AI features into the core fintech backend using TypeScript.
Lead the implementation of complex software systems and influence architecture and modernization initiatives. Provide technical leadership through mentoring engineers and collaborating with Product, QA, and DevOps teams.
AI Engineer – Contract (Remote)
Brain Box Automations
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Full Time
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1 Week Ago
Brain Box Automations
Lead the end-to-end lifecycle of AI development from architecture design to production deployment. Ensure the reliability and scalability of AI systems while aligning technical solutions with business goals.
Develop and maintain backend services and AI-native platforms using Python, Node.js, and AWS serverless architectures. Collaborate with cross-functional teams to build scalable, integration-heavy systems and agentic learning platforms.
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Design and execute fine-tuning strategies for structured generation and editing workflows for creative content. Build automated pipelines for data collection, evaluation, and model optimization to improve reliability and output quality.
Design and build core components of an AI agent platform, including orchestration layers and tool integrations. Architect knowledge and memory infrastructure while implementing trust, safety, and evaluation frameworks for AI-driven operations.
Design and build core components of an AI agent platform, including orchestration layers and tool integrations. Architect knowledge and memory infrastructure while implementing trust, safety, and evaluation frameworks for AI-driven operations.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present at industry conferences.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present at industry conferences.
Develop and productionize cutting-edge GenAI solutions to solve customer problems while serving as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present findings at industry conferences.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present at industry conferences.
Design and build core components of an AI agent platform, including orchestration layers and tool integrations. Architect knowledge infrastructure and implement trust and safety frameworks for AI-driven operations.
Own the full lifecycle of AI projects from scoping to production-ready code, focusing on LLM pipelines and agentic systems. Collaborate with the engineering team through daily standups and code reviews to drive state-of-the-art AI practices.
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Architect and build the Companion agentic AI system, including the orchestration layer, recommendation engine, and frontend experiences. You will also develop the underlying AI platform to enable other product teams to create their own AI-powered features.
Design and deploy end-to-end agentic AI systems and predictive ML pipelines for enterprise customers in the APAC region. Collaborate with stakeholders to translate complex business problems into production-ready AI solutions and scalable backend services.
Collaborate with cross-functional teams to design and implement scalable data products within a Data Mesh architecture. Develop data models, quality monitoring frameworks, and high-performance APIs to ensure reliable data flow and accessibility.
Design and build backend services for Generative AI and agent-based applications using Python and FastAPI on Azure. Develop secure, scalable AI systems including evaluation pipelines, monitoring, and orchestration workflows for enterprise use cases.
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