Research and implement state-of-the-art techniques to accelerate AI inference and optimize model quality on custom silicon. Build fine-tuning pipelines and benchmarking frameworks to characterize tradeoffs between latency, throughput, and power consumption.
Remote AI Engineer Jobs (2,818)
Search = AI Engineer
AI Engineer - Classifiers, Media Intelligence & Voice R&D
WOW Remote Teams
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Full Time
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6 Weeks Ago
WOW Remote Teams
Design and deploy classification models for media pipelines and lead R&D in AI voice and image intelligence. Develop automated tagging systems and optimize inference pipelines for production APIs.
AI Architect / Senior AI Engineer (Microsoft Ecosystem)
iTalenters
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Full Time
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6 Weeks Ago
iTalenters
Design and build end-to-end generative AI architectures and custom LLMs within the Microsoft ecosystem. Lead the internalization of AI solutions to eliminate dependency on external consultants while collaborating with international multidisciplinary teams.
Architect and deliver advanced AI solutions using generative and agentic AI while driving the adoption of AIOps and cloud-native architectures. Provide technical leadership and mentorship to a small team, managing performance and career development.
Lead the delivery of advanced AI solutions using generative and agentic AI while driving the adoption of AIOps and cloud-native architectures. Manage and coach a technical team while engaging with senior stakeholders to define strategic architectural principles.
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Serve as a technical leader responsible for architecting scalable systems and driving the adoption of AI throughout the software development lifecycle. Collaborate cross-functionally to translate business requirements into technical solutions while mentoring engineers and raising operational excellence.
Architect and develop the 'Maestro' central AI orchestrator and its distributed execution systems to automate complex enterprise operations. Lead the integration of AI agents into core product infrastructure, focusing on LLMOps, observability, and performance optimization.
Design and evolve the core capabilities of an internal AI agent platform to support scalable business workflows. Collaborate with cross-functional teams to move AI agents from conceptual ideas to production-ready solutions.
Design, implement, and deploy end-to-end AI/ML systems and agentic workflows into production environments. Build supporting data pipelines, retrieval layers, and observability frameworks to ensure system reliability and cost-effectiveness.
Principal AI Engineer, Distributed Systems & Intelligent Platforms
Calliere
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Full Time
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6 Weeks Ago
Calliere
Build and own backend services and serverless compute layers for an AI-native learning platform. Drive the development of distributed workflows, event-driven architectures, and production reliability at scale.
Design and ship production-grade multi-step AI agents to automate complex go-to-market workflows. Integrate these agents with business systems like Salesforce and Snowflake while ensuring reliability, security, and observability.
Design and ship production-grade multi-step AI agents to automate complex go-to-market workflows. Integrate these agents with business systems like Salesforce and Snowflake while ensuring reliability, security, and observability.
AI Engineer (LLM / GenAI)
Prescience Decision Solutions
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Full Time
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6 Weeks Ago
Prescience Decision Solutions
Design and deploy scalable GenAI architectures and REST APIs using cloud environments and containerization. Develop AI agents and multi-agent systems while managing end-to-end MLOps pipelines for business use cases.
Exciting Opportunity | Principal Full Stack AI Engineer | Remote
N Human Resources & Management Systems
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Full Time
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6 Weeks Ago
N Human Resources & Management Systems
Lead the design and delivery of a Generative AI platform, focusing on scalable AI systems and agentic frameworks. The role involves integrating LLMs into production and establishing engineering standards for the team.
Senior AI Engineer
Exavalu Solutions India Pvt Ltd
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Full Time
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6 Weeks Ago
Exavalu Solutions India Pvt Ltd
Design, build, and deploy production-ready AI applications including RAG-powered solutions and document intelligence on major cloud platforms. Collaborate with cross-functional teams to automate insurance workflows such as claims and underwriting.
Lead end-to-end ML project implementations for clients, translating business problems into production-grade technical solutions. Design and maintain scalable ML pipelines and Generative AI applications using MLOps best practices.
Lead the design and deployment of autonomous AI agents and multi-agent systems to drive intelligent decision-making and workflow automation. Architect agentic workflows and integrate them with enterprise systems, APIs, and databases while ensuring reliability through monitoring and guardrails.
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Senior React / Python / AWS Engineer – AI & Generative AI Solutions
Workiy
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Full Time
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6 Weeks Ago
Workiy
Design, develop, and deploy scalable cloud-native applications and intelligent AI solutions. Integrate Generative AI capabilities and build end-to-end applications using AWS services and microservices architecture.
Build and maintain a central monitoring and alerting layer for AI applications and pipelines to ensure system stability. Manage incidents through triage and root cause analysis while optimizing CI/CD processes and telemetry standards.
Lead the end-to-end delivery and architecture of enterprise AI/ML solutions, specifically focusing on LLM applications and RAG. Provide technical guidance and mentoring to engineering teams while remaining hands-on with prototyping and troubleshooting.
Architect and ship core product features and design proactive AI agent orchestration layers for high-growth brands. Collaborate with the CEO and stakeholders to prototype new interaction patterns and maintain high engineering quality standards.
Develop full-stack AI capabilities, including agentic systems and RAG pipelines, to improve mental healthcare workflows. Implement evaluation frameworks, safety guardrails, and observability tools to ensure reliable production rollouts.
Lead the design, development, and deployment of sophisticated AI solutions and LLM applications to drive business outcomes. Collaborate cross-functionally to integrate AI functionalities into broader applications and monitor model performance for iterative improvement.
Design and implement task-focused AI agents and document understanding systems for cloud audit solutions. Lead the delivery of production-grade AI services while collaborating across portfolios to enable AI innovation.
Lead the design and development of agentic AI systems across engineering productivity, internal company intelligence, and customer-facing features. Establish technical standards for AI deployment on GCP and mentor the engineering team in agentic systems expertise.
Develop production-ready coding agents and agentic workflows by integrating internal and open-weight models into JetBrains products. Design the agent loop, create evaluation suites, and establish feedback loops to improve model behavior based on real-world usage.
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Develop and maintain the Champion AI agent platform while enabling partner business units to build and deploy their own agents. This includes designing system prompts, managing agent infrastructure, and implementing production-ready agent use cases.
Design and deploy AI-native software and multi-agent workflows to transform large-scale geospatial data into actionable intelligence. Integrate state-of-the-art LLMs and develop robust data ingestion layers for predictive analytics and anomaly detection.
Design and implement production-grade enterprise AI systems and agents to automate cross-functional workflows across the business. Focus on reducing operational toil while ensuring strict adherence to security, privacy, and AI governance standards.
Design and implement production-grade agentic AI workflows to automate medical imaging clinical trials and data quality. Provide technical leadership and mentorship to engineers while collaborating with cross-functional teams to align AI capabilities with business objectives.
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