You will partner with the AI engineering team to design and implement agentic workflows and LLM-powered features. Additionally, you will integrate AI systems with internal data sources and deploy these features into production environments.
Remote AI Engineer Jobs (2,816)
Search = AI Engineer
Provide onsite technical support for large-scale NVIDIA AI datacenter deployments and resolve complex hardware issues. Establish strong technical relationships with customer architects and provide training to sales teams and partners.
You will design, develop, and evolve Generative AI and AI Agent solutions, managing the lifecycle from experimentation to production. You will also lead technical initiatives and define architectures to transform complex business challenges into scalable, high-impact applications.
You will prototype, build, and productionize end-to-end AI features while collaborating with product and design teams. You will also design backend systems, data models, and evaluation harnesses to ensure high-quality, reliable AI-powered workflows.
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You will architect, build, and deploy high-performance AI/ML platforms while partnering with stakeholders to translate business goals into production-grade solutions. Additionally, you will lead model development, mentor junior engineers, and drive operational excellence through CI/CD and infrastructure automation.
You will define and own AI assets from problem framing through architecture, model development, and production launch. You will lead technical decisions across software, statistics, and machine learning while ensuring measurable business outcomes.
Support partners and customers across North America with the development, integration, and implementation of AI agents. Collaborate with internal teams to define practical AI solutions and provide guidance on Microsoft AI technologies.
The Forward Deployed AI Engineer will build and prototype full-stack AI/ML applications while partnering with strategic customers to drive AI use cases from prototype to production. They will also shape enterprise AI architecture and codify successful solution patterns into repeatable reference architectures.
Design and architect a Google-based agentic orchestration layer to modernize internal automation for a large workforce. Implement MCP connectors and integrate LLM capabilities to enable reliable, auditable agent-to-system interactions.
You will architect and deploy high-performance AI/ML platforms while setting technical standards and mentoring junior engineers. Additionally, you will partner with stakeholders to translate complex business challenges into production-grade AI solutions.
You will architect, build, and implement AI platforms while providing technical leadership across distributed teams. You will also develop novel LLM techniques and ML pipelines to support scalable GenAI products across the organization.
![CI&T is hiring for remote [Job-30817] Senior AI Engineer, Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
You will design and build intelligent AI agents and advanced architectures to deliver scalable, production-ready solutions. The role involves leveraging Generative AI across the entire product development lifecycle, from initial requirements to continuous monitoring and optimization.
You will build and ship LLM-powered features and agentic workflows within a complex financial platform. You will also own the data engineering layer to ensure high-quality data pipelines and retrieval architectures for AI systems.
You will build the next generation of AI-powered capabilities within a mature software platform by integrating LLMs and scalable product features. The role involves working across a Ruby on Rails backend and React frontend while leading the adoption of modern AI development practices.
Lead the full software development lifecycle for AI-integrated database features, from design and API implementation to deployment and monitoring. Collaborate with a small, autonomous team to build scalable, secure, and high-performance application services across multi-cloud environments.
You will design, build, and optimize agentic AI systems to automate complex procurement workflows. Your work will involve integrating and fine-tuning LLMs to drive intelligent decision-making across the platform.
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You will build a unified, permission-aware retrieval layer that powers enterprise AI agents by integrating diverse data sources like Salesforce, Jira, and SharePoint. Additionally, you will design hybrid retrieval pipelines and evaluation harnesses to ensure high-quality, low-latency agent responses.
Design and build production-grade agentic AI systems and end-to-end machine learning solutions. Collaborate with cross-functional teams to prototype, validate, and iterate on advanced AI capabilities.
Design, build, and maintain scalable data infrastructure to support AI-powered products and analytics across a global real estate portfolio. You will own data initiatives from raw ingestion through to production, ensuring data quality, governance, and accessibility for downstream AI systems.
Design and develop applications based on LLMs and GenAI while building RAG and GraphRAG systems to extract knowledge from large datasets. Implement advanced AI agents, scalable backend APIs, and data pipelines to support business needs in an Agile environment.
You will design and build production-grade agentic AI systems and architect complex workflows involving reasoning, tool use, and retrieval. Additionally, you will develop evaluation systems for LLMs and partner with cross-functional teams to translate AI capabilities into reliable platform features.
You will design and build foundational systems, tooling, and guardrails to enable both technical and non-technical teams to leverage AI safely and effectively. The role involves hands-on technical leadership to streamline the builder journey and improve developer experience across the organization.
Senior Cloud Security Engineer - AI Resilience & Security Enhancements (Contract)
Form3 (via Otta)
·
Freelance
·
4 Days Ago
Form3 (via Otta)
You will design and implement scalable cloud security controls to enhance the resilience and governance of a cloud-native payments platform. This involves collaborating with engineering teams to secure CI/CD pipelines, manage identity access, and ensure compliance with regulatory standards.
Senior and/or Principal Software Engineer - AI Frameworks Networking, Systems and Tools
Microsoft
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Full Time
·
4 Days Ago
Microsoft
You will be responsible for designing, implementing, and ensuring the quality of AI systems stacks and their integration with Azure. The role involves collaborating across disciplines to optimize model training and inference while driving the adoption of robust coding standards.
You will architect and implement AI agent solutions by mapping complex business workflows and integrating them with client tech stacks. Additionally, you will serve as the technical lead for customer activations, ensuring high-performance agent deployment and ongoing optimization.
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You will design and build a reusable on-device inference framework to enable edge machine learning across the company's hardware portfolio. Additionally, you will perform core firmware engineering tasks, including driver development and debugging, while integrating ML models into resource-constrained environments.
Lead the design and development of a production-grade AI inference platform to support large language models. Collaborate with cross-functional teams to optimize model serving, infrastructure cost, and system performance.
You will manage the full pre-sales field cycle, including discovery, POC scoping, and model selection for enterprise and AI-native customers. Additionally, you will deploy and fine-tune open-model LLMs directly within customer environments to ensure production-grade performance.
The AI Engineer will architect, build, and operationalize scalable generative AI and machine learning solutions across modern data platforms. They will lead the development of production-grade LLM pipelines and mentor cross-functional teams on engineering rigor and AI integration.
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