Architect and operationalize enterprise-scale agentic AI platforms on AWS using Bedrock and SageMaker. Design scalable RAG architectures, LLMOps frameworks, and AI guardrails to power intelligent automation and workflows.
Remote AI Engineer Jobs (2,147)
Search = AI Engineer
Lead the design and implementation of a cloud-native AI/ML engineering platform supporting both GenAI and traditional AI/ML applications. Drive the technical vision, architecture, and engineering best practices to ensure scalability, security, and reliability across multiple lines of business.
Design and implement AI-powered features such as LLM integrations and RAG applications within a SaaS logistics platform. Collaborate across departments to identify AI value drivers and optimize internal development workflows using AI tools.
Senior Generalist (Python, Data) Engineer - Healthcare AI Platform (US, Remote)
Provectus
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Full Time
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1 Week Ago
Provectus
Own and maintain a production AI platform in a regulated healthcare environment. Handle a combination of backend development, data engineering, and cloud infrastructure tasks to improve and extend the system.
Architect and develop reusable AI components and skills for a multimodal AI platform. This includes optimizing prompts, designing RAG integrations, and building scalable agentic pipelines.
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Architect and build the backend infrastructure for the Traia.io AI Agent runtime, focusing on multi-agent orchestration and autonomous workflows. Develop secure deployment architectures, scalable APIs, and integration systems for tool execution and memory.
Design, develop, and deploy AI-powered automation tools and APIs to improve operational efficiency across business units. Ensure all solutions follow a security-first mindset and comply with regulatory standards like CMMC and NIST.
Define the end-to-end architecture for scalable AI/ML and Generative AI solutions while serving as a strategic consultant for clients. Lead the integration of LLMs and RAG systems into enterprise applications and mentor technical teams on MLOps frameworks.
Lead the AI performance agenda by monitoring, testing, and improving AI efficiency across the entire platform portfolio. Collaborate with leadership to balance speed, accuracy, and cost while coaching engineers to raise the company's AI knowledge.
Design and build agentic AI solutions and multi-agent workflows to automate enterprise business processes. Develop the application layer of the 'Agent Factory', including backend microservices, RAG pipelines, and Human-in-the-Loop frontend dashboards.
The role involves architecting and securing AI infrastructure, including designing secure LLM pipelines and evaluating MCP server integrations. The engineer will lead AI threat modeling, red teaming, and establish security guardrails for AI-powered tools across the firm.
Lead the design and architecture of scalable backend systems and product features using Python and FastAPI. Mentor fellow engineers and collaborate with cross-functional teams to ship end-to-end features within an Agile lifecycle.
Design, implement, and maintain large-scale HPC/AI clusters including monitoring, logging, and workload orchestration. Develop automation tooling for deployment and provide technical insights for system design and performance tuning.
Design, implement, and optimize production machine learning solutions to build a world-class merchandising product. Lead the development of agentic AI solutions and mentor engineers on architecture patterns and cloud-native development.
Define and evolve the target architecture for enterprise-scale Data and AI platforms, covering the full lifecycle from experimentation to production. Lead capacity planning and cost optimization for GPU/CPU workloads while integrating platforms with enterprise data ecosystems.
Identify and analyze business-critical risks within product and infrastructure to define remediation strategies. Develop scalable systems for secure engineering patterns and mentor other engineers within the organization.
Design and build scalable, secure full-stack systems using Next.js and Supabase while integrating AI-assisted development tools into the workflow. You will own features end-to-end, focusing on database-centric logic and embedding security best practices into every layer of the platform.
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Design and optimize AI-powered enterprise solutions, including agentic workflows and RAG pipelines, to improve operational efficiency. Collaborate across departments to implement scalable AI tools while ensuring compliance, accuracy, and alignment with institutional policies.
Design and operate agentic AI pipelines and RAG architectures to deliver personalized health insights from genetic datasets. Build robust evaluation frameworks and CI/CD pipelines to ensure the reliability and quality of AI-generated health products.
The role involves designing, developing, and maintaining scalable software solutions and product features in a cloud-based environment. Responsibilities include collaborating on technical architecture and contributing to CI/CD pipelines and operational reliability.
Design, analyze, and deploy advanced liquid cooling solutions for high-density AI and HPC data centers. Perform thermal modeling and CFD simulations to optimize performance for CPU and GPU workloads.
Develop production-level full-stack AI applications and prototypes using TypeScript and React to solve retail use cases. Design agentic workflows and implement systems to monitor and evaluate LLM performance for enterprise clients.
Build and maintain automated AI workflows and RAG systems using LLMs and multimodal tools. Collaborate with teams to integrate AI into business processes and evolve existing AI codebases.
Lead the design and delivery of scalable data products and AI automation solutions to transition the company into an AI-first organization. Build and maintain the data infrastructure and pipelines that power agentic operations and eliminate routine manual work.
Principal Software Development Engineer (PBM AI Solutions)
CVS Health
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Full Time
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1 Week Ago
CVS Health
Lead the architecture, design, and delivery of next-generation AI-enabled digital applications and financial solutions across major cloud platforms. Define the technical vision and IT strategy while mentoring high-performing engineering teams to solve business-critical healthcare problems.
Design, build, and deploy AI agents and automation pipelines to enhance efficiency across various business domains. Own the end-to-end performance of these systems, including monitoring KPIs, managing evaluations, and iterating on workflows.
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The AI Software Engineer will write production-level code and build full-stack prototypes to demonstrate capabilities to stakeholders. They will also engage in prompt engineering and testing with LLMs, analyze large data sets, and contribute to the design and implementation of scalable solutions.
Build AI-driven workflows to accelerate revenue generation and reduce friction across sales and marketing operations. Integrate AI capabilities into Salesforce and marketing platforms to automate proposal generation, lead qualification, and campaign execution.
Build and maintain AI-driven sourcing and screening agents to automate candidate research and funnel data collection. Develop prompt libraries and analytics infrastructure to optimize the recruiting pipeline and reduce time-to-first-candidate.
Senior Software Engineer (Python, AI)
Exadel Inc (Website)
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Full Time
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1 Week Ago
Exadel Inc (Website)
Design, develop, and maintain scalable Python applications and AI-driven tools using FastAPI and Pydantic. Provide technical leadership, mentor team members, and collaborate with clients to implement multi-modal GenAI models.
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