Design and deploy complex end-to-end distributed web applications and AI-powered pipelines for investigative data analysis. Architect high-performance full-stack applications and integrate LLM-driven frontends with scalable backend architectures.
Remote AI Engineer Jobs (2,819)
Search = AI Engineer
Build and evolve AI-powered tools and agentic systems to enhance the software development lifecycle for engineers, product managers, and designers. Collaborate cross-functionally to implement secure inference pathways and monitor AI performance and cost within a healthcare context.
Experienced Data Science AI Engineer
Gainwell Technologies LLC
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Full Time
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8 Weeks Ago
Gainwell Technologies LLC
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes end-to-end model deployment, data engineering with large healthcare datasets, and ensuring compliance with HIPAA standards.
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes building ML models, integrating them into existing technology stacks, and ensuring compliance with healthcare regulatory standards.
Build and maintain the shared product-integrity layer for customer-facing AI systems, focusing on evaluation, observability, and safety infrastructure. Define reusable standards for AI quality and operational readiness across various AI products.
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Build and scale AI-powered systems and LLM-driven features for deep document analysis and interactive chat. Collaborate with engineering and product teams to evaluate model performance and implement robust CI/CD practices.
Lead the engineering delivery of agentic AI solutions and LLM-powered workflows across GTM technology stacks including Salesforce and Slack. Design scalable enterprise AI architecture patterns and mentor senior and mid-level engineers to ensure production-grade AI systems.
Design and build LLM-powered autonomous hacking agents capable of performing full-scale offensive security attacks with minimal human intervention. Develop agent architectures, integrate offensive security toolchains, and build evaluation harnesses to measure AI performance.
Architect end-to-end systems and write precise specifications to direct AI agents in generating production-grade code. Validate AI outputs for security and architectural alignment while evolving AI-first development methodologies.
Design and develop a next-generation Agentic AI Platform to support autonomous workflows and complex financial operations. Build scalable backend services using Java and gRPC while mentoring junior engineers and driving technical alignment.
Design and build scalable backend systems and orchestration frameworks to power real-time AI agents in enterprise environments. You will develop inference pipelines, manage agent memory, and implement evaluation frameworks to ensure reliability and performance.
Build and manage infrastructure, tooling, and documentation to optimize the effectiveness of AI coding agents across the engineering organization. This includes owning agentic development environments and creating MCP server integrations for internal systems.
The role involves embedding with clients to translate complex fraud and compliance challenges into technical AI architectures. You will architect, train, and deploy custom AI agents and intelligent workflows into production environments.
Design and implement complex multi-agent orchestration logic and tool layers for a high-load financial analysis system. Optimize system performance through asynchronous processing, semantic caching, and automated evaluation pipelines using LangSmith.
Design and implement cloud-based SaaS services and AI capabilities for a Go-based medical device web application. Collaborate cross-functionally to deliver secure, scalable, and compliant healthcare software and internal tooling.
Architect and develop enterprise-scale multi-agent systems and RAG pipelines using Google Cloud's AI stack. Own the full AI development lifecycle from data collection to deployment and monitoring for healthcare enterprise solutions.
Build and deliver end-to-end AI and agent-first products, owning the full software stack from architecture to release. Collaborate with designers and product managers to define product concepts and prototype MVP iterations that align with organizational goals.
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Lead the architecture and delivery of enterprise-grade LLM and agentic AI systems to transform claims and operational workflows. Design secure tool integration layers and implement deterministic guardrails to ensure AI reliability and compliance.
Build a secure, unified internal AI platform and agentic harness that connects frontier AI tools to core infrastructure. Define security patterns for agent autonomy and develop orchestration layers for LLM tool-use.
Senior Director, Data and AI Engineer
Otsuka Pharmaceutical Co., Ltd.
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Full Time
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8 Weeks Ago
Otsuka Pharmaceutical Co., Ltd.
The Senior Director will define and execute the data and AI engineering strategy across the R&D value chain, managing a high-performing team to deliver scalable data and AI solutions. This role involves overseeing the implementation of AI use cases and ensuring adherence to governance standards.
Architect and build production-ready multi-agent AI systems that transform longitudinal health data into actionable medical insights. You will own the end-to-end pipeline including orchestration, retrieval, evaluation, and observability to ensure safety and reliability.
Build AI-native product features and automated agent systems to help financial advisors and business owners analyze performance. Develop backend services, data pipelines, and evaluation loops to ensure the reliability and accuracy of LLM-powered systems.
Full-Stack Software Engineer | AI Accelerated | (m/w/d)
Merlin Digital Solutions GmbH
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Full Time
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8 Weeks Ago
Merlin Digital Solutions GmbH
Design, build, and operate AI systems including conversational AI and RAG for the public sector. Develop scalable multi-tenant SaaS backend architectures and own features from ideation to production.
AI Engineer - Governance Intelligence, Third Party (India)
Credo.AI
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Full Time
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8 Weeks Ago
Credo.AI
Build automated intelligence pipelines to collect and parse AI vendor documentation and benchmarks into a structured knowledge graph. Design synthesis systems that map technical capabilities to risk taxonomies to power an AI Governance Intelligence Engine.
Drive enterprise AI strategy, innovation, and the design of scalable AI-driven solutions to solve complex business challenges. Establish AI governance frameworks and ensure the adoption of responsible and explainable AI practices.
Design and operationalize AI-powered workflows and integrations across support platforms like Zendesk and Decagon to improve customer and specialist experiences. You will build quality checks and monitoring guardrails to ensure AI workflows are reliable and measurable in production.
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Build and deploy production-ready agentic AI systems to automate internal workflows for CX, Finance, and Logistics teams. Identify operational friction and develop reusable AI modules and tools to improve organizational efficiency and developer productivity.
Design and build AI agent pipelines and RAG systems using graph-based workflows and vector search architectures. Develop end-to-end product features including scalable FastAPI backends and polished React/Next.js frontends.
Design and implement production-grade agentic AI systems and RAG pipelines to automate financial workflows and enhance customer experiences. Collaborate with product and design teams to build scalable, secure, and auditable AI infrastructure within a regulated environment.
Design and operate AI agents and intelligent automation workflows to streamline enterprise business processes. Lead the integration of LLM-powered capabilities with enterprise systems while ensuring security, reliability, and performance optimization.
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