Design and optimize AI-driven workflows and integrations using Workato to connect Salesforce, NetSuite, Snowflake, and Slack. Build agentic systems and RAG pipelines to reduce manual work and improve enterprise data accessibility.
Remote AI Engineer Jobs (2,146)
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Productionize and operate AI-based technology integrations into Cribl's core products to solve customer problems. Partner with product and design leaders to prototype and experiment with new AI features and agent-driven experiences.
Senior Solutions Engineer – Enterprise AI & Data Infrastructure
Hire Hangar
·
Full Time
·
6 Days Ago
Hire Hangar
Lead enterprise customers through technical discovery, solution architecture, and proof-of-value execution for AI and data infrastructure. Act as the technical bridge between customers and internal product teams to drive production adoption and measurable outcomes.
Lead the design and deployment of AI-enhanced software solutions while overseeing architecture and system design. Mentor distributed engineering teams and implement AI tools to accelerate delivery and improve software quality.
Build and scale AI-powered GTM workflows and agents to automate prospecting, lead enrichment, and CRM data quality. Connect various GTM systems to transition marketing operations from manual execution to scalable AI-assisted processes.
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The role involves embedding across various business teams to replace manual work with durable AI-powered tooling and automations. Additionally, the engineer will coach non-technical colleagues to build their own automations and develop reusable platform components.
Design and implement scalable AI capabilities and reusable components across the product portfolio using the Databricks platform. Establish integration patterns for conversational AI, RAG, and model orchestration while defining governance and evaluation frameworks.
Design and deploy end-to-end agentic workflows and autonomous AI systems to enhance Cority's EHS+ platform. The role involves building robust retrieval pipelines, optimizing inference, and mentoring junior developers while collaborating with Product Owners.
Design and deliver scalable backend and cloud systems to power AI-driven products using modern LLM APIs. Develop agentic AI workflows and maintain production-grade infrastructure on AWS using Terraform.
Design and deliver scalable backend and cloud systems to power AI-driven products using modern LLM APIs. Develop agentic AI workflows and maintain production-grade infrastructure on AWS using Terraform.
Design and scale machine learning solutions to enhance personalization and member experiences at Netflix. Collaborate with cross-functional teams to move algorithms from concept to production in large-scale real-time systems.
The role involves building custom data connectors and pipelines to feed high-quality, structured data into AI agents and RAG systems. You will also manage the AI Data Library and implement governance to ensure data quality and security.
Conduct research on Generative AI and AGI for healthcare treatment, payment, and operations use cases. Develop AI models, architectures, and systems while contributing to AI governance and collaborating with cross-functional teams.
Own the end-to-end integration architecture across the People Tech stack and lead the deployment of AI-powered agentic workflows. Partner with People leaders to automate recruiting, onboarding, and performance cycles to eliminate manual work.
Develop and maintain end-to-end AI agents and platforms to enable AI workflows across the company. This includes prototyping, deploying, and monitoring production AI services while building foundational agent abstractions and guardrails.
Build and ship agentic AI workflows on the Titan platform to solve specific banking use cases such as lending and compliance. Partner directly with clients to gather requirements, prototype solutions, and integrate feedback into the platform.
Lead the technical design and delivery of complex AI engagements for banking clients, building bespoke integrations and agentic systems. Act as the primary technical authority for client CTOs and CISOs while mentoring mid-level engineers and influencing the platform roadmap.
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Senior / Lead Full Stack Engineer (Next.js, AI, TypeScript)
Oowlish Technology
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Full Time
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1 Week Ago
Oowlish Technology
Design and build scalable full-stack AI-powered applications using Next.js and TypeScript. Own the end-to-end architecture and integrate LLM capabilities into production-ready product features.
As a Principal AI Solutions Engineer, you will architect and evolve AI systems, focusing on multi-agent orchestration and real-time inference. You will also mentor engineers and collaborate with product teams to translate business problems into machine learning solutions.
Design and build AI-powered internal tools and agents to automate workflows across various company departments. Architect integrations between LLMs, internal databases, and third-party platforms to improve operational efficiency.
Design and optimize AI-enabled embedded platforms using virtualization technologies like the Xen Project hypervisor for edge computing. Integrate AI workloads with embedded operating systems and hardware accelerators across automotive, robotics, and industrial applications.
Design and implement agentic workflows and AI-powered capabilities to transform P&C insurance operations. Build rapid prototypes and evaluation frameworks to measure the accuracy and reliability of LLM-driven features.
The role involves identifying and scaling AI-powered integrations across various business departments to drive productivity gains. Responsibilities include building automated workflows, managing the AI enablement roadmap, and ensuring responsible deployment in compliance with data policies.
Collaborate with clients to translate business needs into AI-driven use cases and scalable conversational experiences. Lead the end-to-end implementation of AI solutions within the Zoom platform, from discovery workshops to go-live optimization.
Build and ship production-quality data normalization, schema mapping, and enrichment pipelines for a new AI-native data warehouse. Collaborate with Staff engineers on technical architecture and implement AI-accelerated development practices.
Design and implement the core components of an AI-native data platform, including schema mapping, normalization, and distribution pipelines. Establish technical standards and build evaluation infrastructure to ensure the reliability of AI-generated financial data.
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Build and support critical customer-facing AI-driven systems to optimize business processes and save lives. Execute the full software development life cycle using Agile methodology to develop scalable software solutions.
Own the end-to-end architecture and delivery of a production Voice AI platform for patient interactions in healthcare. Design multi-agent conversational systems and optimize real-time audio pipelines to improve patient access to genetic testing results.
Develop and enhance product features for the Workouts team, focusing on physical activity experiences and content management systems. The role involves full-stack development and the integration of AI-assisted coding tools to ensure scalable and reliable application delivery.
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.
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