Design and build real-time multimodal pipelines connecting ASR, LLMs, TTS, and avatar rendering into cohesive experiences. Collaborate with product and AI teams to enable Superhumans to drive presentations and share information.
Remote AI Engineer Jobs (2,817)
Search = AI Engineer
Senior Full Stack Engineer (Enterprise AI Project) (India) (Remote)
Codvo.ai
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Full Time
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37 Weeks Ago
Codvo.ai
The Senior Full Stack Engineer will be responsible for building scalable data platforms and solving complex data challenges. This role involves both frontend and backend development, focusing on enterprise AI projects.
Design, implement, and deploy AI solutions for US Government customers while developing prototype solutions that incorporate generative and predictive capabilities. Innovate creative solutions to address unique customer challenges and support pre-sales efforts.
ML Engineer – Generative AI & LLMs (Remote)
Ample Insight Inc.
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Full Time
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40 Weeks Ago
Ample Insight Inc.
You will design, prototype, and productize scalable machine learning solutions. You’ll work closely with clients and teammates in a collaborative environment.
AI 소프트웨어 엔지니어 (Founding AI Software Engineer) (Remote) 51 APPLICANTS
Bjak
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Full Time
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41 Weeks Ago
Bjak
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
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You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
You will collaborate with product, data, and engineering teams to define machine learning goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
As an AI Software Engineer, you will design, build, and deploy machine learning models that power personalization, automation, and insight generation. You will also manage the entire ML lifecycle and integrate ML outputs into user-facing products and backend systems.
You will work with product, data, and engineering teams to define machine learning goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
The role involves driving technical sales and solution design for enterprise customers by leading workshops, PoCs, and architecture sessions. You will partner with business and technical leaders to modernize applications and implement AI-infused solutions using Azure and GitHub platforms.
Presales Engineer - Date & AI Engineering
Computer Task Group, Inc
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Full Time
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20 hours ago
Computer Task Group, Inc
The Presales Solution Engineer acts as a technical bridge between sales and clients, designing complex data and AI solution architectures. Responsibilities include leading technical discovery, delivering product demonstrations, executing proof-of-concepts, and supporting the sales cycle through technical expertise.
Drive technical sales and adoption of Microsoft's AI and cloud platforms through hands-on engagements like PoCs, hackathons, and architecture workshops. Collaborate with enterprise developers to design secure, scalable solutions while resolving technical blockers to accelerate production deployments.
This role involves designing and developing AI-driven conversational agents and automation tools using modern Microsoft technologies. Additionally, it requires managing and optimizing Azure cloud infrastructure, including security, performance, and deployment lifecycles.
The engineer will bridge legacy insurance platforms with modern AI technologies by transforming COBOL systems into scalable AI-enabled solutions. They will also serve as a technical lead and mentor for AI strategy within the Life Underwriting department.
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Senior Software Engineer (Python / AI Insurance SaaS)
EvolutionIQ
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Full Time
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Yesterday
EvolutionIQ
You will design and build a complex multi-tenant enterprise SaaS application while maintaining the backend REST server that supports machine learning and BI data. You will also collaborate with product, data science, and UX teams to shape the product roadmap and drive technical best practices.
AI Data Platform Engineer
Bright Vision Technologies
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Full Time
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Yesterday
Bright Vision Technologies
The AI Data Platform Engineer will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption. They will also establish data standards, drive cost optimization, and partner with cross-functional teams to ensure scalable data infrastructure.
AI Learning Systems Engineer
Bright Vision Technologies
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Full Time
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Yesterday
Bright Vision Technologies
The AI Learning Systems Engineer will design, train, and deploy reinforcement learning systems for complex decision-making problems. The role involves managing the engineering complexity of training and evaluating policies at scale while ensuring production stability and safety.
Drive technical sales and solution design through demos, proof of concepts, and architecture workshops to accelerate customer adoption of Microsoft cloud platforms. Collaborate with engineering teams to resolve technical blockers and provide thought leadership within the database and analytics community.
Design, develop, and deploy production-ready Agentic AI and GenAI services while building scalable APIs and microservices. Collaborate with cross-functional teams to translate business requirements into robust AI solutions and maintain high-quality code standards.
Drive technical sales and solution design through demos, proof of concepts, and architecture workshops for cloud data platforms. Collaborate with engineering teams to resolve technical blockers and accelerate customer adoption of Microsoft Azure and Fabric services.
The AI Marketing Solutions Engineer will design and implement AI-powered workflows and agents to automate marketing tasks and enhance campaign performance. They will also train marketing teams on AI tools and establish governance standards to ensure responsible and effective AI usage.
Senior Software Engineer, Recommendations & AI Workflows (Backend)
Webflow
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Full Time
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3 Days Ago
Webflow
Design, build, and operate distributed backend systems for recommendations and AI workflows while hardening infrastructure on AWS and Kubernetes. You will also focus on improving system reliability, observability, and scalability while mentoring team members on backend practices.
You will partner with Account Executives to conduct process discovery workshops and design agentic AI solutions that optimize enterprise workflows. You are responsible for configuring these solutions using low-code tools to drive measurable business outcomes for manufacturing customers.
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AI Automations Product Engineer
NineTwoThree AI Studio
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Full Time
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3 Days Ago
NineTwoThree AI Studio
You will design and build end-to-end AI solutions by integrating models with customer data and infrastructure to solve complex business problems. You will also collaborate with internal teams to refine AI capabilities while guiding customers through deployment and adoption.
The engineer will design, build, and deploy production-grade generative AI applications and integrations to support internal productivity and business workflows. They will collaborate with data scientists and cross-functional teams to translate business requirements into scalable technical solutions.
You will build and maintain scalable data pipelines and AI-powered applications to automate business processes and improve decision-making. This role involves working across the full technology stack to integrate AI agents and data models into internal business tools.
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