Lead product security engineering for the payment platform and build the AI security program for generative AI and ML capabilities. Provide technical oversight for security architecture across enterprise and infrastructure domains.
Remote AI Engineer Jobs (2,147)
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Principal Security Engineer, Product & AI
MQ Referrals Only
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Full Time
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2 Weeks Ago
MQ Referrals Only
Lead product security engineering for the payment platform and build the organization's AI security program for generative AI and ML capabilities. Provide technical oversight for security architecture across enterprise and infrastructure domains while mentoring other security engineers.
Senior Databricks Platform Engineer, Data + AI (18-month Term)
Kinaxis Inc.
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Part Time
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2 Weeks Ago
Kinaxis Inc.
Engineer the Databricks platform across Azure and GCP, focusing on Unity Catalog, Delta Sharing, and CI/CD pipelines. Collaborate with ML R&D teams to evolve data governance and build AI-driven data products.
Design and build production-grade AI systems, including agents and RAG pipelines, to enhance FICO's analytics and decision management platform. Develop robust evaluation frameworks and optimize inference performance, cost, and reliability for LLM-powered workflows.
Design, implement, and optimize AI/ML models to solve complex medical imaging problems and drive operational efficiency. Collaborate with cross-functional teams to integrate these capabilities into production-level cloud architectures while providing technical mentorship to junior engineers.
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Design and develop edge machine learning systems and scalable infrastructure to improve the autonomy and safety of construction robots. Optimize computer vision and sensor fusion models while integrating cloud-based AI tools into the autonomy stack.
Lead technical sales and solution design for modern data platforms and AI-driven solutions on Azure for strategic enterprise customers. Act as a trusted advisor to guide customers through data estate design, governance, and the implementation of scalable AI workloads.
Software Engineer in Test – AI Voice & Clinical Systems
Tight Line
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Full Time
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3 Weeks Ago
Tight Line
Lead the quality strategy for AI-powered voice and clinical tools, focusing on validating non-deterministic AI systems and speech recognition. Design and maintain scalable automation frameworks and integrate them into CI/CD pipelines to ensure product reliability.
Research & Development Software Engineer- Geometry & AI
Foundation EGI
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Full Time
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3 Weeks Ago
Foundation EGI
Design and develop geometry processing and simulation algorithms for engineering applications. Build services for processing 2D/3D engineering data and implement post-training workflows for machine learning models.
Optimize every layer of the AI system, including model behavior, retrieval, and ranking, to ensure clinical accuracy. Analyze system failures and patterns to refine outputs across various medical specialties and clinical contexts.
Design and maintain scalable data pipelines and platforms to support AI, reporting, and business intelligence. Collaborate with architects and stakeholders to ensure high-quality data availability across the organization.
Own and operate GPU and accelerator clusters to power model training, inference, and experimentation. Design and optimize scalable, cost-efficient compute infrastructure and inference pipelines to reduce dependency on external providers.
Design and deliver production-grade full-stack features using Java and React on a greenfield codebase. Integrate AI agents and LLM-based tooling into the engineering lifecycle to automate workflows and support architectural decisions.
Develop and maintain scalable backend services and high-quality features using Java and AI-assisted development tools. Collaborate with cross-functional teams to implement business requirements and ensure platform stability through debugging and CI/CD support.
Ensure the stability and availability of production applications and blockchain infrastructure through incident management and disaster recovery. Develop AI-driven tools and agents to automate support tasks and conduct technical research on new blockchains and DApps.
Design, build, and deploy end-to-end AI/ML solutions and robust backend systems for industrial use cases. Collaborate with clients to transform legacy workflows into scalable, intelligent systems using modern AI tooling and data pipelines.
Senior AI Controls Solutions Engineer (Electrical Systems)
Phaidra
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Full Time
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4 Weeks Ago
Phaidra
Operationalize and scale AI control solutions for enterprise data center customers by creating facility models and mapping tag data. Collaborate with Data Science and Product teams to define requirements and ensure scalable automated tools.
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Senior DevOps Engineer for Industrial AI Cloud + Sign on Bonus 3000 eur
Deutsche Telekom IT Solutions Slovakia
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Full Time
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4 Weeks Ago
Deutsche Telekom IT Solutions Slovakia
Design and implement the AI Factory Cloud platform, focusing on automation, optimization, and the lifecycle of CI/CD pipelines. Provide technical leadership and mentorship to co-workers while coordinating activities across related technologies.
Senior Software Engineer II - Applied AI (Remote Eligible)
Smartsheet
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Full Time
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4 Weeks Ago
Smartsheet
Lead the design and ownership of the core AI platform infrastructure to enable scalable and reliable AI feature deployment. Establish rigorous trust and safety systems, including evaluation pipelines, to ensure high-quality and secure AI-driven experiences.
The Forward Deployed Engineer will partner with business stakeholders to rapidly build and deploy automation and AI-driven solutions. This role involves full-stack engineering, including data pipelining, backend development, and the creation of dashboards to solve complex business problems.
The Applied AI Staff Engineer will integrate and fine-tune cutting-edge AI models into existing platforms to enhance product capabilities. They will also design evaluation frameworks and collaborate with the data science team to monitor AI performance in production.
The AI Software Engineer will troubleshoot and scale the enterprise AI platform by diagnosing issues across LLMs, agent workflows, and backend systems. They will also drive platform adoption by training internal users and collaborating with engineering teams to implement systemic improvements.
You will design and build AI-powered workflows and automations using Workato to improve operational efficiency across various business departments. You will also partner with IT and security teams to ensure these solutions are secure, scalable, and effectively integrated with enterprise data.
Software Engineer in Test – AI Services (Healthcare domain)
Opinov8
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Full Time
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4 Weeks Ago
Opinov8
The Software Engineer in Test will design and implement validation frameworks for AI models and APIs to ensure reliability, accuracy, and regulatory compliance. They will also contribute to observability by monitoring production performance and feeding findings back into regression test suites.
You will be responsible for strengthening the team by managing AI infrastructure and ML production environments. This includes optimizing AI inference, handling GPU workloads, and maintaining scalable real-time AI systems.
You will design, train, and deploy scalable machine learning models to drive automation, fraud detection, and customer experience improvements. Additionally, you will build modular MLOps pipelines and integrate models into production systems using microservices and cloud infrastructure.
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Act as the primary technical subject matter expert for Securiti AI solutions, supporting sales teams through the entire sales cycle. Lead technical discussions, deliver customized product demonstrations, and conduct proof-of-concepts to address customer data security and compliance needs.
Senior AI / ML Engineer 67 APPLICANTS
Seamless Specialized Services
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Full Time
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5 Weeks Ago
Seamless Specialized Services
The role involves designing, developing, and deploying AI/ML models and data pipelines using enterprise data from Oracle Fusion Cloud and Oracle Databases. You will collaborate with business stakeholders to translate business problems into technical AI solutions while ensuring data governance and security.
You will own the optimization algorithms and intelligence layer for manufacturing, including scheduling, resource allocation, and conflict resolution. Additionally, you will lead the integration of LLMs into the platform's AI assistant for cloud and edge deployments.
You will define and execute the performance engineering strategy for database and AI workloads, including benchmark design and systemic bottleneck identification. You will also collaborate with cross-functional teams to ensure predictable performance at scale through rigorous testing and reporting.
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