Lead the design and implementation of AI, Generative AI, and Machine Learning solutions to enhance software engineering and IT operations for the VA. Develop AI Copilots, RAG applications, and intelligent automation tools while ensuring compliance with government security and governance standards.
Remote AI Engineer Jobs (2,818)
Search = AI Engineer
Staff Network Engineer (AI Fabric, Datacenter and Edge Networking) - Radian Arc (EMEA)
SUBMER
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Full Time
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2 Weeks Ago
SUBMER
Design, implement, and operate high-performance AI fabrics and datacenter networking infrastructure to power a GPU cloud platform. Lead the long-term technical direction for interconnect networks while executing hands-on deployment and automation tasks.
Design, build, and operate the AI storage layer for large-scale GPU infrastructure to support distributed inference, fine-tuning, and training. This role involves architecting scalable storage solutions across edge and core deployments while optimizing data paths for high-throughput AI workloads.
Participate in end-to-end development of product features across frontend and backend while integrating AI coding tools into the workflow. Contribute to the full product lifecycle from design to deployment under the guidance of senior engineers.
Own the end-to-end development of product features across frontend and backend while integrating AI coding tools to maximize efficiency. Act as a full stack seed to mentor peers and scale AI-augmented development practices across the organization.
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AI Engineer (LLM / Generative AI)
Computer Task Group, Inc
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Full Time
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2 Weeks Ago
Computer Task Group, Inc
Design and develop scalable AI-enabled applications and intelligent automation solutions using LLMs and agentic workflows. Build backend services and APIs while implementing RAG patterns to integrate AI-driven insights into business applications.
Staff Security Engineer- AI Security (remote across Australia)
Canva
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Full Time
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2 Weeks Ago
Canva
Define the strategic direction and security frameworks for AI systems at scale, including the design of controls for training pipelines and inference endpoints. Lead research into emerging AI threats and establish organization-wide security standards and best practices.
Embed within client operations to learn business processes firsthand before rebuilding them using AI from first principles. Develop and ship production-ready GenAI systems and agentic workflows that drive measurable business outcomes.
Design and build agentic AI flows and backend features for GitLab Duo Chat using Python and Ruby on Rails. Integrate generative AI models and orchestrate multi-agent workflows to improve the DevSecOps platform's natural-language interface.
Design and deploy machine learning models for NLP and time-series forecasting, specifically building LLM-driven systems for financial data. Develop high-performance backend microservices in Go and Python to ensure scalable, low-latency AI inference pipelines.
Lead and mentor the Colombia engineering team while setting high standards for AI system design and delivery. Develop and ship complex production AI systems, including multi-step agent workflows and RAG pipelines for B2B clients.
The role involves co-creating and deploying production-ready GenAI and agentic AI solutions to solve complex client challenges. You will manage the full lifecycle from data qualification and prototyping to monitoring and creating reusable architectural patterns.
The role involves using AI coding agents to explore SDK codebases, design automated tests, and diagnose failures across various platforms. You will collaborate with builders to improve testability and integrate quality checks into active CI and release workflows.
Utilize AI coding agents to explore SDK codebases and build automated unit, component, and integration tests. Identify high-value quality improvements based on technical risk and collaborate with builders to prevent defects.
Utilize AI coding agents to explore SDK codebases and design automated unit, component, and integration tests. Identify high-value quality improvements based on technical risk and integrate them into active CI/release workflows.
The role involves using AI coding agents to explore SDK codebases and build automated unit, component, and integration tests. You will identify high-value quality improvements and integrate them into active CI and release workflows.
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Design and implement backend APIs and services that power user-facing AI product features and agent-driven experiences. Own features end-to-end from technical design through implementation, testing, and production monitoring.
Forward Deployed AI Engineer – Architect of Intelligence
Keyrus Brazil
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Full Time
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2 Weeks Ago
Keyrus Brazil
The role involves co-creating and deploying production-ready GenAI and agentic AI solutions to solve urgent client business challenges. You will translate use cases into technical architectures, prototype solutions, and ensure they are scalable, governed, and deliver measurable business value.
Own the identification, scoping, and delivery of AI-powered capabilities to automate workflows across product and operations. Build and maintain AI features using LLM APIs, RAG pipelines, and low-code orchestration tools.
Design and maintain reliable web-portal automation workflows using Playwright and Python to simplify access to essential benefits. Implement evaluation systems to measure accuracy and ensure high security and traceability for sensitive data handling.
Design and ship production-grade backend services that integrate AI models into financial crime compliance workflows. Automate AML/AFC operations and own the end-to-end service architecture to improve decision-making speed and confidence.
The role involves designing and executing the software development life cycle to build AI platform infrastructure and tools. Key duties include automating tasks, debugging systems, and collaborating with internal teams to improve AI-driven healthcare products.
Design and build the core backend systems and platforms powering Mural's agentic AI collaboration experiences. This includes developing orchestration, memory layers, and evaluation infrastructure to enable reliable AI agents at scale.
Architect and build production AI automation systems and multi-agent ecosystems to augment departmental workflows. Provide technical leadership through mentorship, code reviews, and translating technical concepts for executive stakeholders.
Design and maintain data pipelines to support AI model training and evaluation workflows. Develop automation tools for data collection and labeling while collaborating with ML researchers to improve model performance.
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Design and build enterprise-grade cloud solutions and AI-powered features using the Microsoft ecosystem. Develop middleware and API layers to integrate various enterprise platforms and manage CI/CD pipelines via Azure DevOps and GitHub Actions.
Design and deploy AI-powered applications using LLMs and RAG to automate corporate finance processes and generate business insights. Build integrations between AI solutions and enterprise planning platforms while ensuring compliance with corporate governance and security standards.
Senior / Principal Applied AI Engineer (UK / Europe, Remote)
GoCharting
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Full Time
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2 Weeks Ago
GoCharting
Build and deploy production-grade AI agents and agentic workflows to automate internal engineering and support processes. Develop bespoke AI capabilities integrated directly into the trading terminal and developer experience.
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