Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
Remote AI Engineer Jobs (2,816)
Search = AI Engineer
You will design, build, and ship production-grade ML models for high-impact use cases while owning the end-to-end ML lifecycle. Collaborate across product, engineering, and data teams to drive AI initiatives and mentor junior engineers.
Design and build backend systems that support scaling AI solutions for over 167,000 customers. Develop robust data collection and processing pipelines for machine learning models and contribute to evolving the agentic architecture.
Lead the design and development of backend systems that enable scalable AI solutions for over 167,000 customers. Drive the integration of large language models into production systems to power AI agents for real-time customer experiences.
Senior Backend Engineer (Ruby), AI Engineering: DAP Repository Flows
GitLab
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Full Time
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13 mins ago
GitLab
You will own the end-to-end design and delivery of features for the Duo Agent Platform, including onboarding and autonomous repository flows. You will also collaborate with cross-functional teams to build agentic experiences and contribute to the team's technical quality through code and design reviews.
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Staff Backend Engineer (Ruby), AI Engineering: DAP Repository Flows
GitLab
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Full Time
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13 mins ago
GitLab
The Staff Backend Engineer will lead the technical direction for the Duo Agent Platform Repository Flows team, focusing on onboarding and autonomous agent design. They will mentor team members, drive complex cross-team initiatives, and ensure high-quality engineering standards for AI-powered automation.
You will own and maintain a private AI platform and build a workforce of autonomous agents to automate engineering operations. This involves designing workflows, managing infrastructure, and ensuring cost-effective, secure AI integration across engineering teams.
You will architect and build a shared internal AI platform to automate engineering workflows and scale agentic systems across the company. This role involves defining the AI strategy, integrating tools into the SDLC, and partnering with cross-functional teams to drive adoption and operational efficiency.
Junior AI Data Engineer
Cortica - Neurodevelopmental
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Full Time
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3 hours ago
Cortica - Neurodevelopmental
The Junior AI Data Engineer will contribute to data pipeline development and maintenance while utilizing AI coding tools to build production-quality work. They will collaborate with cross-functional teams including data science, finance, and clinical operations to support data-driven decision-making.
You will serve as the primary technical architect securing enterprise cloud infrastructure and AI/ML product capabilities. The role involves managing large security projects, implementing PHI governance, and ensuring compliance with healthcare regulations.
AI Product Engineer, Finance Systems (Full Stack, Next.js + Supabase)
Koin Limited
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Full Time
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7 hours ago
Koin Limited
Design, develop, and deploy scalable software solutions that incorporate AI and machine learning models. Collaborate with cross-functional teams to implement algorithms and maintain data pipelines for model training.
The AI Solutions Engineer will design and recommend cutting-edge AI infrastructure solutions, including hardware configurations and performance optimizations for NVIDIA DGX and OEM platforms. They will act as a subject matter expert, collaborating with sales teams and customers to translate business requirements into scalable data center solutions.
Develop novel computer vision models for diagnosing pet health conditions and build full-stack applications to make these models accessible to veterinary professionals. You will also maintain backend services, deploy ML systems in production, and collaborate on video capture platforms.
You will identify and automate high-leverage internal workflows by building and deploying AI capabilities end-to-end. The role involves partnering on data and architecture to create reusable patterns that improve both internal operations and user-facing intelligence.
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You will define and evolve engineering practices while partnering with managers to improve architecture and technical design across multiple teams. Additionally, you will serve as a hands-on contributor, building production systems and leading complex initiatives in AI, cloud, and infrastructure.
Design and implement end-to-end agentic workflows and AI-driven applications using TypeScript and Java. Collaborate with cross-functional teams to optimize AI performance, reliability, and architectural scalability.
Senior Full-Stack Software Engineer, Applied AI (Jan 12, 2026)
Circle.so
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Full Time
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10 hours ago
Circle.so
You will lead the development of full-stack AI solutions, including AI agents and RAG systems, using Ruby on Rails and React. Additionally, you will design and execute experiments to validate AI features and optimize infrastructure for production-level performance.
You will design, build, and test prompts and LLM-driven components to power client solutions and internal accelerators. Additionally, you will implement evaluation harnesses and guardrails to ensure the quality and stability of AI outputs.
Design, build, and maintain AI-powered automations and integrations across corporate SaaS and cloud platforms. Collaborate with cross-functional teams to identify opportunities for AI-driven process innovation and operational efficiency.
AI Software Engineer (Agentic AI)
Exavalu Solutions India Pvt Ltd
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Full Time
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16 hours ago
Exavalu Solutions India Pvt Ltd
Design, develop, and deploy production-ready Agentic AI applications and scalable backend services. Manage API integrations, data transformation pipelines, and service orchestration while ensuring application reliability and performance.
You will support enterprise generative AI capabilities by connecting user needs with platform tools and guiding use-case intake. Additionally, you will partner with cross-functional teams to ensure responsible use, governance, and measurable value through pilots and workshops.
Own the end-to-end delivery of AI agents for the embedded team, from problem identification through production adoption. Monitor agent performance and build a self-serve operations model to ensure measurable business impact.
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Lead the end-to-end delivery of AI products and establish an AI Factory model to enable scalable implementation across the enterprise. Drive execution of AI initiatives while fostering cross-functional collaboration and championing best practices in MLOps and responsible AI.
AI Systems Engineer (Aerospace Integrations) (DC or Philly Metro/Remote)
Element 84
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Full Time
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Yesterday
Element 84
You will design and build autonomous multi-agent systems to convert natural language mission requirements into validated spacecraft component designs. You will also serve as a domain expert to ensure AI-generated hardware meets physical, safety, and manufacturing standards.
Design, build, and deploy AI-powered features and integrate LLMs into production SaaS applications. Collaborate with cross-functional teams to develop scalable backend services and maintain data pipelines for AI workflows.
Design and implement a comprehensive TEVV strategy for AI-native geospatial platforms, ensuring statistically defensible evaluations and adherence to NIST AI RMF standards. Manage the evidence set for system credibility, including test plans, traceability matrices, and continuous monitoring for model drift.
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