[CMI] Senior AI Engineer
Develop and optimize multi-agent systems and prompt engineering strategies for diverse client projects. Integrate LLMs into cloud-based applications and implement AI-powered automation workflows.
2,891 AI Engineer jobs available for remote work from home. Apply for positions such as [CMI] Senior AI Engineer, [CMI] AI engineer, AI Engineer (REF5308Q) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 300,000+ remote workers worldwide.
Develop and optimize multi-agent systems and prompt engineering strategies for diverse client projects. Integrate LLMs into cloud-based applications and implement AI-powered automation workflows.
Design, build, and deploy AI and Generative AI solutions, including LLM-powered applications and RAG pipelines. Collaborate with clients to integrate AI models into cloud-based applications and implement agent-based automation workflows.
Design and implement production-ready agentic AI solutions and RAG systems using Python and cloud infrastructure. Own the full lifecycle from architecture and development to deployment, monitoring, and operational maintenance.
Design, develop, and deploy scalable Generative AI solutions, including LLM-powered pipelines, AI agents, and RAG architectures. Collaborate with cross-functional teams to integrate these AI capabilities into production-ready systems and automated workflows.
Design and implement security guardrails for AI-powered products and an AI-first workforce. Automate security workflows and integrate security tooling with LLM layers to surface actionable insights.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Architect and drive core AI/LLM infrastructure and features from conception to production for a legal AI platform. Lead the development of systems for complex legal reasoning, document analysis, and the implementation of rigorous legal-grade evaluations.
Lead the design and development of scalable backend systems and infrastructure to power AI-driven treatment recommendations and personalization. Collaborate with ML engineers to productionize models and integrate intelligent decisioning into healthcare workflows.
Own the AI agent infrastructure and automation platform to power Marketing Operations, building multi-agent architectures and LLM integrations. Design and deploy scalable backend services and workflows that connect AI models to internal and third-party data platforms.
Own the AI agent infrastructure and automation platform to power Marketing Operations, building multi-agent architectures and LLM integrations. Design and deploy scalable backend services and workflows that connect AI models to internal and third-party data platforms.
Design and develop scalable backend components and microservices using .NET and C#. Integrate AI capabilities and AI-assisted development tools into application workflows and the SDLC process.
Design and build production-grade LLM-powered applications and agentic workflows using Python. Implement RAG pipelines and integrate AI systems with backend services and cloud platforms.
Develop and implement AI agents, GenAI applications, and RAG workflows to drive operational efficiency. Build secure backend services, API integrations, and automation scripts for enterprise collaboration platforms.
Design and implement AI and GenAI features using platforms like Azure AI Foundry and orchestration frameworks. Build full-stack applications and integrate backend services with SQL/NoSQL databases.
Design and implement advanced AI and GenAI features using multi-agent workflows and RAG architectures. Build scalable full-stack applications and lead the integration of AI-assisted development practices across the SDLC.
Partner with enterprise AI teams to design and scale production-grade GenAI observability and evaluation programs. Build custom integrations and tooling to extend the Arize platform while managing multiple concurrent client engagements.
Build and ship production-ready AI-powered product features and LLM-based workflows from idea to deployment. Improve existing AI systems for quality, reliability, and latency while integrating capabilities into backend systems.
Build and own production-ready internal AI agents and automation to replace manual workflows across various brands. Establish the technical standards and stack for the full-time AI team while coaching non-technical staff on AI-native workflows.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Design and deploy complex end-to-end distributed web applications and AI-powered pipelines for investigative data analysis. Architect high-performance full-stack applications and integrate LLM-driven frontends with scalable backend architectures.
Build and evolve AI-powered tools and agentic systems to enhance the software development lifecycle for engineers, product managers, and designers. Collaborate cross-functionally to implement secure inference pathways and monitor AI performance and cost within a healthcare context.
Design and build LLM-powered autonomous hacking agents capable of performing full-scale offensive security attacks with minimal human intervention. Develop agent architectures, integrate offensive security toolchains, and build evaluation harnesses to measure AI performance.
Architect end-to-end systems and write precise specifications to direct AI agents in generating production-grade code. Validate AI outputs for security and architectural alignment while evolving AI-first development methodologies.
The role involves embedding with clients to translate complex fraud and compliance challenges into technical AI architectures. You will architect, train, and deploy custom AI agents and intelligent workflows into production environments.
Build and deliver end-to-end AI and agent-first products, owning the full software stack from architecture to release. Collaborate with designers and product managers to define product concepts and prototype MVP iterations that align with organizational goals.
The Senior Director will define and execute the data and AI engineering strategy across the R&D value chain, managing a high-performing team to deliver scalable data and AI solutions. This role involves overseeing the implementation of AI use cases and ensuring adherence to governance standards.
Architect and build production-ready multi-agent AI systems that transform longitudinal health data into actionable medical insights. You will own the end-to-end pipeline including orchestration, retrieval, evaluation, and observability to ensure safety and reliability.
Build AI-native product features and automated agent systems to help financial advisors and business owners analyze performance. Develop backend services, data pipelines, and evaluation loops to ensure the reliability and accuracy of LLM-powered systems.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Build automated intelligence pipelines to collect and parse AI vendor documentation and benchmarks into a structured knowledge graph. Design synthesis systems that map technical capabilities to risk taxonomies to power an AI Governance Intelligence Engine.
Design and operationalize AI-powered workflows and integrations across support platforms like Zendesk and Decagon to improve customer and specialist experiences. You will build quality checks and monitoring guardrails to ensure AI workflows are reliable and measurable in production.
Design and implement AI-powered features and integrate LLMs into Vanta's existing products to accelerate customer compliance. Collaborate with cross-functional teams to build scalable AI systems, establish guardrails, and mentor other engineers.
Design and develop generative AI solutions and AI agents for internal tools and customer-facing applications. Collaborate with cross-functional teams to integrate AI technology into existing systems and educate developers on AI implementation.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work