Senior AI Engineer
Design and develop a conversational analytics agent for clinical data using Generative AI and agentic workflows. Implement robust guardrails, data access controls, and evaluation frameworks to ensure traceability and performance.
Browse and apply for latest Remote Jobs and work remotely as a AI Developer, Artifical Intelligence Engineer with skills such as ai, machine learning, artifical intelligence for Lead, Senior and Junior roles full-time, part-time, contract or freelance. Work from home or any place around the world.
Trusted by 200,000+ remote workers worldwide.
Design and develop a conversational analytics agent for clinical data using Generative AI and agentic workflows. Implement robust guardrails, data access controls, and evaluation frameworks to ensure traceability and performance.
The AI Engineering Architect will own the internal AI tooling stack, including agentic coding workflows, evals, and automation to accelerate engineering development. They will identify bottlenecks and make strategic infrastructure decisions to improve overall engineering velocity.
You will design and implement autonomous AI agents to streamline internal processes across various departments like accounting, legal, and sales. Additionally, you will monitor agent performance, develop necessary APIs, and train internal teams on the effective use of AI technologies.
The role involves analyzing and maintaining Java and Spring Boot applications while utilizing AI tools for code refactoring and documentation. You will also be responsible for identifying technical debt, ensuring system performance, and collaborating on CI/CD and DevOps processes.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
You will leverage AI builder tools to rapidly architect, build, and deploy customer-facing business applications and intelligent workflows. Additionally, you will collaborate with cross-functional teams to identify operational bottlenecks and translate user feedback into prioritized product requirements.
The AI Delivery Manager will own the end-to-end execution, delivery governance, and operational strategy for the Boxed AI programme. They will bridge the gap between leadership strategy and delivery teams while managing cross-functional dependencies and reporting.
Create high-volume, realistic, and diverse video ads using scripts, source footage, and AI-generated assets. Produce various formats including talking-head, UGC-style, B-roll-driven, and motion graphics ads.
You will build production AI features end-to-end, taking them from initial concept through to deployment. This involves working across the full stack, including API design, data integration, and creating streaming interfaces for document-heavy UIs.
You will design, build, and maintain automated workflows to optimize the Patient Experience Team's operations. This involves integrating AI agents and LLMs with Zendesk and backend systems to reduce manual processes and improve response times.
You will develop and execute a comprehensive, AI-first marketing architecture to drive demand and revenue. Your role involves identifying effective channels, automating processes, and building a scalable marketing engine from the ground up.
You will lead, mentor, and grow a team of AI engineers to build an agentic harness that optimizes product and engineering workflows. You are responsible for defining the AI substrate, managing inference economics, and implementing evaluation infrastructure to ensure high-quality, measurable outputs.
Design, build, and maintain scalable backend services and REST APIs while integrating advanced AI capabilities like LLMs and RAG into application features. Collaborate with cross-functional teams to deliver end-to-end solutions while ensuring high code quality, system reliability, and performance optimization.
The AI Data Analyst & Project Manager will collect and analyze data related to AI initiatives while providing operational and project management support to the VA Chief AI Officer organization. This role involves tracking project deliverables, identifying risks, and translating complex technical findings into actionable insights for executive leadership.
The Full Stack AI Engineer leads the technical delivery of agentic AI programs by designing and building production-grade systems while managing client engagements. They are responsible for hands-on coding, team leadership, and establishing DevOps and AgentOps practices to ensure high-quality, scalable AI solutions.
The Head of AI will define and execute the organization's AI vision, strategy, and governance framework to drive business transformation. They will lead high-impact AI initiatives and partner with executive leadership to embed AI into business strategies across the enterprise.
The AI Research Scientist will design and develop innovative machine learning solutions, specifically focusing on generative models and recommender systems to enhance content discovery. They will lead end-to-end ML development, including research, model training, and evaluation, while partnering with cross-functional teams to integrate these models into business applications.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
The AI Platform Support Technician acts as the first responder for platform incidents, diagnosing issues and maintaining system health. They are responsible for creating and updating technical runbooks in Git and escalating complex issues to the engineering team.
The AI Program Manager will lead the end-to-end delivery and operationalization of AI capabilities from initial business need through to final ownership. Responsibilities include managing governance processes, steering committees, and ensuring all AI deployments meet rigorous evidence-based promotion thresholds.
The Commercial AI Lead will define and execute the AI roadmap for commercial workflows, including lead-to-order and pricing processes. They will partner with cross-functional teams to design and integrate scalable AI solutions that drive measurable business impact.
The Senior Principal AI Business Partner shapes AI investment, portfolio prioritization, and delivery standards across business units. They act as a strategic advisor to executive sponsors, overseeing complex AI programs from discovery to production.
You will embed with intelligence analysts to build AI-powered products, tooling, and infrastructure that scale intelligence collection. You will own the end-to-end development of internal applications, including back-end services, APIs, and custom agentic solutions.
You will embed with intelligence analysts to build AI-powered products, tooling, and infrastructure that scale intelligence collection. You will own the end-to-end development of internal applications, including back-end services, APIs, and agentic solutions.
The AI Security & DevOps Engineer will own the security standards for AI systems from prototype to production, including threat modeling and CI/CD gates. Additionally, this role will lead client security engagements, translating requirements into secure technical implementations and evidence packs.
This role acts as a bridge between commercial stakeholders and technical teams to design and implement AI-powered data agent solutions. Responsibilities include gathering business requirements, defining use cases for conversational AI, and ensuring the accuracy and adoption of data-driven insights.
The AI Product Director will define the product strategy, roadmap, and pricing for the FinOps AI pillar while managing design partner engagements. This role involves hands-on execution to take the product from MVP to meaningful ARR before scaling into a broader go-to-market leadership position.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
You will own end-to-end product development for AI security, building and shipping LLM-driven workflows and intelligent systems. You will define problems, make architectural decisions, and execute independently across the full stack.
The AI Engineer will design and develop conversational AI solutions, virtual agents, and voice assistants using the Cognigy platform. They will also lead technical execution, integrate enterprise systems, and provide ongoing support to ensure long-term client success.
Develop and deploy cutting-edge GenAI solutions while serving as a trusted technical advisor to customers. Collaborate cross-functionally with product and engineering teams to influence the product roadmap and present at industry conferences.
The Principal Engineer will architect the Applied AI stack to ensure robust, scalable, and reliable patient-facing experiences. They will partner with research teams to productionize AI-driven features while instilling engineering rigor and operational excellence across the organization.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Learn more about Software Development remote jobs