AI Engineering Lead
Architect and ship end-to-end AI applications while serving as the technical authority for the engineering team. Lead technical direction, review solution architectures, and mentor engineers through code reviews and growth plans.
Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
Trusted by 300,000+ remote workers worldwide.
Architect and ship end-to-end AI applications while serving as the technical authority for the engineering team. Lead technical direction, review solution architectures, and mentor engineers through code reviews and growth plans.
Serve as the design authority for migrating a manufacturing client from SAP Business One to S/4HANA. Define the target architecture across finance, supply chain, and manufacturing while ensuring integration with MES and third-party systems.
Architect and deploy advanced SAP Analytics Cloud budget models to automate forecasting and enhance financial control. Lead the integration of SAC with S/4HANA and provide data-driven insights to leadership.
Own the ingestion and normalization pipelines that bring marketing data from various third-party APIs into the Shadow platform. Ensure data reliability, security, and scalability for a multi-tenant environment to support AI agents.
Review and evaluate AI-generated text and multimedia content to ensure accuracy, clarity, and cultural appropriateness. Provide structured annotations and feedback to improve AI model performance based on local norms and market expectations.
We watch for new remote software development jobs and email you the matches. Free. Unsubscribe in one click.
Lead the technical discovery and architectural governance for high-impact EdTech and LMS digital transformation programs. Convert complex academic requirements into scalable frameworks and guide engineering teams from inception to deployment.
Architect and scale automation frameworks for Laravel backends, Moodle environments, and AI-based educational tools. Integrate quality gates into CI/CD pipelines and monitor system health using observability tools.
Develop and customize enterprise-grade EdTech and LMS platforms using PHP, Laravel, and Moodle. Focus on building multi-tenant architectures and optimizing database performance for high-traffic student spikes.
Lead the interface and experience design for AI-powered EdTech platforms and Learning Management Systems. Collaborate with cross-functional teams to create seamless human-AI interactions, user journeys, and data-driven dashboards.
Act as the bridge between academic workflows and technical implementation by converting business needs into precise technical documentation and user stories. Design RESTful APIs and system integrations between Moodle, Laravel environments, and third-party educational systems.
Develop new and legacy integrations across various platforms and maintain integration flows. Collaborate with other engineers to ensure technical standards and support the stability of the integration ecosystem.
Develop and extend Power BI reports embedded within Dynamics 365 F&O workspaces. Manage data extraction and modeling using Entity Store, OData, and Azure SQL to create interactive visuals and analytical workspaces.
Build and optimize CRM systems, lead funnels, and automations primarily using Go High Level to drive client results. Collaborate with account management teams to troubleshoot integrations and document internal workflows for training.
Design and maintain scalable, event-driven data pipelines for course and job matching, including the creation of semantic embeddings and knowledge graphs. Build and optimize discovery APIs on AWS Lambda and maintain robust web scrapers for institutional data.
Design, build, and maintain secure backend services and REST APIs using Java and Spring Boot. Ensure platform stability by optimizing databases, managing cloud infrastructure on AWS, and mentoring junior developers.
Lead the identification and implementation of AI-forward technology solutions to accelerate impact across a global education network. Manage a team of engineers and specialists to develop strategies that increase organizational effectiveness and network efficiency.
You will build and maintain testing frameworks and infrastructure while collaborating with cross-functional teams to ensure high-quality feature delivery. Additionally, you will monitor quality metrics, automate routine tasks, and implement improved testing workflows.
We watch for new remote software development jobs and email you the matches. Free. Unsubscribe in one click.
The AI Program Manager will lead end-to-end client engagements by translating business requirements into actionable AI solutions. They are responsible for driving strategy, managing project timelines, and ensuring measurable ROI and adoption across multiple client projects.
You will design and maintain scalable, event-driven data pipelines and manage semantic embeddings to power an intelligent matching platform. Additionally, you will build and improve discovery APIs and maintain daily job and institution scrapers.
The role involves designing and maintaining end-to-end data processing infrastructure, including scalable, event-driven pipelines that process daily records and generate semantic embeddings for a personalized matching platform. Responsibilities also include building and improving a two-stage discovery and matching API on AWS Lambda and managing infrastructure costs.
The role involves leading research in emerging AI paradigms such as autonomous agent systems, test-time compute optimization, and multimodal understanding, applying these innovations to real-world challenges in digital safety and fraud detection. Key tasks include designing multi-agent architectures, optimizing inference compute, and building advanced RAG systems for complex data analysis.
The scientist will analyze various data types to identify patterns and anomalies, translating quantitative findings into actionable recommendations for product and engineering teams. Responsibilities also include designing and maintaining AI agents, dashboards, and reporting pipelines to monitor data quality and product health.
You will review and discuss garment quality inspection scenarios with the AI model and verify whether model reasoning aligns with real factory QC practices. Additionally, you will evaluate defect classification and suggest improvements to training prompts.
You will record scripted material and assess AI-generated outputs for linguistic accuracy and naturalness. Additionally, you will annotate errors and collaborate with the team to refine prompts and voice design guidelines.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Learn more about Software Development remote jobs