AI Solutions Engineer
Lead the design and implementation of scalable AI solutions and RAG-based architectures for clients. Mentor engineering teams and collaborate cross-functionally to integrate APIs and data pipelines into production.
Remote AI Engineer Jobs in Colombia
155 AI Engineer jobs in Colombia available for remote work from home. Apply for positions such as AI Solutions Engineer, Sr. AI Security Engineer, Senior AI Product Engineer, Backend and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead the design and implementation of scalable AI solutions and RAG-based architectures for clients. Mentor engineering teams and collaborate cross-functionally to integrate APIs and data pipelines into production.
Design and implement security safeguards for internal AI and agentic systems, focusing on runtime enforcement and identity controls. Establish observability, detection capabilities, and threat models to prevent unsafe AI-driven activity and protect developers.
You will write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, while building high-volume analytics systems. Additionally, you will design and build APIs specific to customer workflows and contribute to the development of in-house AI agents.
You will write maintainable, scalable, and performant code across the stack primarily in Typescript and React, and design and build APIs specific to customer workflows. Additionally, you will collaborate with product and design teams to enhance product offerings and contribute to architectural decisions.
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The Digital Solution Engineer is responsible for driving technical sales and winning customer decisions for Microsoft Cloud and AI infrastructure solutions. They will build trusted advisor relationships with technical decision makers to co-develop secure, scalable architectures and facilitate successful cloud migrations.
Provide oversight to frontline NOC teams to ensure 24x7 service uptime and rapid incident response for AI cloud infrastructure. Manage compute, storage, and network resource pools while driving automation and documentation efforts to improve reliability.
Develop and maintain scalable Python applications, backend services, and production-ready Agentic AI solutions, including autonomous agents and multi-agent workflows. Integrate LLMs, APIs, tool and function calling, and RAG where applicable, while supporting testing, deployment, and optimization.
You will serve as the primary technical architect for large-scale AI and HPC customer initiatives, bridging the gap between business objectives and hardware execution. Responsibilities include designing GPU supercomputing clusters, generating detailed bills of materials, and guiding customers through successful deployments.
Build and maintain open source AI integrations, frameworks, and example applications that demonstrate Backblaze B2 Cloud Storage capabilities. Collaborate with product and QA teams to ensure integrations reflect real-world customer AI workflows and best practices.
You will serve as the lead technical architect, designing the platform's infrastructure, data layers, and AI agent workflows while guiding a distributed team of engineers. You will be hands-on in building core framework skeletons and defining technical standards for production-grade AI systems.
The AI Developer Tools Engineer will design and maintain tooling that enables AI coding agents to build effectively on the Midnight blockchain. This role acts as a bridge between developer feedback and the core protocol roadmap to ensure the platform remains a top-tier target for agentic software development.
You will own end-to-end ML/AI systems, including data pipelines, model training, and serving infrastructure. Additionally, you will build and optimize LLM-powered applications, RAG pipelines, and multi-agent orchestration systems.
Design, build, and maintain scalable backend services using Java and Python while managing distributed systems and data pipelines. Take full ownership of features throughout their lifecycle and collaborate with teams to implement AI-assisted development workflows.
Design and develop edge machine learning systems and scalable infrastructure to improve the autonomy and safety of construction robots. Optimize computer vision and sensor fusion models while integrating cloud-based AI tools into the autonomy stack.
Develop and maintain comprehensive test plans while executing manual testing for web and mobile applications within the trucking industry. Collaborate with the development team to identify defects, perform regression testing, and continuously improve testing methodologies.
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You will build and ship complete features across the React frontend and Django backend. This includes designing data models, developing APIs, and implementing algorithmic logic to support AI-driven systems.
Develop and maintain scalable data pipelines and models to support cybersecurity, GRC, and AI-assisted workflows. Collaborate with cross-functional teams to ensure data reliability, audit readiness, and effective integration with enterprise platforms.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
Lead the DesignOps and UI Systems organization to build a unified design system and pattern library across multiple product lines. Define the design-to-development workflow and integrate Applied AI and Generative UI patterns to create adaptive user experiences.
The Senior Dynamics 365 Engineer will design, deploy, and optimize core business applications across Sales, Field Service, and Intelligent Order Management. They will also lead the development of agentic workflows using Microsoft Copilot Studio and integrate AI-driven autonomous tasks into existing business logic.
Build and maintain scalable full-stack applications and APIs using TypeScript, Node.js, and React for a mental healthcare platform. Own features from concept to production while collaborating with cross-functional teams to improve system performance and reliability.
The intern will develop an LLM and VLM tool to support multi-modal content and external enterprise data sources. They will also build secure connectors for authentication, document ingestion, and retrieval workflows within a scalable backend architecture.
Lead the design and development of production-grade autonomous and multi-agent AI systems. Oversee technical leadership and the creation of AI agents to support software development workflows including coding, testing, and CI/CD.
The AI Engineering Strategist will design and build production-quality AI solutions that integrate seamlessly into client workflows to drive business impact. They are responsible for the full project lifecycle, from technical architecture and development to stakeholder presentation and team documentation.
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You will lead and mentor the Colombia engineering team while staying hands-on with the development of complex, production-grade AI systems. You will also collaborate with clients to translate business problems into technical architectures and ensure high-quality delivery.
Lead the end-to-end delivery of AI engineering projects from problem definition through production deployment on GCP. Direct external contractors and collaborate cross-functionally to translate business needs into technical specifications and scalable AI infrastructure.
Lead and grow a team of AI/ML and platform engineers while overseeing the architecture and delivery of intelligent payment routing and AI-powered workforce products. You will manage the full engineering lifecycle, including hiring, performance development, and technical strategy to ensure high-quality, scalable solutions.
The instructor will create and maintain AI automation course content while leading live online sessions for cohorts. They are responsible for mentoring students, developing hands-on projects, and providing constructive feedback on assessments.
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