AI Engineer
You will build tools to evaluate agent behavior, analyze traces, and implement features for automatic self-improvement. Additionally, you will run experiments on Mastra primitives to optimize configuration and performance.
Remote Software Development Jobs in Saint Lucia
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You will build tools to evaluate agent behavior, analyze traces, and implement features for automatic self-improvement. Additionally, you will run experiments on Mastra primitives to optimize configuration and performance.
The role involves building complex machine learning and econometric models to solve unstructured business problems while ensuring data stability and production scalability. You will also lead data sourcing efforts, mentor less experienced team members, and collaborate with stakeholders to translate model outcomes into business value.
Administer and maintain secure cloud-hosted research applications, AI systems, and production services across GCP and AWS environments. Manage infrastructure, CI/CD pipelines, security compliance, and incident response to ensure reliable service delivery.
Design, implement, and maintain comprehensive observability solutions including metrics, logs, and traces across the organization. Collaborate with cross-functional teams to embed observability by design while optimizing operational costs and system performance.
Design and build complete agent-powered features, managing everything from frontend interfaces to backend services and data storage. Operate and scale infrastructure while working closely with product and design teams to iterate on creative tools.
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The Solutions Architect will define technical strategy, architectural standards, and product roadmaps while overseeing engineering priorities. They will also engage in sales conversations, mentor senior engineers, and provide hands-on technical leadership for critical projects.
You will build and scale production-ready creative agents by designing reliable backend systems and orchestrating model integrations. You will own features end-to-end, from prototyping and development to monitoring and production support.
The Support Engineer will design, deploy, and monitor services while managing release processes and automating improvements. They will also focus on observability, incident mitigation, and root cause analysis to ensure system resilience.
The analyst will configure and support Oracle Fusion Financials modules while managing business process analysis and issue resolution. They will also collaborate with technical teams to ensure seamless integration across finance and procurement systems.
Develop, maintain, and modernize iOS applications while evolving the architecture for scalability and modularization. Collaborate with cross-functional teams to integrate Kotlin Multiplatform and optimize application performance.
The role involves deploying and troubleshooting network infrastructure while providing technical support during client sales engagements. You will also be responsible for executing technical onboarding roadmaps and maintaining proficiency through industry certifications.
The Data Analyst will support data profiling, lineage validation, and regulatory reporting initiatives by analyzing complex datasets in Snowflake. They will investigate data quality issues, perform root cause analysis, and translate business requirements into actionable data solutions.
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 role involves leading the migration of an R-Framework to the cloud and optimizing integration with REST APIs and JSON structures. Additionally, the developer will drive large-scale data reconciliation and support the Risk department in streamlining deployment pipelines.
The developer will be responsible for analyzing and programming Java-based solutions. The role requires integrating AI tools like GitHub Copilot into the development workflow.
The architect will design and implement scalable ServiceNow ITSM solutions while defining platform standards and governance. They are responsible for leading workflow automation, CMDB data quality initiatives, and managing enterprise-wide integrations.
Responsible for developing, testing, and maintaining software components and modules to meet client requirements. Integrates components into team projects and performs both corrective and evolutionary maintenance to ensure system functionality.
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The Computer Vision Engineer will design, develop, and deploy machine learning solutions to interpret visual data such as images and video streams. They will collaborate with cross-functional teams including data scientists and software engineers to build scalable, production-ready systems.
The role involves developing scalable backend services and integrating Generative AI models, including RAG architectures, into production environments. You will be responsible for writing clean, efficient code, optimizing server performance, and collaborating on technical documentation and code reviews.
Develop and maintain automated test scripts for web applications while performing manual functional and regression testing. Collaborate with developers and product owners to integrate automated tests into CI/CD pipelines and ensure high software quality.
You will independently own a component or slice of the platform, making technical decisions and ensuring system health in production. You are expected to turn business requirements into technical plans and mentor other engineers to raise the team's overall performance.
Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-native data solutions using Python, PySpark, and Snowflake. Collaborate with cross-functional teams to optimize data performance, ensure data quality, and implement robust data governance practices.
The developer will design, build, and maintain custom Salesforce solutions using Apex and Lightning Web Components. They will also collaborate with architects and stakeholders to implement integrations and ensure high code quality through testing and CI/CD workflows.
The consultant will lead end-to-end Salesforce implementations and enhancements for Sales and Service Cloud environments. They are responsible for translating business requirements into scalable solutions, configuring platform features, and coordinating with stakeholders for successful delivery.
Design and lead end-to-end AI system architectures across enterprise environments, including LLM applications and RAG systems. Establish governance, security, and performance standards while guiding engineering teams through implementation.
The role involves designing, deploying, and maintaining scalable machine learning systems in production environments. You will collaborate with cross-functional teams to operationalize models, build robust data pipelines, and implement MLOps best practices.
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Design, build, and maintain automated testing frameworks for web applications and APIs while integrating them into CI/CD pipelines. Collaborate with cross-functional teams to improve test coverage, document defects, and ensure high-quality software delivery.
Design, develop, and maintain scalable backend services and REST APIs while ensuring system performance and security. Collaborate with cross-functional teams to build event-driven microservices and integrate with cloud-native architectures.
Design and build scalable data pipelines to support machine learning workflows, including feature engineering and real-time data ingestion. Collaborate with cross-functional teams to ensure data quality, monitoring, and efficient model deployment.
Design and build scalable data pipelines while optimizing transformation workflows in Snowflake or Databricks. Collaborate with cross-functional teams to ensure high-quality, performant, and secure data systems for analytics and reporting.
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