The role involves developing and maintaining robust, scalable backend applications, primarily focusing on building REST APIs and designing automated workflows using tools like Apache Airflow. Responsibilities also include thorough documentation of code and technical processes.
Remote Software Development Jobs in Argentina (831)
Remote in = Argentina
Job category = Software Development
The main responsibilities include developing and maintaining robust, scalable backend applications, specifically focusing on building REST APIs and designing/managing automated workflows using Apache Airflow. The role also requires thorough documentation of code and technical processes.
Responsibilities include creating detailed test plans and cases, reviewing specifications with the development team, and estimating, prioritizing, planning, and coordinating testing activities for the project. The role also involves identifying and tracking bugs, designing automation scripts, and performing regression testing.
The role involves developing and maintaining integrations to connect Fireflies data with external platforms, ensuring smooth data flow between systems. This requires optimizing existing integrations and collaborating cross-functionally to deliver seamless user experiences using API frameworks.
The engineer will own and evolve the LLM orchestration pipeline, focusing on designing and optimizing the multi-agent system, implementing parallelization, and building robust prompt management features. Key tasks also involve designing Retrieval-Augmented Generation (RAG) systems and developing production-ready APIs for AI capabilities.
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The engineer will own and transform the advisor user experience by building and refining the dashboard, conversation views, and insight panels where wealth management advisors interact with the Sophie AI orchestrator. Key tasks include implementing real-time streaming UI, establishing consistent design systems, and optimizing application performance for smooth interactions.
The role involves collaborating with cross-functional teams to design and build AI Agentic solutions, contributing to technical requirements definition, and implementing features across the entire software lifecycle. Responsibilities also include owning tasks, delivering high-quality code, managing backend work, and staying informed about AI trends.
The role involves designing, building, and maintaining full-stack applications for identity and access management (IAM) experiences, while developing and integrating AI/ML models for use cases like fraud detection and risk-based authentication. Responsibilities also include leading SSO migrations, consolidating identity domains, and improving developer experience through internal tooling and APIs.
The engineer will own the design and implementation of features within the Javascript stack that engage customers and contribute to improving user experience and performance. Responsibilities also include adopting strong software architecture, participating in code reviews, mentoring, and partnering with cross-functional teams to refine the product.
The Senior Machine Learning Engineer will lead the design, development, and deployment of complex machine learning models, working with large datasets to build predictive analytics pipelines. This role involves collaborating cross-functionally to architect cloud data solutions, automate workflows, and mentor junior team members.
The Full Stack AI Engineer will design, build, and deploy AI/ML solutions to enhance identity experiences across platforms. Responsibilities include developing NLP models, implementing AI-powered virtual agents, and automating resolution workflows.
The engineer will design and implement AI/ML models to detect, prevent, and respond to various security threats like fraud and anomalies, while building and maintaining necessary data pipelines for model lifecycle management.
The Staff Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources. This role also involves owning the data storage architecture and operationalizing AI/ML workflows by preparing clean, versioned datasets for models and APIs.
The role involves executing manual and automated tests across various components, focusing heavily on validating data transformations and business rules using strong SQL skills. Responsibilities also include creating test artifacts, supporting automation efforts, and collaborating with engineering teams to troubleshoot defects.
The role involves designing, building, and maintaining backend services primarily using Java, while also contributing to frontend development with TypeScript and modern frameworks. Key duties include owning features end-to-end, quickly resolving production bugs, and participating actively in architectural discussions.
The lead will design and maintain operating systems for the executive office, translating unstructured inputs into durable, AI-powered workflows to eliminate low-leverage work. Responsibilities include architecting AI-first systems using various LLMs, managing data architecture for AI consumption, and owning ClickUp as the execution backbone.
The engineer will be responsible for building pixel-perfect UIs with meticulous attention to detail, translating Figma mockups into production-ready interfaces, and owning the frontend architecture using advanced TypeScript patterns and scalable React structures. They will also own features end-to-end, driving them from concept to launch while maintaining high quality and performance.
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The QA Engineer will design, execute, and maintain test cases, performing functional, regression, integration, and API testing using tools like Postman and Bruno. They will collaborate with developers to improve testability, participate in Agile ceremonies, and support CI/CD pipelines from a quality perspective.
The developer will be responsible for creating new features using Node.js, NestJS, and TypeScript, alongside designing, writing, testing, and deploying Solidity Smart Contracts on Ethereal/EVM networks. They must also contribute to CI/CD pipelines while adhering to performance, security, and industry best practices.
The engineer will be responsible for designing, building, and maintaining agentic workflows that automate various business processes across departments like Marketing, Finance, and QA using AI tools. This involves creating systems that ingest data, make decisions, and take actions across integrated platforms using LLMs for validation and analysis.
The role involves leading backend development efforts with end-to-end ownership, designing, building, and maintaining scalable microservices and internal APIs to power platform growth. Responsibilities also include shaping engineering standards, collaborating cross-functionally, and ensuring backend services are reliable, secure, and optimized for high traffic.
The role involves developing and enhancing scalable web applications using Node.js and Vue.js, focusing on critical business operations like inventory management and order processing. Responsibilities also include managing and exposing various APIs for internal and external use while ensuring application performance and security on AWS.
The role involves leading the design and development of web and mobile applications, focusing primarily on backend development using Python frameworks like Django or FastAPI to build robust APIs. Responsibilities also include cross-functional collaboration, performance optimization, code reviews, and mentoring junior developers.
The role involves developing and enhancing features for a scalable, microservices-based AI platform, focusing on implementation to meet strict delivery timelines. Responsibilities also include improving system reliability, resiliency, and scalability while monitoring the distributed system using observability tools.
The Staff Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources. This role involves owning the data storage and processing architecture, operationalizing AI/ML workflows, and integrating outputs with backend services and analytics dashboards.
The Staff Data Engineer will be responsible for architecting and scaling systems that power AI-driven valuation tools, market analytics, and collector insights. This includes leading the development of data ingestion pipelines, enrichment workflows, and metadata infrastructure for various data sources.
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The Staff Data Engineer will be responsible for architecting and scaling systems to power AI-driven valuation tools and market analytics, leading the development of data ingestion pipelines, enrichment workflows, and metadata infrastructure.
The Staff Data Engineer will be responsible for designing and operating scalable data ingestion and web scraping systems, building batch and real-time pipelines to process diverse data sources. They will also own the architecture of the data storage and processing stack, integrating AI/ML workflows and ensuring clean datasets feed various services.
Quality Assurance Engineer -- Junior Product Manager | AI / Trucking
Spotter
·
Full Time
·
15 Weeks Ago
Spotter
Responsibilities include developing and executing comprehensive test plans based on trucking industry knowledge, focusing on real-world scenarios for web and mobile applications. The role also requires identifying and documenting defects, collaborating with developers, and continuously improving testing processes.
The role involves analyzing, architecting, and building scalable solutions for a high-growth e-commerce platform, driving the integration of business systems and cloud infrastructure within an Agile team. Responsibilities include developing applications using Node.js and Vue.js, managing APIs, handling core business functions like inventory and order processing, and optimizing applications for speed and security.
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