About DarwoftDarwoft is a software factory delivering custom software solutions and IT staff augmentation services to international clients, primarily in the United States and Latin America.
We partner with startups and scale-up companies to build high-impact digital products, combining technical excellence with a people-first culture built on long-term relationships and collaborative work.Senior Fullstack Engineer (React/TypeScript/AI-Assisted Development) · LATAMLocation: Anywhere in LATAMWork Model: 100% RemoteEngagement: Full-time ContractorProject: FinTech • Customer Experience Operations PlatformEnglish Level: AdvancedSeniority: SeniorCommitment & FocusThis role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours.
It is not compatible with other full-time professional engagements.
Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities, availability, or working hours required for this role.Get to Know DarwoftAt Darwoft, we build digital products with heart.We're a Latin American technology company focused on creating impactful, human-centered software in partnership with companies around the world.
Our remote-first culture is built on trust, continuous learning, collaboration, and strong engineering standards.We're passionate about technology, but even more about the people behind it.
If you're looking for an environment where your ideas matter, experimentation is encouraged, and your impact is tangible, welcome to Darwoft.About the RoleWe're looking for a Senior Fullstack Engineer with a strong frontend focus to join a high-impact international FinTech project building an internal Customer Experience Operations Platform.The platform provides the tools customer experience agents and supervisors rely on every day to manage queues, assignments, conversations, agent availability, dashboards, metrics, and operational workflows.You'll primarily design and ship agent-facing experiences using React and TypeScript, working within a modern, modular frontend architecture while collaborating closely with the backend services and APIs that power the platform.A key aspect of this opportunity is the way the team approaches software development.We're looking for engineers with an agentic development mindset: people who actively use AI coding assistants, LLM agents, automation, and AI-assisted engineering workflows to prototype faster, solve problems, generate and validate code, improve testing, accelerate debugging,



and increase overall engineering productivity.This is not simply about using AI autocomplete.
We're looking for engineers who are comfortable incorporating tools such as Cursor, Claude Code, GitHub Copilot, coding agents, custom scripts, or AI-assisted specifications into their day-to-day development process while maintaining strong engineering judgment and ownership.You'll work closely with Product, CX stakeholders, designers, and backend engineers to turn operational requirements into reliable, intuitive, and scalable user experiences.What Yable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving general growth and opportunity.Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world.
If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards.
We've grown fast, stayed lean, and secured our place as a leader in the industry.If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.Are you ready to be part of the future?
About the jobAs a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems.
Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real‐world applications.
You will work on a wide spectrum of systems,



ranging from resource‐efficient models designed for limited hardware environments to complex, multi‐modal architectures that integrate data such as text, images, and audio.We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures.
You will adopt a hands‐on, research‐driven approach to develop, test, and implement novel serving strategies and inference algorithms.
Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments.
The ultimate goal is to enable high‐throughput, low‐latency, low‐memory footprint, and scalable AI performance that delivers tangible value in dynamic, real‐world scenarios.ResponsibilitiesDesign and deploy state‐of‐the‐art model serving architectures that deliver high throughput and low latency while optimizing memory usage.
Ensure these pipelines run efficiently across diverse environments, including resource‐constrained devices and edge platforms.
Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.Build, run, and monitor controlled inference tests in both simulated and live production environments.
Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource‐constrained devices.
Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.Identify and prepare high-quality test datasets and simulation scenarios tailored to real‐world deployment challenges, specifically those encountered on low‐resource devices.
Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics.
Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource‐constrained systems.Work closely with cross‐functional tent with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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