Software Engineer

Argentina; Uruguay

Software Engineer - Robotics & Autonomous Systems

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

You Will:

• Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Build ML training and fine-tuning pipelines using Scale's robotics data
• Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
• Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors
• Collaborate with ML engineers and researchers to bring robotics research into production
• Deliver features at high velocity while maintaining system reliability and performance

Ideally, You Have:

• At least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems.
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to Haves:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We're looking for a AI Engineer to join AI & Data Team. The Senior AI Engineer will lead the design, development, and deployment of cutting-edge AI solutions particularly those involving Large Language Models (LLMs), intelligent agents, and AI systems that integrate seamlessly into production-grade software. This person will work independently with minimal supervision while collaborating across teams to deliver intelligent, scalable, and reliable applications.

They will be responsible not only for crafting models and prototypes, but also for embedding these into robust applications, building APIs, writing clean code, and ensuring the operational success of AI-powered features in real-world environments.

The main objective of this role is to bridge AI innovation and software engineering excellence deploying LLMs, agents, and smart systems into full-stack products and production infrastructure.

What are the main responsibilities of this role? 

• Design and implement LLM-based solutions (e.g., RAG systems, multi-agent tools, copilots).
• Fine-tune, evaluate, and deploy open-source and proprietary foundation models.
• Build end-to-end AI-powered features in collaboration with product and engineering teams.
• Create scalable APIs and services to expose AI functionality to frontend/mobile clients.
• Own the lifecycle of AI features from experimentation to deployment and monitoring.
• Collaborate with DevOps to implement CI/CD pipelines and infrastructure-as-code for AI services.
• Implement observability, error tracking, and performance monitoring on deployed AI features.
• Evaluate and experiment with diverse AI frameworks and libraries (LangChain, Transformers, OpenAI SDKs, etc.).
• Lead technical discussions and mentor peers in AI best practices and architecture.
• Identify AI-driven product opportunities by working closely with clients or internal teams.

Which skills and experience do we envision for this role?

• +4 years of experience in AI/ML-focused roles with shipped software products.
• Hands-on experience with LLMs (OpenAI, Claude, Mistral, open-source models) and agent frameworks (LangChain, AutoGPT, etc.).
• Proficiency in prompt engineering, vector databases (Pinecone, Weaviate, etc.), and embedding strategies.
• Experience with testing AI systems using tools such as Promptfoo, Giskard, etc
• Solid Python skills, with experience building APIs using FastAPI, Django, or similar.
• Production experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Terraform, Kubernetes.
• Good software development practices: testing, code reviews, version control (Git), and modular design.
• Experience deploying and monitoring AI systems in production.
• Familiarity with MLOps and model deployment workflows is a plus.

Join our team and enjoy:

• Access to Rootstrap University,Conferences/Certifications, and a Mentorship Program for your professional growth.
• Learning Bonus 
• Opportunities to organize cross-functional initiatives and receive 360 Feedback to improve your skills continuously.
• The flexibility to work remotely or from our offices in Montevideo, Buenos Aires, and Medellín, with a flexible time schedule and Workation program.
• Gym benefits, psychological counseling, and weekly lunch reimbursements with special foods in the offices.
• An Onboarding kit and access to cutting-edge technologies and tools to make your work easier.
• Referrals program bonuses, After offices, Prizes, and special occasions gifts to celebrate your achievements.
• People Care referent to support your well-being and personal development.

We value your well-being and happiness. We grow together!

How we work:

• We offer a flexible and diverse work environment that fosters multicultural talent
• We value autonomy and creativity, We want people to bring ideas to the table and to think as leaders.
• We put our focus on real human connections
• We have a commitment to excellence

At Rootstrap, we help companies launch, grow, and scale their digital products and services. With over 290 global team members, we’ve built solutions for industry leaders like MasterClass, Universal, and Google, as well as for innovative startups and inspired pioneers. Our team takes pride in making an impact that goes beyond the code, earning regular recognition as a Fastest Growing Company and Best B2B Service Provider.

We embrace an AI-first mindset, continuously exploring how artificial intelligence can enhance the way we build products, solve problems, and deliver value. Across all stages of the development process, we encourage our teams to actively leverage AI to boost productivity and drive innovation.

With offices in Uruguay, Argentina, and Colombia, we offer the flexibility to work remotely. Discover more about life at Rootstrap at https://www.rootstrap.com/careers.

All of our candidate searches are covered under Uruguayan Law 19691 (the purpose of this law is to promote the inclusion of people with disabilities).

As part of our Security and Compliance process, all seniority levels and roles must follow the company’s information security policies and secure development practices, and promptly report any suspected security incidents or vulnerabilities.

• At the forefront of improvement, proactive around what is needed at a technical and at a team level  
• work with autonomy on develop, code, test, build, deploy and debug new software or enhancements to existing software. 
• May be involved at the architectural level 
• Mentor and up skill less experienced development staff on code and code reviewing 
• Sharpening skills on technical software developments.
• Continue to be abreast of relevant industry knowledge and trends
• Have extensive interactive platforms system knowledge
• Possessing a thorough understanding of databases, application services and application lifecycle development.
• Demonstrates subject matter expertise.
• High scalability involving cloud-based infrastructure design and implementation
• Good understanding of Web Services protocols such as REST, GraphQL and API design for extensibility and portability
• Experience debugging distributed systems with high data loads
• Good understanding of distributed data model
• Understanding of the Software as a Service (SaaS) model in the online environment
• Design, develop and implement unit and scenario testing for existing code base and for new functionality under development
• Experience as an applications programmer on large-scale data base management systems
• Is able to identify risk and propose solutions to complex, bigger and more impact situations and solutions

• +2 years of professional programming experience.
• Great knowledge of JavaScript (Full stack mindset)
• Great communication skills both in Spanish and English
• Knowledge of Node.js + react js
• Generous with knowledge 
• Problem Solving and analytical thinking
• Be driven and motivated to succeed. Be proactive by nature
• Proven experience working in scrum teams

• • AWS
  • Mysql
  • Elastic Search
  • Redis

Benefits and Perks: 

• Competitive Compensation 
• Medical insurance
• Professional Development Programs
• Employee Recognition Program
• Paid Parental Leave
• Type of work: Hybrid
• Virtual Social Events including: Team Wins and Highlights from the Month, Cultural and Diversity Spotlights, and Happy Hours

About EverPass: 

Benefits and Perks: 

• Competitive Compensation 
• Medical insurance
• Professional Development Programs
• Recognition Program
• Paid Parental Leave
• Type of work: Hybrid

About EverPass: 

• At the forefront of improvement, proactive around what is needed at a technical and at a team level  
• work with autonomy on develop, code, test, build, deploy and debug new software or enhancements to existing software. 
• May be involved at the architectural level 
• Mentor and up skill less experienced development staff on code and code reviewing 
• Sharpening skills on technical software developments.
• Continue to be abreast of relevant industry knowledge and trends
• Have extensive interactive platforms system knowledge
• Possessing a thorough understanding of databases, application services and application lifecycle development.
• Demonstrates subject matter expertise.
• High scalability involving cloud-based infrastructure design and implementation
• Good understanding of Web Services protocols such as REST, GraphQL and API design for extensibility and portability
• Experience debugging distributed systems with high data loads
• Good understanding of distributed data model
• Understanding of the Software as a Service (SaaS) model in the online environment
• Design, develop and implement unit and scenario testing for existing code base and for new functionality under development
• Experience as an applications programmer on large-scale data base management systems
• Is able to identify risk and propose solutions to complex, bigger and more impact situations and solutions

• +4 years of professional programming experience.
• Great knowledge of JavaScript (Full stack mindset)
• Great communication skills both in Spanish and English
• Knowledge of Node.js + react js
• Generous with knowledge 
• Problem Solving and analytical thinking
• Be driven and motivated to succeed. Be proactive by nature
• Improve coding skills, and stay up to day with technical topics related to our platform, involved and updated in how we do things at EverPass
• Own code reviews, and guard the quality of our codebase 
• Have a full understanding of the EverPass platform and its components, and our quality standards
• Have an understanding, and collaborate with the tools we use to monitor our systems, and be able to troubleshoot and fix technical issues. 
• Ensure the quality of their team's deliverables, by taking ownership of the development process, overseeing code reviews, assisting with quality, and making sure release processes are followed

• • Mysql
  • Elastic Search
  • Redis

Benefits and Perks: 

• Competitive Compensation 
• Medical insurance
• Professional Development Programs
• Recognition Program
• Paid Parental Leave
• Type of work: Hybrid
• Virtual Social Events including: Team Wins and Highlights from the Month, Cultural and Diversity Spotlights, and Happy Hours

About EverPass: