FastAPI Jobs in Chile.
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Junior Software Engineer, Python
About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
The Role
We are looking for a Python developer who is curious, practical, and eager to grow within a strong engineering team. You should be comfortable writing Python, interested in backend systems, and willing to work in a fast-paced environment where reliability, security, and performance matter. You don't need to have mastered every part of our stack already, but you should be excited to learn, ask good questions, and build production-quality systems with support from experienced engineers.
You will work with our Python team to build secure, robust, and high-performance microservices that support critical revenue operations — including billing, tax calculation, customer commitments, and AI-powered automation. Over time, you will grow into owning parts of these services, helping us solve complex problems as the company scales.
People rely on our products to communicate every day, so we care deeply about resiliency, reliability, and thoughtful engineering.
Responsibilities
- Design and build developer-friendly and agent-friendly APIs
- Build, test, and deploy applications that support global communications services
- Help identify and resolve issues related to latency, scalability, and performance
- Create tools and AI agents to automate revenue operations
- Investigate production issues by tracing through logs, data, and code to understand root causes
- Learn how to support services in production, including incident investigation and on-call responsibilities with guidance from the team
- Collaborate with more experienced engineers on design decisions, code reviews, testing, observability, and deployment
Who we’re looking for
- 1-2 years of professional software development experience with an object-oriented programming language
- Experience writing Python for web applications, APIs, or backend services.
- Familiarity with frameworks such as FastAPI, aiohttp, Flask, Django, or similar.
- Experience designing or consuming RESTful APIs.
- Some experience with asynchronous programming, or a willingness to learn it.
- Comfort working with PostgreSQL or another relational database.
- Familiarity with SQL queries, schema design, migrations, or query performance.
- Exposure to event-driven architectures or message brokers such as RabbitMQ, Kafka, or similar.
- An interest in highly available, uptime-critical production environments.
- Understanding of microservice architecture patterns, and curiosity about trade-offs and anti-patterns.
- Familiarity with some of the following: Docker, Kubernetes, Consul, GitHub Actions, Argo CD, Prometheus, or OpenTelemetry.
- Strong troubleshooting instincts. You are willing to dig through logs, query databases, read unfamiliar code, and ask questions to get to the bottom of an issue.
- Willingness to learn how to support services in production, including incident resolution and on-call processes.
- Comfort using AI coding agents as part of your investigation workflow, while knowing when to rely on your own judgement.
Bonus Points For
- Experience with billing, tax, or financial systems.
- Telecom domain knowledge.
- Experience with SQLAlchemy and Alembic.
- A thoughtful approach to decision making, knowing when to move quickly and when to optimize for the long term.
- Interest in fast-paced, product-driven environments.
- Curiosity about new technologies and patterns, and enjoyment in sharing what you learn.
- Familiarity with agent communication protocols such as MCP or A2A.
- Experience building AI agents or LLM-powered applications.
#LI-KG1 #LI-REMOTE
Ready to apply?
Apply to Telnyx
Contract: AI Operations Specialist
Why You'll Love This Role:
We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines. This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.
What You'll Be Doing:
- Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
- Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
- Automate infrastructure provisioning and service configuration with Terraform.
- Work to maintain and scale services that make use of third party LLM providers.
- Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
- Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
- Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.
About You:
- 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
- Strong proficiency in Python.
- Hands-on experience with Docker containerization and container orchestration.
- Solid understanding of CI/CD for ML workflows in an enterprise production environment.
- Experience with Infrastructure as Code, preferably Terraform.
- Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
- Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
- Experience building and maintaining data pipelines for ML training and feature engineering
- Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
- Experience monitoring and flagging model drift over time.
- Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
- Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
- Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
- Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
- Working knowledge of ML serving frameworks such as BentoML or similar.
- Comfort working with FastAPI or similar async Python web frameworks.
Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits
About Newsela:
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.
#LI-Remote
Ready to apply?
Apply to Newsela