Agentic Software Engineer

🚀 Join our team as an Agentic Software Engineer – Data & AI Platforms!

At Acsys, we are looking for Agentic Software Engineers based in Argentina to join a global project with a leading multinational company 🌍. This role is ideal for engineers who are genuinely excited about working agent-first: directing AI coding agents, reviewing their output critically, and owning the result in production. We are hiring at several levels, from associate to senior.

This is not a prompt-writing position, nor a traditional feature-factory role: you will spend more time specifying precisely, reviewing rigorously, and testing than writing code by hand.

🛠️ What are we looking for?

• Agentic Engineering: Practical experience directing AI coding agents such as GitHub Copilot or Factory.ai to produce production code, and reviewing their output for correctness, performance, security, and maintainability.
• Clear Specifications: Ability to write precise, testable specifications that both agents and engineers can build from without guessing.
• Software & Data Engineering: Strong coding skills in Python, Java, C#, Scala, or TypeScript, plus confident SQL, with code you have shipped and supported in production.
• Data Pipelines: Experience with Spark, PySpark, dbt, Azure Data Factory, or Databricks workflows, and a sound grasp of data modeling and API design.
• Backend Services: Experience building and operating server-side services and REST APIs at enterprise scale. Production-level Java and Spring Boot are required for backend positions.
• Microsoft Azure: Working experience building and running services on Azure, including storage, identity and access management, secrets handling, and basic networking.
• GitHub & CI/CD: Strong experience with GitHub Actions, pull request workflows, branching strategies, automated testing, and CI/CD.
• Ownership & Flow: Comfortable owning your slice end to end in small pods, working in small increments under a Kanban model, and supporting what you ship in production.

⭐ Nice to Have

• Microsoft Fabric, Snowflake, or MongoDB Atlas alongside Databricks
• Streaming and event-driven data with Kafka or Azure Event Hubs
• LLM or RAG applications, including retrieval quality evaluation
• Docker and Kubernetes
• Infrastructure as Code with Terraform or Bicep
• Experience in global, distributed engineering teams

🎁 Benefits

• 100% remote work
• Competitive salary in USD
• Connectivity allowance
• English classes
• Discounted Medicus health plan
• Birthday day off
• 15 days of vacation
• Meal card
• Discounts at universities (UCES and UTN) and Udemy (client)
• Training opportunities and more!

If you're passionate about AI-assisted engineering, data platforms, and backend services, and would like to be part of a collaborative team working on global-scale environments, we'd love to receive your CV in English! 🚀