Agentic Software Engineer

Acsys; Argentina; Sur place; ARS 181 906 000 - 272 860 000; Plein temps

Avantages offerts par ce poste

Connectivity allowance

Discounted Medicus health plan

Birthday day off

15 days of vacation

Discounts at universities (UCES and UT

N) and Udemy (client)

Training opportunities and more!

Résumé du poste

Acsys invites an Agentic Software Engineer – Data & AI Platforms in Argentina to join a global project. You will guide AI coding agents, review outputs for correctness, and own production results.

The role emphasizes specifying exact, testable requirements and spending more time validating than hand-coding. You will work across Python/Java/TypeScript, Spark/Databricks, and Azure services, building and operating enterprise-scale backend services and REST APIs, with a focus on robust testing,

Qualifications

• Agentic engineering and production-grade output review.
• Ability to write precise, testable specs for agents and engineers.
• Strong coding skills in multiple languages and production experience.
• Experience with data pipelines and cloud-based services.
• Experience building enterprise-grade backend services and REST APIs.
• Azure experience including IAM, storage, secrets, networking.
• Experience with GitHub Actions and CI/CD tooling.
• Willingness to work in small teams with incremental delivery.

Connaissances

Agentic Engineering

Clear Specifications

Python

Java

TypeScript

SQL

Azure

REST APIs

GitHub Actions

CI/CD

Data Modeling

Outils

GitHub

Docker

Kubernetes

Terraform

Azure DevOps

Databricks

Description du poste

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