AI Engineering Jobs in Argentina
There are 56 open AI Engineering jobs in Argentina on freehire right now. 9 of them were posted recently. The skills employers ask for most often are ai, api and llm.
Most requested skills
- ai 79%
- api 66%
- llm 66%
- agentic-ai 61%
- python 55%
- cloud 45%
- rag 43%
- aws 36%
How the work is done
- Remote 36 · 64%
- Hybrid 10 · 18%
Visa sponsorship offered in 40% of the 5 postings that state a position on it.
Seniority
- Senior 26
- Lead 2
- Principal 2
- Junior 1
Who is hiring
- 1000+ employees 4
- 51-200 employees 4
- 501-1000 employees 3
- 11-50 employees 2
Backend AI Engineer
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
AI Software Engineer MTS
Builds and operates AI-powered developer tools and platforms (e.g., DevBar, AI telemetry, code attribution) at Salesforce, focusing on full-stack features, backend services, and integrations to enhance developer productivity with AI.
AI / Agent Engineer
Builds and optimizes AI agent infrastructure (MCP servers, graph-RAG pipelines) to enable multi-LLM document processing, retrieval, and fact-grounded responses. Works cross-functionally with product, data, and QA to improve answer quality and system scalability.
Senior Enterprise AI Engineer (AWS Bedrock)
Designs and builds enterprise-grade AI solutions using AWS Bedrock, integrating systems like ServiceNow and SAP with RAG pipelines and React frontends.
Senior Applied AI Engineer
The Senior Applied AI Engineer will design and deploy production-grade AI solutions, including agents, copilots, and RAG architectures, for a banking client. The role focuses on software engineering best practices, system scalability, and integrating LLMs into enterprise environments.
AI Engineer Python/Langchain Sr.
MODALIDAD Y UBICACIÓN: Híbrido (4 días remoto + 1 presencial) o 100% remoto fuera de AMBA Ubicación: Capital Federal (CABA), Argentina. Horario: Lunes a Viernes de 9:00 a 18:00 hs. Excepción: Se habilita modalidad 100%…
Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Embedded engineer bridging AI products and customer environments, building bespoke agentic solutions on Google Cloud using Python, Vertex AI, and ML frameworks to solve production challenges.
AI Engineer, Generative AI
Build and deploy generative AI solutions and AI agents using Python, LLMs, and AWS for a U.S. insurance client, integrating APIs and cloud services.
Senior AI Engineer - Growth
Build AI agent workflows for growth automation, integrating media, messaging, and analytics systems to optimize campaigns and content generation.
Senior AI Engineer
Build agentic AI systems using frontier LLMs, document AI pipelines, and RAG for legal/contract analysis, while collaborating with stakeholders to deliver production-grade solutions.
Senior Agentic AI Software Engineer ID81654
Design and build AI agents, workflows, and integrations; evaluate model performance and enforce governance policies.
Senior Agentic AI Software Engineer ID81654
Design and implement AI agents and multi-agent workflows, integrate LLM APIs, and build regression tests and benchmarks for agentic features.
Senior Agentic AI Software Engineer ID81654
Design and build AI agents, multi-agent workflows, and backend services to integrate model APIs into user interfaces and modernize workflows.
Senior Agentic AI Software Engineer ID81654
Design and implement agentic AI workflows, integrations, and evaluations, ensuring model governance and secure deployment while modernizing B2B processes.
Senior Agentic AI Software Engineer ID81654
Design and build AI agents, workflows, and evaluation frameworks, integrating model APIs and governance policies into B2B systems.
AI Engineer
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, RAG, and cloud tools.
Python Developer / Devops / AI Engineer
Build and deploy generative-AI backends in Python, designing RAG pipelines, AI agents, and scalable cloud infrastructure on GCP while owning CI/CD, Docker/Kubernetes, and IaC.