Remote AI Engineer Jobs in Argentina (57)

Senior Deployed AI Engineer (Gemini) (PCS920)

Senior Applied AI Engineer

Design and develop LLM-powered systems while diagnosing and improving AI performance through rigorous experimentation and evaluation. Provide technical leadership by mentoring engineers and defining architectural standards for production-ready AI applications.

AI Engineer - Voice & Agentic Systems 12 applicants

You will design, build, and maintain end-to-end voice agents using LLM orchestration, FastAPI services, and real-time telephony pipelines. You are responsible for the entire agent lifecycle, from initial prompting to managing high-concurrency production calls.

Mid-Level AI Engineer

Design, build, and deploy production-grade ML and LLM-based systems for enterprise clients. Lead technical delivery end-to-end while mentoring junior team members and shaping internal technical standards.

Sr Data and AI Engineer 18 applicants

You will collaborate with architects and clients to design and implement scalable data platforms, pipelines, and enterprise-level ML/GenAI solutions. Additionally, you will mentor junior engineers and maintain repeatable data products while ensuring best practices in automation and CI/CD.

Mid AI Engineer

Design, build, and deploy production-grade ML and LLM-based systems for enterprise clients. Own the end-to-end technical delivery while mentoring junior engineers and shaping internal technical standards.

Senior Agentic AI Engineer

Design, develop, and deploy autonomous AI agents and multi-agent systems to drive intelligent decision-making and workflow automation. Collaborate with cross-functional teams to architect scalable agentic platforms and implement robust monitoring and safety guardrails.

11090 - AI Engineer Pleno | AI Automation - Sênior

Develop AI agents and automation workflows using LLMs, LangChain, and LangGraph. Implement RAG pipelines and integrate AI solutions with internal systems, APIs, and databases.

AI Engineer / AI Automation Specialist

Machine Learning / AI Engineer Lead - Databricks - Eng

The lead will serve as a primary technical consultant to execute end-to-end AI/ML projects while designing and maintaining production-grade pipelines. They will also manage infrastructure and contribute to the strategic growth of the AI practice.

Machine Learning / AI Engineer Senior - Databricks - Eng

The role involves serving as a technical consultant to lead end-to-end AI/ML project implementations and translating business problems into technical solutions. You will also design, build, and maintain production-grade AI/ML pipelines while managing infrastructure and contributing to the strategic growth of the AI practice.

Generative AI Engineer

You will bridge the gap between functional design and technical implementation by creating low-level designs and prototype code for agentic AI systems. This involves running independent proofs of concept, proving integration patterns, and documenting solutions for a distributed development team.

Senior AI Engineer - ( MCP & LLM Integration)

The role involves leading the development of enterprise Model Context Protocol (MCP) integrations and establishing governed multi-model access. You will be responsible for building reference servers, connecting agentic workflows, and implementing model evaluation and observability frameworks.

AI ENGINEER

The AI Engineer will design, build, and optimize machine learning models and AI solutions to support enterprise automation and intelligent decision-making. They will also collaborate with cloud and engineering teams to deploy models and manage data pipelines.

Senior AI Engineer

Design and maintain production-grade agentic systems, including multi-agent orchestration and RAG pipelines grounded in company data. Implement AI infrastructure on AWS while ensuring compliance, safety, and high-quality output through rigorous evaluation frameworks.

Lead AI Engineer

Lead end-to-end AI project delivery while mentoring a high-performing engineering team to establish technical standards. Design and deploy robust RAG systems, agentic frameworks, and LLM-powered solutions while managing MLOps infrastructure.

AI Engineer 12 applicants

You will build tools to evaluate agent behavior, analyze traces, and implement features for automatic self-improvement. Additionally, you will run experiments on Mastra primitives to optimize configuration and performance.

Generative AI Engineer 13 applicants

The role involves developing scalable backend services and integrating Generative AI models, including RAG architectures, into production environments. You will be responsible for writing clean, efficient code, optimizing server performance, and collaborating on technical documentation and code reviews.

AI Engineer

Design, build, and implement AI-powered solutions including Generative AI, LLMs, and intelligent automation to solve business challenges. Collaborate with cross-functional teams to integrate AI capabilities into existing platforms and ensure production-ready scalability.

AI Engineer

Design, develop, and deploy multi-agent AI systems and RAG pipelines for reasoning and task execution. Collaborate with engineering teams to integrate data sources and implement observability frameworks for model performance monitoring.

Agentic AI Engineer

You will own the end-to-end architecture of AI trading agents, including orchestration, model routing, and the evaluation layer for strategy quality. You will also build data foundations and ensure system observability to maintain high-performance, statistically sound trading strategies.

Senior Generative AI Engineer

Design and develop scalable backend services and production-ready Generative AI solutions using LLMs. Collaborate with cross-functional teams to optimize AI workflows and contribute to software architecture and engineering best practices.

AI Engineer 20 applicants

The AI Engineer will design, develop, and maintain production-grade AI services and APIs using Python and modern orchestration frameworks. They will also build and optimize end-to-end RAG solutions while ensuring system quality through observability, evaluation, and performance monitoring.

Lead AI Engineer (LLM & Agents)

You will build and own the backend and Agent workflows for LLM-powered products, including multi-turn conversation systems and RAG. Additionally, you will drive continuous evaluation, ensure production reliability, and shape technical product decisions.

Senior Deployed AI Engineer (Gemini) (PCS848)

Sr AI Engineer

Design, build, and deploy advanced AI solutions using LLMs, RAG, and agentic architectures to automate workflows and transform unstructured data. Collaborate with cross-functional teams to deliver high-impact, production-ready AI applications across cloud platforms.

Could AI Engineer

The role involves partnering with Legal and Compliance teams to design and implement AI-driven solutions that enhance operational efficiency and scalability. You will be responsible for developing benchmark frameworks and deploying advanced AI systems, including LLMs and agentic workflows, to support compliance policy reviews and legal operations.

Full Stack AI Engineer Python

Design, develop, and maintain scalable full-stack web applications using ReactJS and Python/FastAPI. Integrate AI technologies such as LLMs, RAG pipelines, and AI agents into robust backend services.

Full Stack AI Engineer

AI Engineer - Generative AI & AWS