5 publicaciones de empleo destacadas de machine learning en parque patricios, b (¡Están contratando!)

AI Engineer
Modus Digital —Capital Federal, Buenos Aires
- Tiempo completo
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Machine Learning Engineer
Mercado Libre —Capital Federal, Buenos Aires
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Software Engineer II - Python
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
1h
Customer Engineer, Practice, Application Modernization, Google Cloud (Spanish, English)
Google —Buenos Aires, Buenos Aires
- Tiempo completo
3d
Sr Data Scientist
Despegar —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
3h

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AI Engineer

Modus Digital
Capital Federal, Buenos Aires

Postulación rápida

Detalles del empleo

Tiempo completo | Por contrato

Descripción completa del empleo

You are a hands-on AI Engineer who builds and ships intelligent, user-centric solutions. With expertise in LLMs, data pipelines, and modern engineering practices, you design and deploy scalable AI-powered applications. You work across the full AI stack; from data and prompt design to model tuning, RAG, and agentic workflows. You care deeply about AI-driven UX, creating intuitive, reliable experiences while managing context, latency, and evaluation.

At Modus Digital, you’ll collaborate with a global team to deliver cutting-edge solutions; including conversational AI, automation, and agent-based systems that drive real impact.

Modus Digital is an independent company of Advisors & Creators for the world’s leading brands. We define strategies that drive businesses forward and create experiences that people love. We believe digital experiences are human experiences, technology is transformative, and real innovation yields real results. We’re headquartered in New York City with offices throughout the United States, Latin America, Europe, and the Asia Pacific region.

Our AI Engineer is an integral part of our Engineering team, working across a wide range of clients and projects. An AI Engineer at Modus typically reports to a Director, AI & Engineering and above.

Responsibilities

Build AI-powered solutions for client projects, from discovery through production
Integrate AI models (OpenAI, open-source LLMs, etc.) into production systems and APIs
Develop and optimize prompts, retrieval systems (RAG), and agent-based workflows
Implement guardrails, observability, and monitoring for AI systems
Optimize performance, latency, and cost of AI applications
Rapidly prototype solutions to validate ideas and demonstrate value to clients
Document approaches, experiments, and system architecture clearly
Work cooperatively with Modus project and account managers, designers, engineers, and other team members, as required
Report progress/updates and/or communicate with other team members, project leads, and our clients, as required

Other duties related to the position that may arise from time to time and as may be assigned

Qualifications

5+ years of experience in software engineering, machine learning, or related fields
Strong programming skills in Java script and TypeScript for integration
Hands-on experience with LLMs and modern AI tools and frameworks (e.g., OpenAI APIs, LangChain, vector databases)
Understanding of RAG architectures, embeddings, and semantic search
Experience integrating AI into full-stack applications (APIs, frontends, backend services)
Familiarity with cloud platforms (AWS preferred)
Strong (English) communication skills with the ability to explain AI concepts to non-technical stakeholders and clients
You’re located in Buenos Aires and are willing to work from our office at least 2 times a month (hybrid schedule)

Nice to Have

Familiarity with LLM observability tools like Langfuse.
Experience with evaluation frameworks and prompt testing methodologies
Experience building AI agents or automation workflows
Understanding of data pipelines for AI native formats

Benefits

For a complete list of employee benefits, refer to your local Employee or Contractor Handbook, as appropriate

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AI Engineer

Machine Learning Engineer

Software Engineer II - Python

Customer Engineer, Practice, Application Modernization, Google Cloud (Spanish, English)

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