16 publicaciones de empleo destacadas de devops engineer en buenos aires (¡Están contratando!)

Senior GenAI Developer
BI AH Argentina S.A. —Buenos Aires, Buenos Aires
- Tiempo completo
Director of Engineering
Intuition Machines, Inc. —Buenos Aires, Buenos Aires
- Por contrato
Postulación rápida
Salesforce Technical Lead
Launchpad Technologies —Buenos Aires, Buenos Aires
Postulación rápida
17h
Senior Full Stack Engineer (Python/React)
Forager —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Product Delivery Senior Manager
TELUS Digital —Buenos Aires, Buenos Aires
- Tiempo completo
Solution Architect FSS
Chevron —Buenos Aires, Buenos Aires
12d
Senior - Tech Operations Engineer
PwC —Buenos Aires, Buenos Aires
- Tiempo completo
AI Platform Engineer
Web: —Buenos Aires, Buenos Aires
- Tiempo completo
Senior Backend Developer
belo —Buenos Aires, Buenos Aires
Senior Security Consultant - Infosec - EY Global Delivery Services
EY —Capital Federal, Buenos Aires
OpenShift Technical Account Manager
Red Hat, Inc. —Buenos Aires, Buenos Aires
- Tiempo completo
NextGen AI Manager - Assistant Director - Argentina - EY Global Delivery Services
EY —Capital Federal, Buenos Aires
Data Governance Technology Strategist - Solution Architect
Chevron —Buenos Aires, Buenos Aires
- Tiempo completo
Lead Software Engineering - .NET
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
Principal Software Architect
Assurant —Buenos Aires, Buenos Aires
- Tiempo completo
Senior Salesforce Platform Architect
サイネオス・ヘルス —Buenos Aires, Buenos Aires
14d

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Director of Engineering
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Interprets and understands all of the key elements of the project schedule to identify adverse trends and take correction action.

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Senior GenAI Developer

BI AH Argentina S.A. -
Buenos Aires, Buenos Aires

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Detalles del empleo

Tiempo completo

Descripción completa del empleo

The Position

We are seeking an experienced AI / LLM Engineer to join our Data-Driven Customer Insights team and lead innovative Large Language Model and AIdriven capabilities. In this role, you will contribute to the OneCustomer product, an AI-driven initiative at Boehringer Ingelheim aimed at transforming how we engage with healthcare professionals and internal stakeholders. The DevOps team builds and operates scalable digital solutions that enable real-time sharing of customer insights, leveraging data and cutting-edge technologies to support strategic decision-making across Commercial, Medical, and Analytics functions.

As an AI/LLM Engineer, you will play a pivotal role in designing, configuring, developing, and operating AI components that power OneCustomer. You will lead LLM/Machine Learning related topics, ranging from prompt engineering to observability and compliance, and help shape how AI augments customer understanding across the organization. You will collaborate closely with Product Owners, Engineers and external partners to bring highimpact, productionready AI functionalities to life.

Tasks and responsibilities

Lead all LLM‑related activities, including prompt engineering, compliance‑rule prompts, user‑feedback integration, parameter tuning, data‑structure understanding, model/API version upgrades.
Collaborate with cross-functional teams to understand the requirements and objectives for each product release, and align AI capabilities with business goals.
Partner with Commercial, Medical, and Analytics stakeholders to translate business knowledge into effective system prompts and system behaviors, applying fewshot learning, updating domain ontologies, and continuously refining models and prompts based on stakeholder feedback. Manage vector databases and knowledge graphs supporting AI and RAG workflows.
Implement and operate observability systems, covering monitoring, logging, performance tracking, error detection, and dashboards for real‑time traceability and business/compliance visibility of AI components.
Manage LLM model configurations and deployments, overseeing endpoint setup, version control, integration consistency across environments, and infrastructure optimization for scale, load‑balancing, and high availability across environments.

Requirements

Required

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related field with a strong emphasis on AI and machine learning technologies.
Proven experience in DevOps environments building AI/ML solutions, including work with LLMs, RAG pipelines, or knowledge graphs.
Demonstrable experience in AI application development using no-code/low-code platforms or configuring off-the-shelf solutions together with external partners.
Deep understanding of LLM architecture (transformers, embeddings, RAG, multimodal models) and experience fine‑tuning LLMs (LoRA, QLoRA, custom datasets).
Proven knowledge of ontology management, schema design, and prompt debugging/validation.
Hands‑on MLOps deployment, model optimization techniques (quantization, compression, inference acceleration) and CI/CD experience.
Ability to follow and apply cutting-edge research in LLMs and model safety. Experience with observability systems, API operations, and scalable cloud architectures.
Ability to work collaboratively in cross-functional product teams and to communicate technical topics clearly to non‑technical stakeholders.
Strong analytical, problem‑solving, and cross‑functional collaboration skills.
Advanced English proficiency (spoken and written).

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devops engineer empleos en buenos aires

Senior GenAI Developer

Director of Engineering

Salesforce Technical Lead

Senior Full Stack Engineer (Python/React)

Product Delivery Senior Manager

Solution Architect FSS

Senior - Tech Operations Engineer

AI Platform Engineer

Senior Backend Developer

Senior Security Consultant - Infosec - EY Global Delivery Services

OpenShift Technical Account Manager

NextGen AI Manager - Assistant Director - Argentina - EY Global Delivery Services

Data Governance Technology Strategist - Solution Architect

Lead Software Engineering - .NET

Principal Software Architect

Senior Salesforce Platform Architect

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