Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q23jh

We areseeking an experiencedAI/ LLMEngineerto join ourData-Driven Customer Insights teamand leadinnovative Large Language Model andAIdrivencapabilities. In this role, you will contribute to theOneCustomerproduct, an AI-driven initiative atBoehringer Ingelheimaimed at transforming how we engage with healthcare professionals and internal stakeholders. TheDevOpsteambuildsandoperatesscalable digital solutions that enable real-time sharing of customer insights,leveragingdata andcutting-edgetechnologies to support strategic decision-making acrossCommercial,Medical, andAnalyticsfunctions.

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

- 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 totranslate business knowledge into effectivesystem prompts andsystem behaviors, applyingfewshotlearning, updating domain ontologies, and continuously refining models and prompts based on stakeholder feedback.Manage vector databasesand knowledge graphs supporting AI and RAG workflows.
- Implement andoperateobservability systems, covering monitoring, logging, performance tracking, error detection, and dashboards for real‑time traceability and business/compliance visibilityof 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 availabilityacross environments.
- Collaborate withMLOps, QA, Data Science, and Product teams to ensureproper configuration,robusttestingandcontinuous improvementof LLM-based features.Engineer compliance‑aligned prompts and system rules to reduce false positives and ensure market safety.Integrate user feedback loops to continuously refine prompts, models, personas, and ontologies.

Requirements

Required

- Bachelor’s orMaster’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related fieldwith a strong emphasis on AI and machine learning technologies.
- Proven experienceinDevOps environmentsbuildingAI/ML solutions, including work with LLMs, RAG pipelines, or knowledge graphs.
- DemonstrableexperienceinAI applicationdevelopmentusingno-code/low-codeplatformsor configuring off-the-shelf solutions together with external partners.
- Deep understanding ofLLM 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‑onMLOpsdeployment, model optimization techniques (quantization, compression, inference acceleration)and CI/CD experience.
- Ability to follow and applycutting-edgeresearch in LLMs and model safety.Experience with observability systems, API operations, and scalable cloud architectures.
- Ability toworkcollaboratively in cross-functional product teamsand 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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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q23jh

📌 Senior GenAI Developer (Buenos Aires)
🏢 Boehringer Ingelheim
📍 Buenos Aires