Job Description

We are looking for a Generative AI Engineer passionate about building next-generation solutions based on foundational models (LLMs), agent orchestration and scalable cloud architectures. You will be a key player in the design, development and deployment of intelligent products that transform the way we operate.

What are your responsibilities?

- Design, develop and deploy Generative AI solutions in productive environments.
- Build and orchestrate intelligent agents (multi-agent) capable of reasoning, planning and executing complex tasks autonomously.
- Work with foundational model platforms such as Azure AI Foundry, Amazon Bedrock, Google Vertex AI and similar.
- Implement RAG (Retrieval-Augmented Generation) architectures, embedding management and vector databases.
- Apply prompt engineering, fine-tuning and model evaluation techniques.
- Integrate LLM APIs (OpenAI, Anthropic Claude, Llama, Mistral, etc.) into business applications.
- Ensure security, governance and responsible use of AI (guardrails, data privacy, hallucination mitigation).
- Optimize costs, latency and performance of deployed solutions.
- Collaborate with multidisciplinary teams (product, data, engineering) in agile methodologies.

Essentials:
- Verifiable experience in developing solutions with Generative AI and LLMs.
- Knowledge of at least one foundational model platform: Azure AI Foundry, Amazon Bedrock, Google Vertex AI or equivalent.
- Experience with agent orchestration frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen or similar.
- Proficiency in Python and good software engineering practices.
- Experience with vector databases (Pinecone, Weaviate, Chroma, FAISS, pgvector, etc.).
- Knowledge of RAG architectures and LLM integration patterns.
- Management of cloud services (Azure, AWS or GCP).

Desirable:
- Experience with MLOps / LLMOps (CI/CD, monitoring, model versioning).
- Knowledge of containers (Docker, Kubernetes).
- Experience with fine-tuning techniques and model optimization.
- Familiarity with LLM evaluation frameworks and quality metrics.
- Knowledge of observability of AI applications (LangSmith, Langfuse, etc.).

We offer
- Participate in cutting-edge technological projects with real impact.
- Flexible and collaborative work environment.
- Opportunities for growth and continuous training.
- Competitive salary package commensurate with experience.",