Data & AI Engineer (Senior) - SerdatIA

Description

DESCRIPTION At SerdatIA, we are looking for a Senior Data \& AI Engineer to join our Data \& AI team. This Pull Request represents the onboarding of a new collaborator who will help us design, build, and evolve scalable data platforms and intelligent solutions. If you enjoy solving complex problems, working with modern technologies, and transforming data into real business value, this PR may be for you. Pull Request Description Why are we opening this PR? Our team continues to grow, and we are seeking an engineer capable of contributing to real-world Big Data and Artificial Intelligence projects. You will work alongside engineers, architects, and data specialists to build solutions based on cloud architectures, Big Data processing, and Generative AI. Included Changes Data Engineering Building data pipelines from extraction and ingestion through processing and availability Developing ETL / ELT processes Integrating data from multiple structured, semi-structured, and unstructured sources Proven experience in Batch and Streaming or Near Real-Time (NRT) processing Big Data processing with real-world projects handling large data volumes Optimizing processes and Spark jobs Fundamental principles of Lakehouse architectures Modeling and transforming data for various business use cases Hands-on application of best practices for data quality, governance, and traceability Monitoring and resolving incidents of various natures Cloud Engineering Developing cloud solutions with proven production experience Designing architectures using cloud services from any major cloud provider (Azure, AWS, GCP) Automating production deployment processes using DevOps and CI/CD tools Some experience in FinOps tasks for performance and cost optimization Configuring and optimizing storage, processing, and compute services Monitoring and troubleshooting Certifications at Engineer level or higher in Azure, AWS, and/or GCP are highly valued. Artificial Intelligence Designing and implementing solutions based on LLMs Developing business-oriented Generative AI applications Building RAG architectures Integrating language models with enterprise knowledge sources Working with vector databases Integrating AI APIs and Cloud AI services Designing efficient prompts Implementing solutions using frameworks such as LangChain, LangGraph, Pipecat, etc. Participating in industrializing and deploying AI solutions in production environments Applying best practices for AI security, governance, and responsible usage What can we offer you? Full-time position Indefinite contract Professional career development, based on your demonstrated capabilities 100% remote position Additionally, if you join Grupo Seresco’s team, you’ll enjoy benefits such as: 22 working days of vacation plus 2 flexible days and either Christmas Eve or New Year’s Eve. Flexible working hours; we enjoy three months of continuous morning shifts. Exclusive discounts across numerous services and products (travel, automotive, fashion, leisure, sports, culture, home, technology, gastronomy) via the Corporate Benefits platform. At SERESCO, you can configure how you want to allocate your gross salary (Serflex program), using part of it flexibly. You may choose among the following: Medical Insurance (Sanitas, IMQ or Caser), including family members; Gourmet Voucher/Card; Transport Card; and Daycare Voucher. We also offer a very attractive incentive plan if you help us find professionals like yourself. Since we assist in identifying/inventing new projects, there is also a business acquisition reward program. Study support fund for formal education. In-person and online training, so you can stay up-to-date at your own pace. REQUIREMENTS What are we looking for? * University degree in Computer Engineering, Telecommunications, Mathematics, Physics, or equivalent proven technical experience. * Solid experience (+4–5 years) in software development, system architecture, and designing scalable solutions (Python, Java, Scala or similar). * Demonstrable experience in designing and industrializing Generative AI applications in production (LLMs, advanced RAG, Function Calling, vector databases). * Experience working with AI orchestrators (LangChain, LlamaIndex, LangGraph) and evaluation frameworks (RAGAS, DeepEval). * Strong knowledge of cloud architecture (Azure, AWS or GCP), containers (Docker, Kubernetes), and CI/CD pipelines with IaC (Terraform). * Experience with data platforms and distributed/event-driven systems (SQL, Kafka, Spark or similar). * Engineering best practices: TDD, Clean Architecture, observability (OpenTelemetry, Prometheus), and AI security patterns. * Technical leadership ability, mentoring other developers, and excellent communication skills. Preferred Qualifications: * Experience implementing autonomous and multi-agent systems (CrewAI, AutoGen) and adopting the Model Context Protocol (MCP). * Experience in MLOps (MLflow, DVC, TorchServe, Triton Inference Server, KServe) and inference optimization techniques (quantization, LoRA/QLoRA). * Advanced certifications as Architect / Data Engineer / AI Engineer from Azure, AWS or GCP. * Knowledge and application of AI regulatory frameworks (EU AI Act, GDPR). * Contributions to open-source projects, technical presentations, or articles on AI and data architectures.