AI Engineer

We are looking for technically strong, pragmatic engineers with a primary focus on AI, including hands-on experience with Generative AI and large language models (LLMs). Candidates should also bring solid software engineering practices and a good data background, enabling them to build, deploy, and operate AI-driven solutions in production. We value engineers who collaborate openly, adapt quickly, and focus on delivering practical, usable outcomes. Experience and requirements: Data & Analytics Engineering Strong SQL and experience working with large analytical datasets Familiarity with distributed data platforms (e.g., Spark, Trino, Databricks) Understanding of data modelling, joins, aggregations, and performance trade-offs MLOps & AI Platform Operations Experience operationalizing ML and LLM-based systems in production environments Familiarity with model lifecycle management (training, versioning, deployment, rollback) Understanding of monitoring and observability for ML systems (performance, drift, data quality) Experience with automation around pipelines, evaluations, and deployments Awareness of scalability, reliability, and cost considerations for AI workloads Evaluation, Reliability & Safety Understanding of AI evaluation approaches (offline tests, benchmarks, qualitative review) Familiarity with logging, monitoring, and debugging AI-driven systems Awareness of common AI risks (hallucinations, bias, drift) and mitigation strategies Software Engineering Practices Strong coding fundamentals and testing discipline Experience with CI/CD pipelines and production environments Comfortable working with evolving requirements and iterative delivery Your background: Demonstrated +5 years of experience in data engineering and AI/system development in a production environment Proven ability to ship iterative, user-focused solutions with attention to reliability and safety Strong communication skills and a collaborative mindset Experience in analytics or trading domains Experience with vector databases, retrieval-augmented generation (RAG), or LM-based tooling in production

Frequency: 3 times a week at the office Some of the benefits you’ll enjoy working with us: A highly competitive compensation package. Medical insurance. The chance to join an organization with triple digit growth that is changing the paradigm on how software products are built. The opportunity to form part of an amazing, multicultural community of tech experts. Come and join our #ParserCommunity. Follow us on Linkedin Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.