Full Stack Engineer

European Tech Recruit
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

Artificial Intelligence
Airflow
Google BigQuery
Information Engineering
Data Warehousing
Python
Software Reliability Testing
TensorFlow
PyTorch
Large Language Models
Snowflake
Spark
Data Lake
Scikit Learn
HuggingFace
Kafka
Machine Learning Operations
Data Pipelines
Redshift

Job description

A forward thinking Swiss tech company are seeking to bolster their team with an experienced full stack developer. Please note this is a fully remote opportunity based from Spain with occasional travel. Full rights to work must already be in place before applying. Responsibilities: Own AI solutions end to end, taking them from concept and architecture through production deployment and ongoing improvement. Design and implement production-grade AI systems, selecting appropriate tools and technologies to ensure reliability and real-world performance. Build and maintain scalable data and ML pipelines, including analytics infrastructure, feature stores, orchestration, deployment, and monitoring. Develop, train, evaluate, and deploy advanced models (including LLM-based systems), and implement retrieval techniques such as RAG and graph-based approaches. Collaborate cross-functionally to define data tracking, analytics foundations, and AI strategy, and optimize models for edge or on-device use

Requirements

when needed. Requirements: Proven experience delivering complete AI solutions end to end, with accountability for deployment, monitoring, and iteration. Strong Python skills and hands-on expertise with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, and Hugging Face. Solid background in MLOps and data engineering, including tools like MLflow or ZenML, dbt, and cloud data warehouses or data lakes. Experience building and orchestrating data pipelines with Airflow and modern data stacks (e.g., Kafka, Spark, BigQuery, Redshift, Snowflake). A practical, builder-oriented mindset with strong problem-solving skills, including model evaluation, reliability testing, and experience with RAG, graph retrieval, and prompt design. If this role is of interest please apply directly on LinkedIn or send a copy of your CV to [email protected]. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our

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