AI Engineer (Synthetic Data Pipelines) (Europe)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Engineer (Synthetic Data Pipelines) in Europe.This role offers the opportunity to work at the forefront of AI research and engineering, developing large-scale synthetic data pipelines that power advanced machine learning models. You will bridge the gap between experimental research and production-quality systems, collaborating closely with researchers and ML engineers to design reproducible, modular pipelines. The position requires strong technical skills, a scientific mindset, and the ability to optimize LLM performance through agentic workflows and context engineering. You will contribute to scalable AI systems, iterate rapidly, and maintain rigorous quality standards while navigating complex and ambiguous problems. This is a high-impact role in a remote-first environment, where your work directly shapes the next generation of AI training infrastructure.AccountabilitiesDesign, implement, and maintain synthetic data generation pipelines for multi-modal training tasksEvaluate pipeline output using statistical and proxy performance metrics to ensure reliability and effectivenessLead experiments involving large language models (LLMs), ensuring reproducibility, clarity, and rigorApply agentic design patterns and context engineering techniques to maximize model performanceUse modern AI tools such as Cursor, GitHub Copilot, and LLM agents to accelerate iteration, debugging, and documentationCollaborate closely with researchers and engineers across the stack to translate experimental insights into scalable production systemsRequirements3+ years of software engineering experience in at least one major programming language (Python or JavaScript preferred)Strong academic background with an MS or higher in Computer Science, Engineering, Mathematics, or a related scientific fieldDeep familiarity with Git, DVC, shell environments, and data pipeline orchestrationSolid foundation in statistics and experimental design for ML evaluationExperience with LLM systems, including prompt/context engineering, agentic workflows, and output optimization strategiesFamiliarity with recent research on LLM training datasets and evaluation benchmarksAbility to thrive in fast-moving environments with ambiguous requirementsAnalytical, structured, and rigorous mindset, with high attention to reproducibility and scientific soundnessBenefitsCompetitive salary (£70K - £90K) with equity opportunitiesFully remote role with flexibility to work from anywhere in EuropeCareer growth and exposure to bleeding-edge AI research and toolingCollaborative, high-impact environment with experienced researchers and engineersInclusive culture valuing curiosity, iteration, and scientific rigorAccess to modern AI tools to accelerate development and experimentationJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps, such as interviews or additional assessments, are then handled by their internal hiring team.Thank you for your interest!