Overview This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI/ML Data Engineer in EMEA. As a Senior AI/ML Data Engineer, you'll take a leading role in shaping the foundation of the company's AI and data ecosystem. You'll be responsible for designing robust data pipelines, building reliable ETL/ELT processes, and implementing systems that power AI-driven product features. This position offers the opportunity to work at the intersection of data engineering and AI, collaborating with cross-functional teams to deliver intelligent, scalable solutions. You'll work in a fast-growing, fully remote environment that values autonomy, innovation, and collaboration, contributing directly to the evolution of next-generation AI applications. Responsibilities

Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support AI-powered features Develop and optimize embeddings, vector databases, and RAG pipelines for efficient information retrieval Implement and experiment with LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex Ensure seamless integration between data pipelines and existing product or platform services Establish and enforce best practices for data quality, observability, and performance within AI workflows Deploy and maintain Python-based AI services in production environments Collaborate closely with product, platform, and research teams to ensure data-driven innovation aligns with business goals

Qualifications

5+ years of experience in data engineering or backend development, ideally within SaaS environments Strong command of Python (FastAPI, Pandas, PyTorch/TensorFlow experience is a plus) Expertise in SQL, relational databases, and data modeling Familiarity with embeddings and vector databases such as Pinecone, Weaviate, or FAISS Experience working with AI frameworks for RAG or orchestration (e.g., LangChain, LlamaIndex) Comfortable collaborating across multiple teams and integrating pipelines into complex systems Bonus skills: cloud infrastructure (AWS, GCP), workflow orchestration tools (Airflow, Dagster)

Benefits

Competitive compensation aligned with market standards across EMEA Fully remote work flexibility within your country of residence — no mandatory office presence Equity options available to all roles, aligning your success with the company's growth Professional growth opportunities in a rapidly scaling and innovative environment Values-driven leadership that prioritizes learning, collaboration, and personal development Annual paid leave and country-specific benefits such as healthcare and pensions A diverse international culture, with team members across more than 40 countries

Note Jobgether AI Matching Process: Jobgether 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 analyzes your CV and LinkedIn profile to assess skills, experience, and achievements, compares your profile to the job's requirements, and may shortlist top candidates for further review by a human team.

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