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.
Accountabilities:
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
Requirements
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
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 thoroughly analyzes your CV and LinkedIn profile, focusing on your skills, experience, and achievements.
📊 It then compares your profile to the job's key requirements and past success factors to calculate your match score.
🎯 The top three candidates with the highest match scores are automatically shortlisted for the role.
🧠 When necessary, our human team performs an additional review to ensure no outstanding profile is overlooked.
This process is
transparent, skills-based, and bias-free
, emphasizing your professional fit and potential. Once the shortlist is finalized, it is shared directly with the hiring company, which then conducts interviews or additional assessments.
Thank you for your interest!