Data Engineer (AI & Backend Support)

About Aifano GmbH

Aifano GmbH is an AI-driven company dedicated to revolutionizing enterprise workflows through intelligent automation and data-driven solutions. We develop products that seamlessly integrate AI technologies to optimize business processes efficiently. Our focus is on leveraging the best foundation models fine-tuning AI for enterprise needs and ensuring secure scalable AI adoption.

Data Engineer (AI & Backend Support)

Are you passionate about data engineering backend development and AI-powered technologies? Do you enjoy designing scalable data models, optimizing pipelines, and leveraging machine learning for intelligent automation? If so, Aifano GmbH is looking for you!

Responsibilities

• Design and implement data models to support AI-driven applications.
• Develop scalable data pipelines using Supabase, Prisma, and event‑driven architectures.
• Support backend teams with database architecture, query optimization, and API development.
• Investigate and implement prompt engineering techniques for AI model optimization.
• Research and apply machine learning technologies to extract and process enterprise data.
• Ensure data integrity, security, and performance across distributed systems.
• Collaborate with AI engineers to integrate foundation models into enterprise workflows.
• Write clean, testable, and well‑documented code for data infrastructure and services.

Qualifications

• Strong expertise in data modeling, database design, and backend architecture.
• Experience with Supabase, Prisma, Postgre SQL, and event‑driven architectures.
• Knowledge of ETL pipelines, data warehouses, and real‑time data processing.
• Familiarity with prompt engineering and machine learning frameworks.
• Experience integrating AI models into backend systems (OpenAI, Cohere, Anthropic).
• Proficiency in Python and Type Script/JavaScript for backend support.
• Strong problem‑solving skills and a passion for AI‑driven automation.
• Hands‑on experience with foundation models and their enterprise applications.
• Knowledge of MLOps, model fine‑tuning, and RLHF.
• Experience with message queues (Kafka, Rabbit MQ) and distributed computing.
• Contributions to open‑source projects or a strong Git Hub portfolio.

Benefits

• Remote‑first with options for hybrid work in Germany.

Start date: ASAP.

Key Skills Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, No SQL, Big Data, Data Warehouse, Kafka, Scala.

Employment Type: Employee Experience: years Vacancy: 1