Senior AI Engineer (EU)

Location: Remote within Germany, Ireland, the Netherlands, Portugal, Spain, or the United Kingdom

Company

hirify.global builds forms, surveys, and quizzes that help more than 150,000 businesses collect and understand customer data.

What you will do

• Design, build, and deploy generative AI capabilities for Research Flow and other hirify.global products.
• Develop applications and services using large language models, RAG, vector search, and agentic systems.
• Build machine learning services, APIs, batch and real-time pipelines, and supporting infrastructure with Python, AWS, Docker, Kubernetes, Kafka, Airflow, and MLflow.
• Create automated evaluations and benchmarks for accuracy, relevance, reliability, fairness, latency, and cost.
• Improve retrieval strategies, production observability, system reliability, performance, scalability, and cost efficiency.
• Establish AI engineering standards and collaborate with Product, Engineering, Data Science, Data Engineering, and Analytics teams.

Requirements

• At least four years of experience building and deploying machine learning or AI systems in production.
• Strong Python and software engineering skills, including experience with production services and frameworks such as FastAPI.
• Practical experience with generative AI applications, large language models, RAG, tool use, or agentic systems.
• Experience with PyTorch, LangChain, LangGraph, enterprise RAG, automated evaluation, and production monitoring.
• Experience with AWS, Docker, Kubernetes, Terraform, CI/CD, SageMaker or Bedrock, Kafka, vector databases, and MLflow.
• Strong communication skills and the ability to balance quality, speed, reliability, scalability, and cost.

Nice to have

• Experience in a B2B SaaS product company.
• Experience with Airflow, Argo Workflows, SQL, Spark, Snowflake, or other data-processing technologies.
• Experience combining structured data, unstructured data, and generative AI.
• Knowledge of AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention.
• Experience improving the latency and cost of AI systems at scale.

Culture & Benefits

• Fully remote work by design within the listed European countries.
• Cross-functional collaboration across Product, Engineering, Data Science, Data Engineering, and Analytics.
• Culture centered on teamwork, respect, transparency, trust, diversity, and high standards.
• Equal-opportunity workplace with a firm commitment to preventing discrimination and harassment.