TL;DR
Lead Applied AI Engineer (AI): Designing, building, and deploying production-grade AI systems, focusing on LLMs and delivering measurable business impact. Focus on architecting scalable AI/ML systems, leading LLM-based application development, and optimizing performance in high-growth environments.
Location: Hybrid work in Amsterdam, Netherlands with occasional travel.
Company
hirify.global is a company redefining recruitment through AI and automation, with leadership bringing 15+ years of SaaS and recruitment tech experience.
What you will do
- Architect and implement scalable AI/ML systems in production environments.
- Lead the design and deployment of LLM-based applications (RAG, agents, fine-tuning, evaluation frameworks).
- Build and optimize pipelines for data ingestion, training, inference, and evaluation.
- Develop APIs and services that integrate AI capabilities into core products.
- Improve performance, latency, cost efficiency, and reliability of AI systems.
- Partner with Product, Design, and Engineering to identify high-impact AI opportunities.
Requirements
- 6+ years of experience in software engineering or machine learning.
- 3+ years building and deploying ML systems in production.
- Strong experience with LLMs and modern AI application patterns (RAG, embeddings, evaluation, prompt engineering).
- Proficiency in Python and modern backend frameworks.
- Experience with cloud infrastructure (preferably GCP).
- Solid understanding of data pipelines, distributed systems, and scalable architecture.
Nice to have
- Experience with fine-tuning large models.
- MLOps and model monitoring expertise.
- Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).
- Experience building AI agents or multi-step reasoning systems.
- Startup or high-growth environment experience.
Culture & Benefits
- Competitive compensation and stock options.
- Top-tier tools (MacBook Pro + personal development budget).
- Hybrid work model with occasional travel.
- Clear growth path into senior/strategic roles as the enterprise segment expands.
- Opportunity to work directly with leadership in a high-growth, high-ownership environment.
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