Founding ML Engineer (AI)

TL;DR

Founding ML Engineer (AI): Designing and building ML/LLM solutions for data ingestion, knowledge extraction, retrieval, and reasoning with an accent on prompt engineering, model selection, and inference optimization. Focus on architecting and improving agents for context retrieval, knowledge extraction, and data alignment, including prompt engineering, model selection, and inference optimization.

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Munich, Germany; Paphos, Cyprus; Remote, Germany; Warsaw, Poland; Yerevan, Armenia

Company

hirify.global' startup incubator, backed by 25 years of developer tooling expertise.

What you will do

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with hirify.global Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

Requirements

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with prompt engineering and LLM pipeline design, including evaluation.
• Experience with Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Proficiency in English, both written and verbal.

Nice to have

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.

Culture & Benefits

• A competitive salary and hirify.global benefits.
• A generous runway and corporate resources with startup autonomy.