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
Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent
Vector databases and retrieval-augmented generation (RAG) patterns
Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models
Strong Python skills – Kotlin knowledge would be a plus
Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences
Proficiency in English, both written and verbal
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
Actively contributed to relevant open-source projects or publications