AI Engineer | EMEA/LATAM

Stack

Responsibilities

• ▹Productize AI-powered capabilities such as AI proposal writing and search experiences
• ▹Evaluate and monitor the performance of AI models and systems through rigorous testing and experimentation
• ▹Stay up-to-date with advancements in AI and machine learning, proactively suggesting improvements
• ▹Implement strong testing and CI/CD practices for AI system development

Requirements

• ▹Experience working in a startup or a smaller company with real engineering impact
• ▹5+ years of professional experience in software engineering, AI/ML development
• ▹Proficiency with production software (Python) and systems design
• ▹Knowledge of machine learning algorithms and model development techniques
• ▹Experience with ML lifecycle tools: MLflow, dvc, Weights & Biases
• ▹Experience with cloud deployment of ML systems
• ▹Professional experience with LLMs and large-scale models
• ▹Strong software engineering skills with a track record of building scalable, distributed ML systems
• ▹Product thinking: ability to turn product requirements into an LLM strategy
• ▹Ability to communicate complex ideas clearly

Nice to have

• ▹Experience building scalable LLM applications with frameworks such as LangGraph, LiteLLM, Agent Client Protocol, Koog
• ▹Depth of knowledge with RAG implementation and improvements
• ▹Proficiency with Kotlin

Soft skills

About the company

Starbridge helps go-to-market teams win in the public sector, surfacing scattered government signals such as council meetings and budget documents, and connecting them to the right buyers.