Who are we?

In one sentence

What will your job look like?

• Lead the progress of our AI-driven automation tools, integrating LLM and expanding our data ingestion platform.
• Deploy, fine-tune and benchmark foundational LLM models for production focusing on accuracy, scalability, and efficiency.
• Build RAG (Retrieval-Augmented Generation) pipelines and focus on prompt engineering strategies to boost model relevance and adaptability.
• Design and build LLM-based agents with function-calling tools for specific, task-oriented AI solutions.
• Use LLM APIs (like Open AI, Anthropic) for language tasks, frameworks (Lang Chain, Llama Index) for rapid development, and platforms (Langfuse) for real-time monitoring
• Collaborate with cross-functional teams to align AI/ML applications with business goals, providing also technical insights to non-technical stakeholders.
• Manage data preprocessing, feature engineering, and model selection using large datasets and distributed computing.
• Follow MLOps best practices (CI/CD, versioning, deployment) to ensure streamlined operations and version control.
• Stay updated on AI/ML trends and technologies to drive continuous innovation.
  

All you need is...

• A Bachelor’s or Master’s in Computer Science, Machine Learning, or a related field, with specialized AI/ML training.
• 1-2 years in a leadership role on AI projects, plus 3-4 years of hands-on work with Large Language Models (LLMs), including model development, fine-tuning, and deployment.
• Strong skills in prompt engineering and LLM agent development, optimizing prompts and building intelligent agents for complex tasks and external tool interactions.
• Experience building RAG pipelines and integrating tools to improve retrieval, indexing, and context understanding.
• Advanced proficiency in Python and key AI/ML libraries for model building and automation.
• Excellent English communication skills, with the ability translating tech into plain language.
• A team-player mindset, proactive problem-solving skills, and an eagerness to innovate in a fast-paced, cross-functional environment

• Experience with LLM APIs (e.g., Open AI, Anthropic), and frameworks like Lang Chain and Llama Index.
• Familiarity with monitoring platforms like Langfuse for real-time observability
• Hands-on experience with advanced RAG techniques, data indexing, and embedding models.
Background in AI-driven automation and information extraction for building data-driven applications

Why you will love this job:

• The chance to serve as a specialist in software and technology.
• You will take an active role in technical mentoring within the team.
• We provide stellar benefits from health to dental to paid time off and parental leave!