Related skills
terraform python rag multi-agent systems llm📋 Description
- Design and deliver production-grade AI systems, including LLM-powered apps for strategy teams.
- Architect multi-agent systems and tool-calling frameworks to support strategy workflows.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines over external datasets.
- Collaborate with agile cross-functional teams to align AI with business goals.
- Gather requirements from stakeholders and translate them into scalable AI architectures.
- Implement evaluation frameworks to measure accuracy, coverage, interpretability, and bias.
🎯 Requirements
- MSc, PhD, or equivalent experience in AI, ML, or related fields.
- Strong proficiency in Python and software engineering best practices.
- Hands-on experience with LLMs, embeddings, RAG pipelines, and vector databases.
- Experience designing multi-agent systems or tool-calling frameworks.
- Experience building evaluation frameworks for model metrics and bias detection.
- Experience with distributed systems and microservices architectures.
🎁 Benefits
- Career path with options for technical specialization or management.
- Social benefits.
- Continuous training.
- Flexible working hours and work-life balance.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!