Work in a scaled Agile working environment and be part of a global and diverse team, contributing to all stages of the software development lifecycle
Job Summary
Work in a scaled Agile working environment and be part of a global and diverse team, contributing to all stages of the software development lifecycle.
Lead the implementation, deployment, and testing of multi-agent systems, mentoring junior engineers on best practices for LLM engineering and agentic system development.
Design and build complex agentic systems with multiple interacting agents, implementing robust orchestration logic and RAG pipelines for optimal reliability, latency, and cost control.
Matching Summary
Work in a scaled Agile working environment and be part of a global and diverse team, contributing to all stages of the software development lifecycle.
Skills & Requirements
Must-have
Python programming
LLM-powered agents
Google ADK
LangGraph
multi-agent systems
REST/gRPC APIs
Nice-to-have
production experience with ADK and LangGraph
Vertex AI / Gemini
LangChain/LlamaIndex
Information retrieval
NLP
Key Requirements
3+ years of experience as Software Engineer / ML Engineer / AI Engineer
1-2 years working directly with LLMs
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience)