We are looking for an AI Engineer with backend development experience to help design and scale our next-generation multi-agent systems.
This role requires strong deep understanding of how AI agents, LLMs, and protocols operate internally.
You will contribute to building a multi-agent platform and orchestration pipelines across GCP (Vertex AI, ADK, BigQuery, Cloud Run, Dataflow) and AWS, focusing on scalability, reliability, and evaluation.
What youll do
Multi-Agent Systems Work with MCP & A2A protocols, implement agent discovery, registries, orchestration engines, and evaluation frameworks.
LLM Operations Apply embeddings, prompting, retrieval (RAG), fine-tuning, and optimize agentLLM integration.
Backend Development Build microservices (Python/Go) on Cloud Run / agents engine / Kubernetes, design APIs, and support distributed execution.
CI/CD & Airflow Contribute to pipelines for agents and workflows, with monitoring, rollback, and governance.
Agent Evaluation Help define and run metrics for agent performance, safety, and lifecycle management.
Requirements: 35 years of software engineering experience.
Hands-on experience building AI agents or multi-agent workflows.
Understanding of MCP & A2A protocols.
Proficiency in Python, containerization.
Exposure to LLMs (prompting, embeddings, RAG, fine-tuning).
Familiarity with CI/CD pipelines and Airflow (or similar).
Cloud experience (GCP preferred).
Bonus points
DevOps experience (IaC, observability, automation).
Data engineering (ETL, Spark, or similar).
Contributions to open-source AI/agent frameworks.
Recommended by an employee.
This position is open to all candidates.