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.
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.
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.
