Our open-source platform helps teams manage complex workflows with confidence, and we’re already making a big impact in businesses around the world.
Now, we’re looking for a Full Stack Engineer to help us take things to the next level.
In March 2026, we closed a $25M Series A led by RTP Global, with participation from Alven, ISAI, and Axeleo – backed by founders from Datadog, dbt Labs, and Hugging Face.
About the roleKestra orchestrates workflows across systems and domains.
AI agents and LLM-driven workflows are a growing part of that, and this role is about making sure they can run reliably inside the orchestrator.
This is not a wrapper around a model API, but a platform orchestrating how agent steps should be run, retried, branched, and kept observable inside the orchestrator.
That work happens in the Kestra core, which is Java.
What you would doDesign and build the execution primitives for AI workflows in the Kestra engineBuild and maintain the plugins that connect Kestra to LLM providers and agent frameworksTurn real agent use cases into reusable blueprints, together with the product teamKeep AI executions observable and debuggable to the same standard as the rest of KestraWhat we are looking forA strong Java background.
You have built and maintained production Java systems, not used Java in passing.
Hands-on experience with LangChain4j or a comparable Java agent frameworkA clear mental model of how agentic systems are actually run: tool calls, state, retries, failure modesComfort working close to an orchestration engine, where correctness and reliability matter more than demosOur Tech StackBackend: Java, MicronautFrontend: Vue.
js, BootstrapDatastore: Kafka, Elasticsearch, PostgreSQL, MySQLInfrastructure: Docker, Kubernetes, TerraformCloud: GCP, AWS, AzureTools: GitHub for repo management, actions, and issuesWe work with a variety of modern technologies, and you’l.