Senior Backend Engineer, AI Orchestration

Posted 2 Hours Ago
Be an Early Applicant
27 Locations
Remote
Senior level
Machine Learning • Software • Database
The Role
Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.
Summary Generated by Built In
About Kestra

At Kestra, we’re on a mission to make orchestration and automation simpler for everyone. 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 role

Kestra 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 do
  • Design and build the execution primitives for AI workflows in the Kestra engine

  • Build and maintain the plugins that connect Kestra to LLM providers and agent frameworks

  • Turn real agent use cases into reusable blueprints, together with the product team

  • Keep AI executions observable and debuggable to the same standard as the rest of Kestra

What we are looking for
  • A 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 framework

  • A clear mental model of how agentic systems are actually run: tool calls, state, retries, failure modes

  • Comfort working close to an orchestration engine, where correctness and reliability matter more than demos

Our Tech Stack
  • Backend: Java, Micronaut

  • Frontend: Vue.js, Bootstrap

  • Datastore: Kafka, Elasticsearch, PostgreSQL, MySQL

  • Infrastructure: Docker, Kubernetes, Terraform

  • Cloud: GCP, AWS, Azure

  • Tools: GitHub for repo management, actions, and issues

We work with a variety of modern technologies, and you’ll get the opportunity to explore new tools and approaches as we grow.

Perks & Benefits
  • Work from anywhere: We’re a remote-first company, so you can work from wherever feels like home. Plus, you’ll have access to coworking spaces worldwide if you ever need a change of scenery.

  • Health coverage: From medical support, dental, and vision, we've got you covered.

  • Home office setup on us: We’ll provide all the equipment you need to work comfortably.

Our Hiring Process

We aim to move quickly (2-3 weeks), but we can adjust the timeline if needed.

  • Intro call with the hiring manager (30 min)

  • Technical test (2 hour, homework done in async)

  • Team chat with two of your future colleagues (30 min)

  • Final discussion with one of our co-founders (30 min)

We’re here to make the process smooth and transparent for you.

 
Before you apply

This is a Java-first role. The AI ecosystem is mostly Python and we know that. We can work with someone who has built AI systems in Python (or in TypeScript via LangChain.js) and has a solid Java background to grow from. We cannot work with someone who only knows the Python AI stack and does not want to write Java.

We are also not looking for candidates whose AI experience is a single demo or a personal side project. We want people who have run AI in production, dealt with outages, and learned from the failures that come with it.

Skills Required

  • Strong Java background; built and maintained production Java systems
  • Hands-on experience with LangChain4j or a comparable Java agent framework
  • Experience running AI systems in production and handling outages/failures
  • Clear mental model of agentic systems: tool calls, state, retries, failure modes
  • Comfort working close to an orchestration engine where correctness and reliability matter
  • Experience building and maintaining plugins connecting Kestra to LLM providers and agent frameworks
  • Familiarity with Micronaut
  • Experience with Kafka, Elasticsearch, PostgreSQL, MySQL
  • Experience with Docker, Kubernetes, Terraform
  • Experience with GCP, AWS, or Azure
  • Familiarity with Vue.js and Bootstrap (frontend)
  • Experience using GitHub and GitHub Actions for repo management and CI/CD
Am I A Good Fit?
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The Company
Paris
35 Employees
Year Founded: 2022

What We Do

Kestra is an open-source orchestration platform that makes both scheduled and event-driven workflows easy. By bringing Infrastructure as Code best practices to data, process, and microservice orchestration, you can build reliable workflows and manage them with confidence. In just a few lines of code, you can create a flow directly from the UI. Thanks to the declarative YAML interface for defining orchestration logic, business stakeholders can participate in the workflow creation process. Kestra offers a versatile set of language-agnostic developer tools while simultaneously providing an intuitive user interface tailored for business professionals. The YAML definition gets automatically adjusted any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is always managed declaratively in code, even if some workflow components are modified in other ways (UI, CI/CD, Terraform, API calls).

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