Logo for Kestra

Senior Backend Engineer, AI Orchestration

Role overview

Qualifications

  • Strong Java background with production experience
  • Hands-on experience with LangChain4j or a comparable Java agent framework
  • Clear understanding of agentic systems including tool calls and state management
  • Comfortable working with orchestration engines

Responsibilities

  • Design and build execution primitives for AI workflows in the Kestra engine
  • Build and maintain plugins connecting Kestra to LLM providers and agent frameworks
  • Turn real agent use cases into reusable blueprints
  • Ensure AI executions are observable and debuggable

About the company

Kestra logo

Kestra

Developer Tools & DevOps Platforms

Kestra is an infinitely scalable data orchestration platform. Creating, running, scheduling, and monitoring millions of complex pipelines. Open-source data integration for modern data teams, real-time, cloud native, low code, ETL or ELT data pipelines, easy to learn, easy to extend, improve the time to market.

Company details

IndustryDeveloper Tools & DevOps Platforms
Company size2 - 10

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

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.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Back-End Engineer Related jobs

Other jobs at Kestra

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.