Software Engineer - Core Systems Langflow

IBM

Software Engineering

Markham, ON, Canada

Posted on Jul 4, 2025

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Introduction

Langflow is one of the most exciting and rapidly growing parts of our company. Langflow powers our open-source community, cloud offerings, and upcoming integrations with major platforms like NVidia R2X and IBM WatsonX. Our engineering team is scaling to meet demand, and we're creating a new Core Systems group focused on building the execution engine that powers Langflow applications at scale.

Your role and responsibilities

We are looking for a Core Systems Software Engineer to join the new Langflow Runtime team. Your mission will be to help build a highly efficient, reliable, and scalable execution environment for Langflow applications — capable of serving thousands of concurrent users with low latency and high resiliency.

This is a deep technical systems role — not a frontend or typical backend "web app" position. You will work on the foundation of Langflow’s production infrastructure, ensuring we can deliver a world-class runtime experience both in the cloud and on-premises.

You will be joining a collaborative team of experienced engineers, working closely with other Langflow groups building the open-source platform, the cloud-hosted product (Astra integration), and the IBM Watson integration.

What you will do:

Design, build, and optimize a new runtime execution engine for Langflow applications.
Profile and optimize system performance (e.g., memory management, concurrency, throughput).
Refactor parts of the existing Python-based runtime to improve reliability while building a next-generation architecture.
Collaborate closely with the open-source and cloud product teams to ensure seamless integration.
Participate in architecture discussions, design reviews, and planning sessions.
Contribute to a strong engineering culture with code reviews, testing, and best practices.
Mentor and support fellow engineers on system design and runtime development best practices.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Your Experience should include (Required experience)

software engineering experience with a focus on core systems, distributed systems, or runtime environments.
Strong professional experience with Python.
Experience building scalable, concurrent server-side systems — not just API endpoints.
Familiarity with performance profiling and optimization (memory, CPU, network bottlenecks).
Background with at least one lower-level systems language such as Go, Rust, or Java.
Practical experience working on cloud-based services or other large-scale production environments.

Ability to reason about system behavior under load, failure conditions, and scaling pressure.
Experience with distributed systems patterns (e.g., actors, queues, caching, retries).
Excellent communication skills and a collaborative, team-oriented mindset.

Preferred technical and professional experience

Nice to Have:(Preferred experience)

Experience with open-source projects like Ray, Dagster, Dask or FastAPI.
Previous contributions to cloud runtime infrastructure, ML ops infrastructure, or serverless runtimes.
Interest in future leadership opportunities (e.g., tech lead roles as the team grows).

ABOUT BUSINESS UNIT

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

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OTHER RELEVANT JOB DETAILS

Must have the ability to work in Canada without sponsorship.

This role will involve working with technology that is covered by Export Regulations sanctions. If you are a Foreign National from any of the following US sanctioned countries (Cuba, Iran, North Korea, Syria, and the Crimea, Luhansk, Donetsk, Kherson, and Zaporizhia regions of Ukraine) on a work permit, you are not eligible for employment in this position.