Software Engineer - Core Systems, Langflow Runtime (Remote US)

Job Description

Core Systems Software Engineer Langflow Runtime

About the Team: 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.

About the Role: 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 Langflows production infrastructure, ensuring we can deliver a world-class runtime experience both in the cloud and on-premises.

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.

Your Experience should include:

• 8+ years of 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.

Nice to Have:

• 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).

Why This Role?

• Work at the technical heart of one of the fastest-growing AI platforms.

• Tackle deep, complex engineering challenges that will scale to hundreds of thousands of users.

• Build alongside a vibrant open-source and developer community.

• Future leadership opportunities as the Langflow core systems group expands.

• Be adjacent to the hottest trends in AI without needing direct AI/ML model expertise.

Not sure if you qualify?

Apply anyway! We extend opportunities to a broad array of candidates, including those with diverse workplace experiences and backgrounds. Whether you're new to the corporate world, returning to work after a gap in employment, or simply looking to transition or take the next step in your career path, we are excited to connect with you.

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