Software Engineer

Archestra; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-first

On-site option in London/Montreal

Founding-team influence

Job summary

Archestra is seeking a founding engineer to help build an open-source AI infrastructure platform. The role spans core platform development and a customer-facing edge layer, with track assignment based on strengths, in a remote-first team that can meet on-site in London or Montreal if desired.

You will join a small founding team, shape architecture and engineering practices, and contribute to a codebase designed for reliability, performance, and community adoption.

Qualifications

• Solid software engineering background across backend and systems-level concerns.
• Hands-on AI infrastructure experience or strong interest.
• Experience building/maintaining production systems.
• Strong written communication for remote collaboration.

Responsibilities

• Design and build components of open-source AI infrastructure platform.
• Develop features on platform core or edge depending on track.
• Collaborate with founding team to shape architecture and engineering practices.
• Write production-quality code with reliability and performance focus.
• Contribute to documentation, design write-ups, and code reviews.
• Engage with open-source community, including issue triage and contributions.

Skills

Backend and systems

AI infrastructure interest

Written communication

Self-directed work style

Tools

Containers

Kubernetes

Cloud-native

Job description

Role overview

A founding engineering position on an early-stage team building open-source AI infrastructure. The work spans two complementary areas: the internal platform core and the customer-facing edge layer, with the team matching candidates to the track that fits their strengths. The organization operates as remote-first, while still offering optional on-site collaboration in London or Montreal.

Responsibilities

• Design and build components of an open-source AI infrastructure platform intended for broad community adoption
• Develop features on either the platform core (foundational systems) or the customer-facing edge (user and integration surfaces), depending on the track
• Collaborate closely with a small founding team to shape architecture, technical priorities, and engineering practices
• Write production-quality code with attention to reliability, performance, and maintainability
• Contribute to documentation, design write-ups, and code review to keep the codebase healthy as the team grows
• Engage with the wider open-source community around the project, including issue triage and contribution workflows

Requirements

• Solid software engineering background, comfortable working across backend and systems-level concerns
• Hands-on experience with or strong interest in AI infrastructure, machine learning platforms, model serving, or related tooling
• Comfort operating in a small, early-stage environment with significant ownership and ambiguity
• Demonstrated track record of building and maintaining production systems
• Strong written communication skills suited to remote, distributed collaboration
• Self-directed work style with the ability to prioritize in a fast-moving setting

Nice to have

• Prior contributions to or maintainership of open-source projects
• Familiarity with infrastructure primitives such as containers, orchestration platforms, or cloud-native deployment
• Experience with the data and serving layers commonly used in AI workloads
• Interest in shaping developer experience for an open-source community

Benefits and work setup

• Remote-first working model with flexibility across time zones
• Optional on-site presence available in London or Montreal for those who want in-person collaboration
• Founding-team level of influence over technical direction, product shape, and engineering culture
• Opportunity to work on infrastructure at the foundation of an open-source AI ecosystem