Software Engineer (AI)

TL;DR

Software Engineer (AI): Developing efficient and scalable ML pipelines and internal tooling to bridge the gap between model creation and production with an accent on scalable architecture and system design. Focus on optimizing inference software infrastructure and transforming experimental ML pipelines into mature production solutions.

Location: Remote

Company

hirify.global provides AI-based computer-vision solutions to monitor and analyze aircraft turnaround processes for global airports and airlines.

What you will do

• Develop and maintain backends and tooling for internal ML customers.
• Create core ML pipelines for both offline internal processing and real-time production systems.
• Collaborate with ML researchers to optimize and transform experimental pipelines into scalable mature solutions.
• Maintain and optimize inference software infrastructure.
• Participate in architecture discussions to identify and implement pipeline and tooling improvements.

Requirements

• Strong production experience with Python.
• Solid knowledge of software development best practices and system design.
• Experience with Docker and Kubernetes.
• Familiarity with SQL, NoSQL, message brokers, and web frameworks (Django, FastAPI, etc.).
• English: B2+ proficiency (verbal and written) required.
• Ability to deliver features independently and navigate complex codebases.

Nice to have

• Experience with Django, PostgreSQL, MongoDB, Redis, Celery, Triton Inference Server, or GitLab CI.
• Experience or curiosity about the ML domain.

Culture & Benefits

• Always remote work with a flexible schedule.
• Paid vacation and paid sick leaves.
• Budget for relevant courses and online education.
• International team culture based on honesty and mutual respect.
• Live team events.