About the role

Aplyr's Quick Take

This role is for a seasoned software engineer focused on building and optimizing large-scale distributed systems using Python or Rust. You'll be designing core platform features for high traffic and low latency, while also automating processes with AI. It's an individual contributor role that requires deep technical expertise and a proactive approach.

Good fit

Ideal candidates have over 5 years of experience in distributed computing and orchestration, with a strong grasp of system design and performance tuning. A self-starter attitude and the ability to communicate technical decisions effectively will help you thrive here.

Worth noting

The company emphasizes leveraging AI for automation and requires a solid understanding of complex systems under production load. The role is remote but based in Turkey, which may limit some applicants.

You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know how to achieve reliability and scale with minimum operational load.

Key responsibilities

Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc
Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world
Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems
Profile and tune low level CPU and memory performance

Requirements

5+ years experience building distributed compute and orchestration platforms in Python or Rust
Strong understanding of distributed systems fundamentals: consensus, scheduling, fault tolerance, capacity planning
Deep understanding of computational complexity and memory allocation
Track record of designing systems that scale under real production load
Experience building and using observability to drive performance and reliability decisions
Excellent communication and ability to drive technical decisions across teams
Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

Experience with AI/ML inference or training infrastructure
Experience with high-performance systems programming (async runtimes, zero-copy, memory-safe concurrency)
Background in building multi-tenant compute platforms
Understanding of networking fundamentals and performance characteristics
Familiarity with GPU workload characteristics and scheduling constraints

Location

Turkey

What we offer at fal

Interesting and challenging work
A lot of learning and growth opportunities
Regular team events and offsites

Skills & Tags

python rust ai data product design

Aplyr's read

Fal.ai is an AI-driven platform revolutionizing productivity and collaboration through intelligent automation, attracting tech-savvy professionals focused on cutting-edge innovation.
Synthesized from recent postings & public sources

What's promising

•Fal.ai leverages AI to significantly enhance workplace productivity and collaboration.
•The company is expanding rapidly, with diverse roles in engineering and sales.
•Fal.ai's focus on intelligent automation attracts top talent in AI and tech.

What to watch

•Limited public information about Fal.ai's financial stability and long-term viability.
•The competitive AI landscape poses significant challenges for sustained differentiation.
•Rapid expansion may strain company resources and impact employee work-life balance.

Why fal.ai

•Fal.ai specializes in intelligent automation for productivity and collaboration.
•The company offers a wide range of engineering roles, indicating a strong tech focus.
•Fal.ai's emphasis on AI-driven solutions sets it apart in the productivity sector.

Aplyr’s read is generated by AI from public sources. Was it useful?