Elixir/Phoenix Engineer for AI Training (Remote)

ixolabs.ai

France

À distance

EUR 82 656 - 165 312

Temps partiel

14 jours+

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Résumé du poste

ixolabs.ai is seeking an Elixir on BEAM Engineer for AI training. You will help AI generate code that thinks in processes and supervision rather than in threads and try/catch.

The role is remote, independent contractor, with 10-25 hours per week and an immediate start. You will generate and review OTP, GenServers, supervisors, LiveView patterns, and Ecto schemas, plus evaluate distributed Erlang scenarios.

Qualifications

  • 5+ years of Elixir or Erlang in production systems.
  • Deep familiarity with OTP, GenServers, supervisors, and Tasks.
  • Experience building production Phoenix apps, including LiveView.
  • Strong grasp of Ecto, including multi, sandbox, and migrations.
  • Comfort with releases, hot upgrades, and clustering BEAM nodes.
  • Familiarity with NIFs, Ports, or Rust interop is a plus.

Responsabilités

  • Generate and evaluate Elixir instruction-response pairs covering OTP, GenServers, and supervision trees.
  • Review AI-generated code for correct use of pattern matching, immutability, and the actor model.
  • Provide feedback on Phoenix LiveView, Channels, and PubSub patterns.
  • Validate AI handling of Ecto schemas, changesets, and database transactions.
  • Evaluate AI outputs for distributed-Erlang scenarios, including Node clustering and failover.
  • Identify subtle issues in process boxing, mailbox bloat, and supervision-strategy design.

Connaissances

Elixir
Erlang
OTP
GenServers
LiveView
Ecto
Clustering BEAM
Pattern matching
Immutability
Distributed Erlang

Description du poste

ixolabs.ai is seeking an Elixir on BEAM Engineer for AI training. You will help AI generate code that thinks in processes and supervision rather than in threads and try/catch.

The role is remote, independent contractor, with 10-25 hours per week and an immediate start. You will generate and review OTP, GenServers, supervisors, LiveView patterns, and Ecto schemas, plus evaluate distributed Erlang scenarios.

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