Senior Python & AI Engineer for AI-Driven Automation

Locus EU

Amsterdam

Híbrido

EUR 90.000 - 130.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model
Office in Amsterdam
Holiday allowance 8%
25 days annual leave

Descripción de la vacante

Locus in Amsterdam is seeking a Senior Python/AI developer to join our small team building property management software. You’ll automate repetitive workflows, connect cloud AI models to application data, and translate experiments into production features.

You’ll work with Python, FastAPI, PostgreSQL, and Redis in a lean codebase, collaborate with real estate domain experts, and mentor colleagues while balancing performance, cost, and data privacy in AI-driven solutions.

Formación

  • Proficient in Python and FastAPI with hands-on backend experience.
  • Experience applying cloud AI tooling to automate workflows.
  • Familiar with event-driven architectures and event sourcing.
  • Ability to collaborate with domain experts and mentors.
  • Experience with relational databases and backend design.

Responsabilidades

  • Turn repetitive, error-prone steps in customer workflows into automation using prototypes.
  • Integrate models outputs into app workflows and data access.
  • Balance performance, cost, and data privacy in AI workflows.
  • Write maintainable code and domain-focused tests.
  • Collaborate with domain experts to validate features and iterate.
  • Mentor colleagues on technical decisions.

Conocimientos

Python development
FastAPI
Cloud AI tooling
Event sourcing
Code reviews

Herramientas

PostgreSQL
Redis
CQRS

Descripción del empleo

Locus in Amsterdam is seeking a Senior Python/AI developer to join our small team building property management software. You’ll automate repetitive workflows, connect cloud AI models to application data, and translate experiments into production features.

You’ll work with Python, FastAPI, PostgreSQL, and Redis in a lean codebase, collaborate with real estate domain experts, and mentor colleagues while balancing performance, cost, and data privacy in AI-driven solutions.

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