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AI Engineer | EMEA/LATAM

StarbridgeGlobalnieGlobalnie

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano13 czerwca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
Zarobki120 000 - 140 000 USD

Starbridge is seeking a talented AI Engineer to join our team and help build the next generation of AI-powered systems. You will play a pivotal role in designing, evaluating, and deploying LLM-driven features that enable organizations to effectively analyze and act on complex public data.

Key responsibilities

  • Collaborate with engineering and product teams to productize new AI capabilities, including AI-driven proposal writing and advanced search experiences.
  • Evaluate and monitor the performance of AI models from providers like OpenAI, Anthropic, and Gemini through rigorous testing and experimentation.
  • Stay current with the latest advancements in AI and machine learning research to proactively suggest improvements to our generative AI infrastructure.
  • Implement robust testing and CI/CD practices to ensure reliable and high-performing AI system development.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent professional experience.
  • 5+ years of experience in software engineering and AI/ML development, including proficiency with Python and systems design.
  • Strong background in machine learning algorithms, model development, and ML lifecycle tools such as MLflow or Weights & Biases.
  • Proven track record of building scalable, distributed machine learning systems and deploying them in cloud environments.
  • Ability to translate product requirements into effective LLM strategies and communicate complex technical concepts clearly.

What we offer

  • Opportunity to work with cutting-edge large-scale models and shape the future of our platform.
  • A fast-paced, customer-centric environment that values momentum and decisiveness.
  • Unlimited PTO to ensure a healthy work-life balance.
  • Regular team offsites in global locations to foster collaboration and camaraderie.

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