Artificial Intelligence Engineer

7 days ago

Remote Kraków Gdańsk Wrocław Poznań Warszawa, Czech Republic beBee Careers Full time

Role Overview

We are seeking an experienced Artificial Intelligence Engineer to lead the development and integration of advanced language models. The ideal candidate has hands-on experience working with both closed-source and open-source language models, and understands how to architect, train, and fine-tune these models to meet diverse business needs.

Key Responsibilities

  • Evaluate and integrate closed-source language model APIs (e.g., ChatGPT) as well as deploy open-source language models (e.g., Llama, DeepSeek) in production environments.
  • Determine when to use hosted APIs versus self-managed models for cost, scalability, and performance considerations.

Agentic Frameworks & Architecture

  • Develop and maintain agentic frameworks in which model outputs feed into subsequent prompts or workflows (e.g., Goose-like systems).
  • Ensure robust pipeline orchestration where different AI components can interact efficiently and effectively.

Model Training & Fine-Tuning

  • Perform fine-tuning or training on open frameworks, optimizing language models for specific tasks or datasets.
  • Define criteria to decide when and how to fine-tune, balancing performance gains with resource constraints.

Scalability & Performance

  • Architect scalable and fault-tolerant solutions for high-load environments, including containerization and microservices.
  • Collaborate with DevOps to set up CI/CD pipelines, load testing, and performance monitoring.

Innovation & Best Practices

  • Stay updated on cutting-edge research and best practices in the generative AI domain, and identify how new developments can be integrated into existing products.
  • Document processes, create internal knowledge repositories, and mentor junior engineers on AI/ML best practices.

Collaboration & Product Integration

  • Work closely with Product, Data, and Engineering teams to align AI solutions with overall product goals.
  • Communicate complex technical concepts to both technical and non-technical stakeholders, ensuring clarity and shared understanding.

Requirements

  • Experience with closed-source language models (e.g., ChatGPT) and open-source language models (e.g., Llama, DeepSeek).
  • Familiarity with agentic frameworks (e.g., Goose-like systems).
  • Understanding of standard ML/DL frameworks (e.g., PyTorch, TensorFlow).

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