Remote Python Full-Stack Engineer – AI & LLMs

Remote Python Full-Stack Engineer – AI & LLMs

Full-Time 80000 - 120000 Β£ / year (est.) No working from home possible
Oliver Bernard

At a Glance

  • Tasks: Build innovative AI products and solve complex technical challenges.
  • Company: Fast-growing AI company transforming intelligent automation.
  • Benefits: Hybrid work model, competitive salary, and career growth opportunities.
  • Other info: Flexible working environment with a focus on innovation.
  • Why this job: Join a dynamic team and make an impact in the AI space.
  • Qualifications: Experience in Python and full-stack development.

The predicted salary is between 80000 - 120000 Β£ per year.

Oliver Bernard is partnering with a fast-growing AI company building cutting-edge products that transform how businesses use intelligent automation and large language models.

They’re looking for Full Stack Python Developers who enjoy solving complex technical problems and building products from the ground up in a fast-paced environment.

Hiring from Senior to Staff level with a salary range of Β£80k-Β£120k. The role offers a hybrid model with 1 day in the office and 4 days from home.

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Remote Python Full-Stack Engineer – AI & LLMs employer: Oliver Bernard

At Oliver Bernard, we pride ourselves on being an excellent employer that fosters innovation and collaboration in the tech space. Our hybrid work model allows for flexibility while still providing opportunities for meaningful face-to-face interactions in our London office. We are committed to employee growth, offering continuous learning opportunities and a supportive work culture that values creativity and teamwork, making us an ideal place for passionate Full Stack Engineers to thrive.

Oliver Bernard

Contact Details:

Oliver Bernard Recruitment Team

We think you need these skills to ace Remote Python Full-Stack Engineer – AI & LLMs

Python
Full-Stack Development
AI & LLMs
Problem-Solving Skills
Technical Problem Solving
Product Development
Fast-Paced Environment Adaptability