AI Engineer

You might be our missing piece if you have:

• Strong Python skills and hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or Keras.
• Experience building backend applications and APIs using FastAPI, Flask, or Django.
• Solid experience developing AI/ML solutions and applications powered by LLMs.
• Research experience and the ability to turn scientific papers and experimental ideas into practical solutions.
• Experience working with commercial LLM APIs, embeddings, text generation, and semantic search.
• Solid experience integrating external APIs, including OpenAI, Anthropic, or similar AI providers.
• Strong data processing skills using tools such as Pandas, NumPy, and SciPy.
• Familiarity with relational databases and tools such as SQLAlchemy and Alembic.
• Proficiency with Docker and containerized development and deployment.
• A solid understanding of clean, maintainable, and PEP 8-compliant Python code.
• The ability to communicate complex AI concepts clearly and collaborate effectively with product and engineering teams.
• A sense of belonging while reading about our culture.

We would be thrilled if you have:

• Experience with cloud infrastructure such as AWS, Azure, GCP, or DigitalOcean.
• Hands-on experience with compute-intensive AI models and repositories such as Stable Diffusion or Llama.
• Experience optimizing and deploying AI models for production inference.
• Familiarity with transformer-based architectures and their practical applications.

We will be working together on the following:

• Developing data pipelines and APIs for AI-powered products and services.
• Building scalable and reliable backend systems that serve AI inference results.
• Working across AI areas such as data science, image generation, image processing, LLMs, and transformer-based architectures.
• Turning research findings and experimental approaches into practical solutions.
• Collaborating with AI Product Managers, engineers, and web development teams to translate client needs into technical solutions.
• Communicating technical decisions and complex AI concepts to technical and non-technical stakeholders.