AI Engineer with Python
About the role
- Must Have Technical/Functional Skills
- Primary Skill: AI Engineer
- Secondary: Python
- Design, develop, and deploy AI applications using Python, Expert-level Python programming
- Proficiency in AI frameworks (TensorFlow, PyTorch, Keras, Scikit-learn)
- Experience with LLMs, RAG, OpenAI APIsCloud/DevOps experience (Azure/AWS, SageMaker, Kubernetes, CI/CD)
- Database expertise (SQL & NoSQL)
- Develop and maintain Python backend services, APIs, and microservices
- Integrate machine learning models, neural networks, and generative AI (Transformers, LLMs)
- Implement AI solutions on cloud platforms (AWS, Azure, Google Cloud)
- Build and fine-tune Generative AI with frameworks (TensorFlow, PyTorch, Hugging Face)
- Monitor and improve model performance and scalabilityAPI development (RESTful) preferred
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
