What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong foundation in Python LLMs and agentic architectures
- Experienced in prompt engineering context optimization and AI pipeline design
- Comfortable building fast prototypes and testing model behavior in varied complex contexts
- Curious pragmatic and unafraid to experiment
Nice to have
- fast experimentation
- pragmatic approach
- curious mindset
- adaptable thinker
Day to day
- Develop and optimize agentic AI pipelines for automation and workflow intelligence.
- Experiment with prompt engineering context tuning and model orchestration to improve performance and adaptability.
- Collaborate with engineers and product teams to integrate AI systems into real-world workflows and continuously refine them through experimentation and data feedback.