Develop, optimize, and maintain agentic AI pipelines for automation and workflow intelligence.
Experiment with prompt engineering, context tuning, and model orchestration to improve performance and adaptability.
Work with vector databases, RAG (retrieval-augmented generation), and related frameworks for contextual intelligence.
Collaborate with engineers and product teams to integrate AI systems into real-world workflows.
Continuously refine and improve models through experimentation, data feedback, and iterative development.

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, you turn uncertainty into working systems.

AI Engineer

Key skills