Develop and experiment with Generative AI solutions using large language models (LLMs).
Implement prompt engineering, retrieval-augmented generation (RAG), and LLM-based applications.
Assist in building and testing AI/ML models and GenAI prototypes to solve business problems.
Work with large datasets to support model experimentation, evaluation, and improvement.
Write efficient and scalable Python code for AI and ML workflows.
Work within Linux-based development environments for AI experimentation and model development.
Utilize cloud platforms such as Azure or GCP for model experimentation and deployment.
Explore and implement agentic AI frameworks and orchestration tools for building AI-driven workflows.
Support development teams in integrating AI capabilities into applications and systems.
Ensure responsible handling of sensitive data including PII/PHI, following organizational data governance policies.
Document model experiments, results, and development processes.
Stay updated with emerging developments in Generative AI, LLMs, and AI engineering tools.

5+ years of overall professional experience in software development, machine learning, or AI engineering.
At least 2+ years of hands-on experience with Generative AI technologies and LLM-based applications.
Strong programming skills in Python.

Senior AI Engineer

Key skills