hybrid
Senior AI/ML Engineer (Python) Generative AI, FastAPI, LLM
Generative AI Engineer
Senior AI Engineer to design and deploy scalable generative AI solutions using Python, FastAPI, and LLM technologies.
About the role
Key Responsibilities
- Design and develop AI workflows and production-grade APIs using Python (FastAPI/Flask).
- Lead prompt engineering initiatives and implement RAG (Retrieval-Augmented Generation) architectures and agentic AI patterns.
- Build, deploy, and maintain AI models across all environments (Dev/QA/Prod) with robust monitoring, testing, and documentation.
- Work with data processing pipelines and AI-enabled workflows; implement hybrid prompting techniques and advanced generative AI solutions.
- Leverage GenAI tools and frameworks (LangChain, Hugging Face, LlamaIndex) and explore Gemini LLMs when applicable.
- Collaborate on model deployment and containerization (Docker), version control (Git), and CI/CD practices.
Requirements
- Strong hands-on Python experience.
- Hands-on API development in Python using FastAPI or Flask.
- Experience with data processing and AI-enabled workflows in Python.
- Knowledge of LLM concepts, prompt engineering, RAG, and agentic AI.
- Basic knowledge of hybrid prompting techniques.
Skills
pythonfastapillmgenerative aiprompt engineeringrag