Description :
- 7+ years in technology roles, with 5+ years in Data Engineering and 2+ years in GenAI/AI product development at scale.
- Proven experience with Agentic AI architectures, multi-agent systems, or hands-on implementation of RAG pipelines.
- Hands-on coding in Python and exposure to Gen AI frameworks such as LangChain, LlamaIndex, HuggingFace
- Strong understanding of LLMOps/MLOps principles to deploy, monitor models, and implement CI/CD automation.
- Experience with LLM evaluation frameworks, guardrails to evaluate and monitor output quality, and control hallucinations
- Experience in deploying solutions on a cloud platform AWS (preferred), Azure/GCP with containerization (Docker/Kubernetes).
- Demonstrated problem-solving skills with a track record of innovative solutions to complex challenges
Data Engineering Skills :
- Strong knowledge of SQL, dbt (preferable), Airflow, and Snowflake for building and maintaining data pipelines.
- Hands-on experience with ETL/ELT, data modeling, SCD/CDC frameworks, and data quality testing.
- Ability to analyze performance bottlenecks and optimize data pipelines for efficiency and scalability.
- Exposure to version control (GitHub/Bitbucket) and Agile methodologies.