Overview
Experience: 10+ YOE
Qualifications
- Prior experience of implementing GeAI usecases for Virtual Assistant
- Experience with LLM's and Gemini in particular
- Consulting mindset, worked with teams, played an architect role
- Skills : Java, Python, Flink (DAG)
Responsibilities
This is an integration role which requires the person to be hands-on.
- Hands-on experience: Practical application of listed technologies is crucial in key areas relevant to the role, including:
- RAG (Retrieval Augmented Generation)
- Function Calling/Tools
- Langchain
- Vector databases
- Clear articulation of contributions: Candidates should be able to explain their involvement and impact in specific projects.
- Deep understanding of GenAI concepts: Beyond surface-level knowledge, a strong grasp of core concepts, including non-functional requirements (safety filter, data security, prompt injection, grounding), is essential.
- Familiarity with emerging trends: Keeping up to date with the latest advancements in GenAI is highly desirable.