Description

You will lead the architecture and hands-on integration of Generative AI use cases for virtual assistant experiences.

Responsibilities

• Architect and implement GenAI solutions specifically utilizing LLMs and Gemini.
• Drive the integration of Retrieval Augmented Generation (RAG) and Function Calling/Tools into existing workflows.
• Manage non-functional requirements including safety filters, data security, grounding, and prompt injection prevention.
• Collaborate with cross-functional teams to deliver production-ready AI implementations.

Required Skills

• 10+ years of professional experience in software engineering and architecture.
• Hands-on expertise with Python and Java.
• Proven experience implementing RAG (Retrieval Augmented Generation).
• Practical application of Langchain and Vector databases.
• Experience with Flink (DAG).
• Deep understanding of LLM orchestration and tool/function calling.
• Strong grasp of AI safety, data security, and grounding techniques.
• Ability to articulate specific technical contributions and project impact.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Familiarity with emerging trends and latest advancements in the GenAI landscape.

Key Skills

Education

Any Graduate