Description

Key Skills: Agentic AI, Data Scientist, Python, Generative AI, Google, Data, LangChain Development, Data Analytics

Roles and Responsibilities:

• Build and optimize advanced AI solutions, including multi-agent workflows, using LangChain and Google ADK.
• Design and implement governance and evaluation frameworks to ensure agentic AI systems are secure, reliable, and traceable (e.g., using LangFuse).
• Translate product vision into technical implementation plans in partnership with Product teams.
• Drive end-to-end delivery of GenAI capabilities, including RAG and advanced prompt engineering.
• Assess and escalate risk appropriately, ensuring adherence to applicable laws, rules, regulations, and internal policies.

Skills Required:

• 5 - 9 years of relevant experience in data science and GenAI/agentic AI delivery.
• Data science leadership with hands-on delivery as a data scientist.
• Python for building and optimizing GenAI and agentic AI solutions.
• Experience building and improving generative AI and agentic AI systems, including multi-agent workflows.
• End-to-end experience with RAG or advanced prompt engineering frameworks such as LangChain or Google ADK, plus exposure to evaluation/governance practices.

Good to Have:

• Data analytics experience and strong data fundamentals.
• Exposure to Google-based GenAI tooling and development.
• LangChain development experience.

Education: Any Graduation, Any Post Graduation (quantitative field preferred) or equivalent experience

Key Skills

Education

Any Graduate