Description

Design, develop, and deploy multi-agent AI systems and LLM-powered applications to support enterprise data platform initiatives.

This role is hybrid.

Responsibilities

• Build backend services, APIs, and full-stack applications using Python, FastAPI, and Angular/React on Google Cloud Platform.
• Develop agent orchestration frameworks, semantic search solutions, RAG architecture, and NL-to-SQL capabilities.
• Implement AI governance, observability, evaluation frameworks, and guardrails to ensure reliable system performance.
• Collaborate with Product, Data Engineering, and Platform teams to translate business requirements into scalable AI-driven solutions.
• Conduct code reviews, troubleshoot complex AI issues, and mentor team members to drive engineering excellence.

Required Skills

• 5+ years of professional software engineering experience with hands-on development of AI-powered applications or enterprise platforms.
• Strong expertise in multi-agent AI systems, LLM orchestration, and Agentic AI frameworks (ADK, CrewAI, LangGraph, or similar).
• Proficiency in Python and FastAPI development.
• Experience with Google Cloud Platform (GCP).
• Proven experience building production-grade AI applications, including RAG architectures and semantic search.
• Full-stack development experience with Angular or React.
• Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or a related technical field.

Preferred Skills

• Experience with metadata enrichment services.
• Background in enterprise-scale AI system deployment.

Key Skills

Education

Any Graduate