Description

Job Responsibilities include:

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

Build and maintain backend services, APIs, AI workflows, and full-stack applications using Python, FastAPI, Angular/React, and Google Cloud Platform (GCP).

Develop agent orchestration frameworks, semantic search solutions, RAG architecture, NL-to-SQL capabilities, and metadata enrichment services.

Implement AI governance, observability, evaluation frameworks, and guardrails to ensure reliable, secure, and high-quality AI system performance.

Collaborate with Product, Data Engineering, and Platform teams to translate business requirements into scalable AI-driven solutions and technical architectures.

Conduct code reviews, troubleshoot complex AI and platform issues, mentor team members, and drive engineering excellence through best practices and continuous improvement.

Required Qualifications:

Bachelor’s degree in computer science, Engineering, Data Science, Artificial Intelligence, Information Technology, or a related technical field.

5+ years of professional software engineering experience with hands-on development of AI-powered applications, LLM solutions, or enterprise software platforms.

Strong expertise in multi-agent AI systems, LLM orchestration, Agentic AI frameworks (ADK, CrewAI, LangGraph, or similar), Python/FastAPI development, and Google Cloud Platform (GCP).

Proven experience building production-grade AI applications, including RAG architectures, semantic search, NL-to-SQL solutions, AI observability, guardrails, full-stack development (Angular/React), and enterprise-scale AI system deployment

Key Skills

Education

Any Graduate