Description

You will design, develop, and deploy production-grade generative AI services and applications. You will build scalable solutions using large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks. Your work involves integrating AI capabilities into enterprise systems while ensuring security and compliance.

Responsibilities

• Build and orchestrate multi-agent systems using LangChain, LangGraph, and Google ADK.
• Develop secure execution patterns and ensure compliance with enterprise security standards.
• Implement monitoring, evaluation, and lifecycle management for AI systems, including performance and drift tracking.
• Troubleshoot and resolve complex issues across AI services, models, and orchestration approaches.
• Collaborate with cross-functional teams and provide technical guidance to engineering members.

Required Skills

• 5+ years of experience in software engineering and AI/ML development.
• Hands-on experience building generative AI and LLM-based applications in production.
• Proficiency with LangChain and LangGraph for agentic architectures.
• Strong experience designing and implementing RAG-based solutions.
• Experience integrating AI systems into existing enterprise applications.
• Understanding of multi-agent systems, orchestration, and AI model behavior.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with Google ADK or similar multi-agent development platforms.
• Familiarity with MCP-based tool integration and agent-to-agent communication.

Key Skills

Education

Bachelor's degree