Technical Lead - Agentic AI with GCP

• Agentic AI Development: Experience designing and building autonomous AI agents with multi-step reasoning, planning, and task execution.
• Python Programming: Strong hands-on development experience in Python.
• Large Language Models (LLMs): Practical experience working with LLMs, prompt engineering, and AI-powered applications.
• Agent Frameworks & Orchestration: Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
• Google Cloud Platform (GCP): Hands-on experience with:
• Vertex AI
• Cloud Run
• GCP Workflows
• Other GCP AI/ML services
• AI Integration: Experience integrating AI agents with enterprise applications, APIs, databases, and business systems.
• Prompt Engineering: Ability to design, optimize, and manage prompts for reliable agent behavior.
• AI Memory & Context Management: Experience implementing contextual memory, retrieval, and conversation management.
• AI Evaluation & Monitoring: Ability to measure, monitor, and optimize agent performance, reliability, and cost.
• Responsible AI: Understanding of AI governance, model evaluation, safety, bias mitigation, and responsible AI practices.

Nice-to-Have Skills

• RAG (Retrieval-Augmented Generation)
• Vector Databases (Pinecone, Weaviate, Chroma, Vertex AI Vector Search)
• Kubernetes / GKE
• MLOps and Model Lifecycle Management
• Event-Driven Architectures
• Multi-Agent Systems
• Enterprise Automation Platforms
• CI/CD for AI Applications
• Data Engineering on GCP (BigQuery, Dataflow)
• GenAI Solution Architecture