Agentic AI Engineer

Senior Agentic AI Engineer with over 8 years experience to design, build, and deploy autonomous, goal-driven AI systems with at least 2 years experience working on the Google Cloud Platform (GCP). The ideal candidate will integrate LLM reasoning, memory, and tool orchestration to create agentic applications that plan, act, and adapt dynamically.

Key Responsibilities

Design and implement agentic workflows that combine models with tools, APIs, and external data sources.

Develop multi-agent architectures with planning, reflection, and memory layers LangChain, or similar frameworks.

Integrate AI agents into enterprise applications.

Ensure governance, observability, and cost optimization within AI workloads.

Must-Have Skills

LangChain

Python

SQL

GCP

Strong experience with Python and AI orchestration frameworks (LangChain, AutoGen, or CrewAI).

Deep understanding of LLM prompt engineering, reasoning chains, and tool calling patterns.

Nice-to-Have Skills

Google ADK

Google Vertex AI

Familiarity with retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Pinecone, Weaviate, or Vertex Matching Engine).

Knowledge of MLOps on GCP, including model deployment, monitoring, and CI/CD integration.