AI Engineer - Agentic AI

Cerebra; India; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Cerebra invites an experienced AI Engineer specializing in Agentic AI to design, develop, and deploy intelligent multi-agent systems on Google Cloud.

You will leverage Python, Vertex AI, and Google ADK, implement HITL workflows, and explore CoT, ReAct, and evaluation metrics to ensure reliable agents.

This PAN INDIA hybrid role offers collaboration with customers and cross-functional teams to deliver scalable AI applications.

Qualifications

• Strong Python programming skills.
• Hands-on experience with GCP and Vertex AI.
• Experience in Agentic AI and multi-agent architectures.
• Experience with Google ADK or similar agent frameworks.
• Understanding of sequential and loop-based workflows.
• Knowledge of LLM tuning, including SFT, CoT, and ReAct.
• Experience with AI evaluation metrics, including Precision, Recall, and F1 Score.
• Experience in data analysis, agent deployment, debugging, and RCA.
• Familiarity with Human-in-the-Loop and interrupt-and-resume workflows.
• Strong communication and customer collaboration skills.

Responsibilities

• Design and develop multi-agent systems using Google ADK or similar frameworks.
• Build sequential and loop-based agent workflows for complex reasoning and data retrieval.
• Implement Human-in-the-Loop (HITL) workflows, including interrupt-and-resume patterns.
• Apply reasoning techniques such as ReAct, Chain-of-Thought (CoT), and Self-Reflection.
• Develop AI evaluation frameworks using Precision, Recall, F1 Score, trajectory analysis, and faithfulness metrics.
• Optimize LLM context usage and improve agent reliability and accuracy.
• Deploy and maintain AI agents on GCP and Vertex AI.
• Perform debugging, root cause analysis (RCA), and continuous improvement of AI solutions.
• Collaborate with customers and cross-functional teams to deliver scalable AI applications.

Skills

Python

GCP/Vertex AI

Agentic AI

Multi-Agent Systems

Google ADK

HITL workflows

CoT/ReAct/SFT

LLM evaluation metrics

Data analysis & debugging

Customer collaboration

Tools

Google ADK

Vertex AI

GCP

Job description

Immediate /Short Notice Only - MNC Payroll - MNC Client

Role: AI Engineer Agentic AI
Primary Skills: Python, Google Cloud Platform (GCP), Vertex AI, Google ADK, Multi-Agent Systems
Experience: 4 to 6+ Years
Location: PAN INDIA
Work Mode: HYBRID

Job Description

We are looking for an experienced AI Engineer specializing in Agentic AI to design, develop, and deploy intelligent multi-agent systems using Google ADK or similar frameworks. The ideal candidate will have strong Python programming skills, hands-on GCP and Vertex AI experience, and expertise in AI evaluation, agent orchestration, and human-in-the-loop workflows.

Key Responsibilities

• Design and develop multi-agent systems using Google ADK or similar frameworks.
• Build sequential and loop-based agent workflows for complex reasoning and data retrieval.
• Implement Human-in-the-Loop (HITL) workflows, including interrupt-and-resume patterns.
• Apply reasoning techniques such as ReAct, Chain-of-Thought (CoT), and Self-Reflection.
• Develop AI evaluation frameworks using Precision, Recall, F1 Score, trajectory analysis, and faithfulness metrics.
• Optimize LLM context usage and improve agent reliability and accuracy.
• Deploy and maintain AI agents on GCP and Vertex AI.
• Perform debugging, root cause analysis (RCA), and continuous improvement of AI solutions.
• Collaborate with customers and cross-functional teams to deliver scalable AI applications.

Must-Have Skills

• Strong Python programming skills.
• Hands-on experience with GCP and Vertex AI.
• Experience in Agentic AI and multi-agent architectures.
• Experience with Google ADK or similar agent frameworks.
• Understanding of sequential and loop-based workflows.
• Knowledge of LLM tuning, including SFT, CoT, and ReAct.
• Experience with AI evaluation metrics, including Precision, Recall, and F1 Score.
• Experience in data analysis, agent deployment, debugging, and RCA.
• Familiarity with Human-in-the-Loop and interrupt-and-resume workflows.
• Strong communication and customer collaboration skills.