Agentic Ai Engineer

Cerebra; Hyderabad, Chennai, Bengaluru; À distance; INR 4 000 000 - 7 000 000; Plein temps

Résumé du poste

Cerebra is seeking experienced Agentic AI Engineers to join our team and work on next-generation Multi-Agent AI solutions. The role focuses on building agentic AI systems, deploying them on cloud, and ensuring robust performance through HITL workflows.

You will collaborate with customers and cross-functional teams to shape features and deliver cutting-edge MAS capabilities. The ideal candidate has 8+ years of experience, strong Python skills, and deep knowledge of LLM concepts, SFT, CoT, and

Qualifications

• Proficient Python programming and software development discipline.
• GCP and Vertex AI are mandatory for this role.
• Experience with Agentic AI / Multi-Agent Systems (MAS).
• Familiarity with Google ADK or similar frameworks.
• Able to design sequential and loop-based agent workflows.
• Knowledge of evaluation metrics (precision, recall, F1) and trajectory analysis.
• Understanding of LLM concepts (SFT, CoT & ReAct).
• Experience in multi-agent architecture and data processing.
• Ability to deploy agents on cloud platforms.
• HITL workflows, debugging, and root-cause analysis.
• Strong communication and customer collaboration skills.

Responsabilités

• Develop and advance next-generation Multi-Agent AI solutions.
• Build reliable agent workflows and deploy AI agents on cloud.
• Collaborate with customers and cross-functional teams to shape features.

Connaissances

Python programming

GCP

Vertex AI

Agentic AI

MAS

Agent workflows

Eval metrics

LLM concepts

Multi-agent architecture

Cloud deployment

HITL

Debugging

Communication

Outils

Google ADK

Vertex AI

GCP

Description du poste

Hiring: Agentic AI Engineers

We are looking for experienced Agentic AI Engineers to join our team and work on next-generation Multi-Agent AI solutions.

Role: AI Engineer Agentic AI
Location: Pan India
Experience: 8+ Years

Must-Have Skills

• Strong Python programming
• GCP & Vertex AI Mandatory
• Agentic AI / Multi-Agent Systems (MAS)
• Google ADK (Agent Development Kit) or similar frameworks
• Sequential & loop-based agent workflows
• AI Evaluation Precision, Recall, F1, trajectory analysis & faithfulness
• LLM concepts – SFT, CoT & ReAct
• Multi-agent architecture & data processing
• Agent deployment on cloud
• Human-in-the-Loop (HITL) workflows
• Interrupt & Resume patterns
• Debugging & Root Cause Analysis (RCA)
• Strong communication & customer collaboration skills

Good-to-Have Skills

• A2A / MCP
• CI/CD for Multi-Agent applications
• LLM integration with Knowledge Graphs
• Agent memory / Memory Bank
• Agile development experience