Role & responsibilities

: AI Engineer Agentic AI Development

Job Title: AI Engineer – Agentic AI Development

Experience: 6–8+ years overall experience (4–6+ years in AI development preferred)

Primary Skills: Agentic AI, Python, Google Cloud Platform (GCP), Vertex AI, Google ADK, AI Evaluation

Project Overview The project focuses on developing an enterprise-grade Agentic AI platform that leverages specialized Large Language Model (LLM) agents, orchestrated through an Agent Development Kit (ADK), to automate data retrieval, multi-step reasoning, hypothesis validation, and complex decision-making.

The platform incorporates Human-in-the-Loop (HITL) mechanisms to ensure autonomous agent actions align with organizational safety, accuracy, and compliance standards.

Key Responsibilities

- Design, develop, and implement sophisticated Multi-Agent Systems (MAS) using Google ADK or similar agent orchestration frameworks.
- Build and manage sequential, parallel, and loop-based agent workflows for complex reasoning and automated data processing.
- Architect Human-in-the-Loop (HITL) workflows with interrupt-and-resume capabilities for human validation and critical decision-making.
- Implement advanced agent reasoning patterns, including ReAct, Chain-of-Thought (CoT), and self-reflection, to improve output reliability.
- Develop and deploy AI agents and agent-based applications using Google Cloud Platform (GCP) and Vertex AI.
- Optimize long-context processing for large datasets while maintaining response coherence, accuracy, and consistency.
- Establish AI evaluation frameworks to assess agent performance using precision,



recall, F1 score, faithfulness, trajectory analysis, and defect classification accuracy.
- Perform debugging, root cause analysis (RCA), and continuous optimization of agent workflows and LLM outputs.
- Integrate LLMs with enterprise data sources and knowledge systems to support intelligent information retrieval and decision-making.
- Collaborate with customers, business stakeholders, and cross-functional engineering teams to deliver scalable AI solutions.
- Support CI/CD pipelines, deployment automation, testing, and monitoring for agent-based applications.

Mandatory Skills
- Strong programming experience in Python.
- Hands-on experience with Google Cloud Platform (GCP) and Vertex AI.
- Practical experience developing and deploying Agentic AI solutions.
- Experience with Google Agent Development Kit (ADK) or similar frameworks for building and orchestrating AI agents.
- Understanding of multi-agent architectures and sequential, iterative, and loop-based workflows.
- Experience with AI evaluation methodologies and metrics, including precision, recall, F1 score, and agent trajectory evaluation.
- Familiarity with LLM tuning and reasoning techniques, including Supervised Fine-Tuning (SFT), ReAct,



and Chain-of-Thought prompting.
- Experience in data analysis, data processing, and integration with LLM-based applications.
- Ability to debug complex AI workflows and perform root cause analysis.
- Experience deploying and maintaining AI agents in cloud environments.
- Familiarity with Human-in-the-Loop implementation, including interrupt-and-resume workflows.
- Strong communication, analytical, problem-solving, and customer collaboration skills.

Positive-to-Have Skills
- Experience with Agent-to-Agent (A2A) protocols and Model Context Protocol (MCP).
- Knowledge of CI/CD pipeline implementation for multi-agent frameworks.
- Experience integrating LLMs with knowledge graphs and enterprise knowledge bases.
- Familiarity with memory banks or persistent memory mechanisms for agent-to-agent communication.
- Experience with Agile development methodologies and collaborative software engineering practices.
- Understanding of production monitoring, AI safety, reliability, and performance optimization.

Qualifications and Experience
- 6–8+ years of overall relevant technical experience, with 4–6+ years of AI development experience preferred.
- Hands-on experience building, testing, and deploying agent-based AI applications.
- Experience delivering AI solutions on Google Cloud Platform, particularly Vertex AI.
- Practical exposure to Google ADK and multi-agent orchestration.
- Experience working in Agile development environments.
- Strong technical communication and customer-facing collaboration skills.

📌 AI Engineer (Bengaluru)
🏢 Cerebra
📍 Bengaluru