AI Engineer

Role & responsibilities

Job Description: 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.

Good-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.