HubMub
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Virtusa

AI Engineer

Virtusa
Australia · Full-time · Associate
Role Overview

The Agentic AI Engineer will be responsible for developing, optimizing, and deploying AI-powered autonomous agents on GCP. This role involves fine-tuning LLMs, designing AI workflows, integrating APIs, and building scalable AI applications using GCP’s AI/ML tools.

Key Responsibilities

  • Develop agentic AI solutions using LangChain, AutoGen, CrewAI, and OpenAI APIs on GCP.
  • Fine-tune LLMs (PaLM 2, Gemini, GPT) on Vertex AI for enterprise-specific applications.
  • Implement multi-agent collaboration frameworks for intelligent automation and orchestration.
  • Optimize vector search, embeddings, and retrieval mechanisms using Vertex AI Matching Engine and FAISS.
  • Integrate AI agents with APIs, microservices, and event-driven architectures using Cloud Functions and Cloud Run.
  • Design and implement data pipelines for AI workflows using BigQuery, Dataflow, and Cloud Composer.
  • Work with Vertex AI Pipelines to manage ML model training, deployment, and continuous monitoring.
  • Develop real-time AI applications leveraging Pub/Sub, Dataflow, and Cloud AI services.
  • Implement observability, logging, and monitoring mechanisms for AI models in production.
  • Collaborate with AI architects, ML engineers, and data scientists to optimize AI model performance.

Required Skills & Experience

  • 7+ years in AI/ML development, software engineering, or data science.
  • Strong experience with Python, LangChain, AutoGen, CrewAI, OpenAI API, and GCP AI tools.
  • Expertise in LLMs, prompt engineering, RAG, embeddings, and hybrid search techniques.
  • Hands-on experience with vector databases (Vertex AI Matching Engine, Pinecone, Weaviate, ChromaDB).
  • Experience with Google Cloud Functions, Cloud Run, and Pub/Sub for event-driven AI applications.
  • Familiarity with workflow orchestration tools like Cloud Composer (Airflow).
  • Strong understanding of Google Cloud IAM, security best practices, and AI governance.
  • Experience deploying AI models on GPUs/TPUs using GCP AI infrastructure.

Preferred Qualifications

  • Experience with MLOps & LLMOps using Vertex AI Pipelines and Model Monitoring.
  • Hands-on experience fine-tuning LLMs on domain-specific datasets.
  • Knowledge of ethical AI, bias detection, and model interpretability.
  • Contributions to open-source AI/ML projects or research papers.

Key Skills

Ranked by relevance

ai cloud gcp microservices composer python mlops
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Country Guide

Australia

Skilled migration pathways & strong salaries

Posted
Mar 27, 2025
Type
Full-time
Level
Associate
Location
Melbourne
Company
Virtusa

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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