AI/ML Engineer

🕒 May 8

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Virtusa

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

💰 $108M Post-IPO Equity - Virtusa on 2017-05

Consulting • Enterprise • Artificial Intelligence

Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.

📋 Description

• Design, develop, test, and deploy production-ready Agentic AI and GenAI services • Build and maintain AI agent workflows using LangGraph, Pydantic AI, AG2, LangChain, or similar technologies • Develop scalable APIs and microservices using FastAPI and related frameworks • Implement containerized solutions using Docker and support deployment across cloud environments • Collaborate with data scientists, product owners, and business stakeholders to translate requirements into robust AI solutions • Establish engineering best practices, including code reviews, testing, CI/CD pipelines, and Git-based development workflows • Monitor, troubleshoot, and optimize AI applications for reliability, performance, and scalability • Create clear technical documentation and maintain high-quality, maintainable code

🎯 Requirements

• 5–7 years of software engineering, machine learning engineering, or AI engineering experience • Strong proficiency in Python and modern software engineering principles • Hands-on experience developing and deploying GenAI, Agentic AI, or LLM-powered applications • Experience with agent orchestration frameworks such as LangGraph, Pydantic AI, AG2, AutoGen, CrewAI, or similar technologies • Solid understanding of Retrieval-Augmented Generation (RAG), prompt engineering, tool calling, agent memory, and multi-agent architectures • Experience building RESTful APIs using FastAPI or equivalent frameworks • Strong experience with Docker, containerization, and cloud-native application development • Familiarity with Azure services, including Azure OpenAI, Azure AI Foundry, Azure ML, Azure Functions, App Services, or similar platforms • Experience implementing CI/CD pipelines and Git-based development workflows • Strong debugging, problem-solving, and performance optimization skills • Excellent communication and collaboration skills within cross-functional teams