AI/ML Engineer

🕒 May 8

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 55%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Build and integrate GenAI applications, APIs, agents, and tools • Develop RAG and LLM-based solutions using Python and LangChain/LangGraph • Integrate AI solutions with enterprise applications and data sources • Deploy and maintain AI applications on AWS • Implement testing, monitoring, security, and production-grade engineering practices • Work with AI Scientists to productionize AI/ML solutions

🎯 Requirements

• 5-7 years of software engineering, machine learning engineering, or AI engineering experience • Strong proficiency in Python • Hands-on experience developing and deploying GenAI, Agentic AI, or LLM-powered applications • Experience with agent orchestration frameworks such as LangChain/LangGraph • 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 • Experience with vector databases and SQL • Strong experience with Docker, containerization, and cloud-native application development • 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