AI Engineer – AgentQ

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

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• Just posted.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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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

• Develop, configure, and maintain AI agent workflows, prompt chains, and tool/function-calling integrations for AgentQ • Build backend connectors, REST APIs, and lightweight RAG data retrieval pipelines linking enterprise data sources and vector stores with agent workflows • Create and run automated test suites, benchmark datasets, and quality evaluations measuring agent accuracy, latency, and guardrail compliance • Debug edge cases, monitor production agent runs, and iterate on prompts, retrieval parameters, and fallback logic • Document agent architectures, API interfaces, and operational runbooks for cross-functional engineering teams • Work closely with Senior Agentic AI Engineers and backend teams to support development, integration, testing, and deployment of AgentQ workflows

🎯 Requirements

• 2+ years of hands-on experience in Python software engineering or applied AI/LLM development • Practical experience building LLM-powered applications, RAG pipelines, or agent workflows, including tools such as LangChain, LlamaIndex, OpenAI, Anthropic, or Mosaic AI APIs • Solid backend engineering fundamentals, including REST APIs with FastAPI or Flask, JSON schemas, asynchronous programming, and Git workflows • Familiarity with vector databases, embeddings, and basic SQL/cloud data environments such as Databricks, AWS, or Azure • Strong problem-solving mindset and ability to iterate quickly based on evaluation metrics and user feedback • Ability to work adjusted hours during onboarding, overlapping with US hours until 7:00 PM at the latest

🏖️ Benefits

• Full-time employment • Remote work arrangement

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