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AI Engineer (AgentQ)

Virtusa

Role overview

Summary

This role focuses on supporting the development and deployment of AgentQ workflows. You will collaborate with Senior Agentic AI Engineers and backend teams to enhance AI automation through building tools and integrations.

Qualifications

  • 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.
  • Solid backend engineering fundamentals: REST APIs, JSON schemas, asynchronous programming, and Git workflows.
  • Familiarity with vector databases, embeddings, and basic SQL/cloud data environments.
  • Preferred: Strong problem-solving mindset and ability to iterate quickly based on evaluation metrics and user feedback.

Responsibilities

  • Develop, configure, and maintain AI agent workflows, prompt chains, and tool/function-calling integrations for AgentQ.
  • Build backend connectors, REST APIs, and lightweight data retrieval pipelines linking enterprise data sources and vector stores with agent workflows.
  • Create and run automated test suites, benchmark datasets, and quality evaluations to measure agent accuracy, latency, and guardrail compliance.
  • Document agent architectures, API interfaces, and operational runbooks for cross-functional engineering teams.

Key facts

  • Remote from: United States
  • Full time
  • Mid-level (2-5 years)
  • AI Engineer
  • English

Hard skills

Other skills

  • Problem Solving

About the company

Virtusa logo

Virtusa

  • IT Services & Consulting
  • 10,001+
Virtusa Corporation is a global provider of Digital Business Transformation, Digital Engineering, and Information Technology (IT) outsourcing services that accelerate our clients’ journey to their Digital Future. Virtusa serves Global 2000 companies in Banking, Financial Services, Insurance, Healthcare, Telecommunications, Media, Entertainment, Travel, Manufacturing, and Technology industries. Using a combination of digital strategy, digital engineering, business implementation, and IT platform modernization services, Virtusa helps clients execute successful end-to-end digital business transformation initiatives. Virtusa engages its clients to re-imagine their business models and develop strategies to defend and grow their business by introducing innovative products and services, developing distinctive digital consumer experiences, creating operational efficiency using digital labor, developing operational and IT platforms for the future, and rationalizing and modernizing their existing IT applications infrastructure. As a result, its clients are simultaneously able to drive business growth through digital-first customer experiences, while also consolidating and modernizing their IT application infrastructure to support digital business transformation. Holding a proven record of success across industries, Virtusa readily understands its clients' business challenges and uses its domain expertise to deliver innovative applications of technology to address its clients’ critical business challenges. Examples include building the world's largest property & casualty claims modernization program; one of the largest corporate customer portals for a premier global bank; an order to cash implementation for a multinational telecommunications provider; and digital transformation initiatives for media and banking companies. Founded in 1996 and headquartered in Massachusetts, Virtusa has operations in North America, Europe, and Asia.
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Job description

This is a remote position.

We are seeking two AI Engineers to support the development, integration, testing, and deployment of AgentQ workflows. Working closely with our Senior Agentic AI Engineers and backend teams, you will build agent tools, API connectors, prompt pipelines, and automated evaluation suites to bring reliable AI automation into production.

Key Responsibilities:

  • Develop, configure, and maintain AI agent workflows, prompt chains, and tool/function-calling integrations for AgentQ.

  • Build backend connectors, REST APIs, and lightweight data retrieval pipelines (RAG) linking enterprise data sources and vector stores with agent workflows.

  • Create and run automated test suites, benchmark datasets, and quality evaluations to measure 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 Schedule: During the onboarding phase, working hours may be adjusted to overlap with US hours until 7:00 PM at the latest.

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 (e.g., LangChain, LlamaIndex, OpenAI/Anthropic/Mosaic AI APIs).

  • Solid backend engineering fundamentals: REST APIs (FastAPI/Flask), JSON schemas, asynchronous programming, and Git workflows.

  • Familiarity with vector databases, embeddings, and basic SQL/cloud data environments (Databricks, AWS, or Azure).

  • Strong problem-solving mindset and ability to iterate quickly based on evaluation metrics and user feedback.



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