AI Engineer – AgentQ

Virtusa

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

Posted 11/12/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining AI agent workflows, integrating backend systems, and ensuring quality through automated testing and performance evaluations. Proficient in Python software engineering and familiar with LLM-powered applications and REST API development.

Highest-signal resume keywords

Python Software EngineeringLLM-Powered Application DevelopmentREST API DevelopmentRAG Pipeline ConstructionProblem-Solving Mindset

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonREST APIsAsynchronous ProgrammingJSON SchemasAutomated TestingBenchmarkingDebuggingAgent WorkflowsData Retrieval PipelinesQuality Evaluations

Soft Skills

Problem-Solving MindsetAbility to Iterate Quickly

Tools & Technologies

LangChainLlamaIndexOpenAI APIAnthropic APIMosaic AI APIFastAPIFlaskDatabricksAWSAzure

Industry Keywords

AI Agent WorkflowsVector DatabasesEmbeddingsCloud Data EnvironmentsCross-Functional Engineering

Tech Stack

Tools & technologies

AWSAzureCloudFlaskPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Full-time employment
Remote work arrangement