4 days ago
Remote, United StatesMid Level
H1B sponsor
Responsibilities
- Develop, configure, and maintain AgentQ AI agent workflows, prompt chains, and tool/function-calling integrations.
- Build backend connectors, REST APIs, and RAG data retrieval pipelines linking enterprise data sources and vector stores to agent workflows.
- Create automated test suites, benchmark datasets, and evaluation systems for agent accuracy, latency, and guardrail compliance.
- Debug edge cases, monitor production agent runs, and improve prompts, retrieval parameters, and fallback logic.
- Document agent architectures, API interfaces, and operational runbooks for engineering teams.
Requirements
- At least 2 years of hands-on Python software engineering or applied AI/LLM development experience.
- Practical experience building LLM-powered applications, RAG pipelines, or agent workflows using tools such as LangChain, LlamaIndex, or model APIs.
- Backend fundamentals including REST APIs, FastAPI or Flask, JSON schemas, asynchronous programming, and Git workflows.
- Familiarity with vector databases, embeddings, and basic SQL or cloud data environments such as Databricks, AWS, or Azure.
- Strong problem-solving skills and ability to iterate based on evaluation metrics and user feedback.
Benefits
- Remote position.
- During onboarding, working hours may be adjusted to overlap with US hours until 7:00 PM at the latest.
About Virtusa
Virtusa is a global IT services and consulting firm that builds and runs digital platforms, applications, and cloud systems for large enterprises. It sells project-based engineering, systems integration, and managed services across industries such as financial services, healthcare, and telecommunications. Founded in 1996 and headquartered in Southborough, Massachusetts, Virtusa is privately held and owned by BPEA EQT after previously trading on NASDAQ.