Senior GenAI Engineer — LLM, RAG & AI Governance

Virtusa; Irving (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Virtusa seeks a senior Python/GenAI engineer to design, implement, and govern LLM-based solutions in hybrid/cloud environments. You will work across microservices, APIs, and distributed systems to deliver secure, scalable AI-enabled applications and ensure production readiness with CI/CD and observability.

You will review AI-generated code, optimize performance, and manage cost efficiency while upholding enterprise security standards and governance practices.

Qualifications

• 10–12 years hands-on Python experience.
• Proven experience delivering LLM/GenAI solutions (RAG, orchestration, prompt engineering).
• Strong understanding of microservices, APIs, distributed systems, and enterprise integration patterns.
• Experience reviewing and governing AI-assisted/GenAI-generated code.
• Strong secure coding practices and performance optimization.
• Experience with cloud-native or hybrid environments, containers and orchestration platforms.
• Exposure to CI/CD pipelines, observability, and production support models.
• Understanding of AI governance concepts such as bias, explainability, auditability, and model risk controls.

Skills

Python

LLM / GenAI

Microservices

APIs

Distributed systems

AI governance

Secure coding

Performance optimization

Containerization / cloud-native

CI/CD / Observability / Production

Cost optimization

Job description

Virtusa seeks a senior Python/GenAI engineer to design, implement, and govern LLM-based solutions in hybrid/cloud environments. You will work across microservices, APIs, and distributed systems to deliver secure, scalable AI-enabled applications and ensure production readiness with CI/CD and observability.

You will review AI-generated code, optimize performance, and manage cost efficiency while upholding enterprise security standards and governance practices.