Sr. Gen AI Developer

Virtusa • Tampa, FL

12h

About The Position

We are seeking a highly experienced Sr. Gen AI Developer with a strong background in Python or Java and proven expertise in designing and delivering Large Language Model (LLM) and Generative AI (GenAI) solutions. The ideal candidate will have a solid understanding of microservices, APIs, distributed systems, and enterprise integration patterns, along with experience in reviewing and governing AI-assisted code. A strong foundation in secure coding practices and performance optimization is also essential. This role involves designing and implementing LLM-based solutions such as Retrieval-Augmented Generation (RAG), agents, copilots, and automation. You will also be involved in understanding the model lifecycle, inference pipelines, performance tuning, and cost optimization. Familiarity with AI governance concepts like bias, explainability, auditability, and model risk controls is crucial. Experience with cloud-native or hybrid environments, containers, orchestration platforms, CI/CD pipelines, observability, and production support models is expected. Knowledge of secure coding practices and enterprise security standards is also required.

Requirements

• 10-12 years of strong hands-on experience in Python or Java (mandatory).
• Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AI-assisted automation).
• Solid understanding of microservices, APIs, distributed systems, and enterprise integration patterns.
• Experience reviewing and governing AI-assisted / GenAI-generated code.
• Strong foundation in secure coding practices and performance optimization.
• Experience designing and implementing LLM-based solutions (RAG, agents, copilots, automation).
• Understanding of model lifecycle, inference pipelines, performance tuning, and cost optimization.
• Familiarity with AI governance concepts such as bias, explainability, auditability, and model risk controls.
• Experience with cloud-native or hybrid environments, containers, and orchestration platforms.
• Exposure to CI/CD pipelines, observability, and production support models.
• Knowledge of secure coding practices and enterprise security standards.

Responsibilities

• Design and deliver LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AI-assisted automation).
• Review and govern AI-assisted / GenAI-generated code.
• Implement LLM-based solutions (RAG, agents, copilots, automation).
• Tune model performance and optimize costs.
• Apply AI governance concepts such as bias, explainability, auditability, and model risk controls.
• Work with cloud-native or hybrid environments, containers, and orchestration platforms.
• Utilize CI/CD pipelines, observability, and production support models.
• Adhere to secure coding practices and enterprise security standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed