Lead Software Engineer

Virtusa Corporation; Tampa (FL); On-site; USD 120,000 - 190,000; Full time

Job summary

Virtusa Corporation seeks a Senior AI Developer to lead Generative AI, Agentic AI architectures and enterprise RAG pipelines. You will design, build and deploy scalable LLM applications and autonomous multi-agent systems across complex enterprise challenges.

Responsibilities include architecting foundation-model apps with commercial and open-source models, implementing prompt patterns, context management, PEFT, quantization, and robust evaluation guardrails, and guiding tool use and

Qualifications

• Experience designing and deploying large-scale LLM-powered solutions for enterprise use.
• Hands-on with multi-agent workflows and retrieval-augmented generation pipelines.
• Strong background in prompt engineering, structured outputs, and validation schemas.

Responsibilities

• Generative AI & LLM engineering and deployment.
• Architect, fine-tune and deploy foundation model apps using commercial and open-source models.
• Design robust prompt patterns, context/window management, and validation schemas.
• Implement optimization techniques (PEFT/LoRA, quantization) for latency and cost.
• Design and orchestrate deterministic autonomous multi-agent workflows.
• Enable tool use, planning, memory management, and HITL gates; adopt MCP & OpenAPI-driven tooling.

Skills

Generative AI

LLM Engineering

Agentic AI

Prompt engineering

JSON/Pydantic validation

Evaluation guardrails

Tools

OpenAI API

Anthropic API

Vertex AI

LangGraph

CrewAI

AutoGen

Semantic Kernel

Llama

Mistral

Qwen

Job description

We are seeking an experienced and visionary Senior AI Developer specializing in Generative AI, Agentic AIArchitectures, and Enterprise Retrieval-Augmented Generation (RAG) systems. In this role, you will be responsible for designing, building, and deploying cutting-edge AI-powered solutions, multi-agent workflows,and intelligent semantic retrieval pipelines that solve complex enterprise challenges.

You will lead the technical design and end-to-end implementation of scalable Large Language Model (LLM)applications, autonomous agentic systems, vector search backends, and robust evaluation guardrails.

Responsibilities

• Generative AI & LLM Engineering
• Architect, fine-tune, and deploy foundation model applications utilizing commercial APIs (e.g., OpenAI,Anthropic, Google Vertex AI) and open-source models (e.g., Llama, Mistral, Qwen).
• Design robust prompt engineering patterns, structured output schemas (JSON/Pydantic validation), modelrouting, and context window management strategies.
• Implement optimization techniques including parameter-efficient fine-tuning (PEFT/LoRA), quantization,caching, and model distillation for latency and cost efficiency.
• Agentic AI & Autonomous Systems
• Design and orchestrate deterministic and autonomous multi-agent workflows using modern frameworks (e.g.,LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom state-machine engines).
• Build sophisticated agent capabilities including tool use/function calling, multi-step planning, reflection/self-correction loops, memory management (short-term, long-term, working memory), and human-in-the-loop(HITL) approval gates.Implement protocol standards such as Model Context Protocol (MCP) and OpenAPI-driven tool execution.