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# Gen AI Developer

- **Company:** Virtusa Corporation
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Memory Management, JSON, Language Modeling, Open Source Technology, OpenAI, Openapi, Transfer Learning, Open-source Models, Large Language Models, Multi-Agent Systems, Google Vertex AI, Qwen, Caching, Generative AI, Agentic-AI, Optimization Algorithms, CrewAI, AutoGen, Invoking Functions, Model Context Protocol, Semantic Kernel, Human in the Loop
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/gen-ai-developer-tampa-fl--56ddf121-f1be-40b3-b262-c9e1825508d9

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Technical/Engineering Design, Modeling Languages, Application Programming Interface (API), Open Source, JSON, Management Strategy, Caching, Kernel Programming

## Description

Citi 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:

 1. 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.

 2. 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.