Gen AI Developer

Virtusa Corp

  • Tampa, FL
  • 8 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationTampa, FL

    Description

    Job Requirements

    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.
    1. 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.

    Work Experience

    10-15Years

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