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Gen AI Developer @ Virtusa

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 Gen AI Developer

Job Description

Primary skills : Gemini Agent space, Experience in running AI services, vibe coding(Cursor), Vertex, Vector DB

  • Secondary skills : Multi cloud experience (AWS)

    • Key Responsibilities:

  • Design, implement, and optimize end-to-end RAG pipelines for critical business use cases, focusing on retrieval quality and scalability.
  • Develop robust, scalable GenAI solutions using Google Cloud''s Vertex AI ecosystem (including Vertex AI Workbench, Feature Store, and MLOps tools).
  • Implement advanced RAG techniques, including strategic chunking, semantic boundary detection, negative sampling, and retrieval quality optimization.
  • Engineer and deploy multi-agent systems and autonomous AI solutions.
  • Ensure the production readiness of all AI systems by designing and implementing multi-layered security, PII redaction, input/output guardrails (toxicity, bias mitigation, factuality checks), and audit logging.
  • Establish A/B testing, human evaluation processes, and define standard RAG metrics (e.g., Pr******n@*, Re***l@*) to measure and improve model performance.
  • Collaborate with engineering teams to ensure seamless deployment and operational excellence in a cloud-native environment.
  • Required Technical Skills Experience:
  • 5+ years of overall IT experience with a minimum of 2+ years of deep, hands-on experience in AI/ML engineering, specifically in Generative AI and LLMs.
  • Expertise in Google Cloud Platform services (GCP) for AI, including Vertex AI, BigQuery, Dataflow, and Cloud Run/Kubernetes. Hands on exposure to using GCP services for storage, serverless-logic, search, transcription, and chat.
  • Proven ability to design and operate RAG-at-scale.
  • Experience in Integration with MCP
  • Deep technical understanding of vector databases, dimensionality trade-offs, similarity metrics, and advanced reranking strategies.
  • Strong proficiency in Python, including modern AI/ML frameworks like LangChain, LangGraph, and/or CrewAI.
  • Must be proficient with AI-assisted development tools like Cursor and have demonstrable experience integrating and programming with large language models such as Anthropic''s Claude.
  • Experience implementing MLOps best practices, CI/CD, and deployment automation.
  • Excellent problem-solving skills, particularly for debugging issues across the RAG lifecycle (chunking, embeddings, retrieval, LLM response

    • Job Classification

    Industry: Banking
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Data Platform Engineer
    Employement Type: Full time

    Contact Details:

    Company: Virtusa
    Location(s): Hyderabad

    + View Contact

    Keyskills:   Ai Automation Generative Ai Use Cases Bigquery Ai Solutions Debugging Google Cloud Platform Programming Cloud Platform Llm Trade Language Models Gcp Vector Databases Cloud Ai Services Aws Mlops Cloud Native Python Kubernetes Ml

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    Virtusa

    At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our compute, cloud, mobility, networking and security offerings form a digital founda...

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