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Generative AI Engineer

Infogain

Nadiad · Hybrid Full-time Mid Level 2w ago

About the role

We’re Hiring | Generative AI Specialist | PAN India | 8-13 Years

Exciting opportunity with Infogain for experienced professionals passionate about Generative AI & Knowledge Discovery Solutions !

Experience: 8–13 Years

Grade: G4

Location: PAN India

Interview Process: HR Screening → Case Study → Tech Round → Managerial Round

Role Overview

We are seeking a motivated and innovative individual specializing in Generative AI to enhance the analytics backend of flagship products and drive intelligent knowledge discovery solutions. If you enjoy solving complex problems and building AI solutions at scale, this role is for you!

✅ Required Skills • Bachelor’s in Computer Science or Master’s in Statistics/Economics/OR (or related fields) • 7–10 years in Analytics/Data Science/Software Development • Strong Python programming expertise • Hands-on experience with Generative AI tools & techniques • Semantic Graph concepts & Knowledge Graph experience • ETL, data cleaning, imputation & outlier handling • Cloud platforms (AWS/Azure/GCP) with AI/ML services • Experience deploying AI/ML solutions in production • Agentic application architectures & frameworks • AI-driven automation & intelligent product enhancements • Knowledge base creation, context engineering & MCP tools integration • Strong stakeholder communication skills

⭐ Desirable Skills • NLP & advanced GenAI techniques • Prompt Engineering • RAG, Corrective RAG & Knowledge Graph-based RAG (GPT-4o) • LORA/QLORA fine-tuning • Multi-agent frameworks • Rerankers for RAG optimization • Evaluation frameworks (G-Eval, etc.) • Deep Learning, ML techniques (Ensemble, SVM, NLP) • Scalability, performance & reliability of distributed data pipelines

Requirements

  • Bachelor’s in Computer Science or Master’s in Statistics/Economics/OR (or related fields)

Responsibilities

  • Enhance the analytics backend of flagship products
  • Drive intelligent knowledge discovery solutions
  • Solve complex problems and build AI solutions at scale
  • Deploy AI/ML solutions in production
  • Develop agentic application architectures and frameworks
  • Implement AI-driven automation and intelligent product enhancements
  • Create knowledge bases, perform context engineering, and integrate MCP tools

Skills

Generative AIPythonSemantic GraphKnowledge GraphETLData cleaningImputationOutlier handlingAWSAzureGCPAgentic application architecturesContext engineeringMCP tools integrationNLPPrompt EngineeringRAGCorrective RAGKnowledge Graph-based RAGGPT-4oLORAQLORAMulti-agent frameworksRerankersG-EvalDeep LearningEnsembleSVMDistributed data pipelines

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