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GenAI / Machine Learning Engineer - VOIS

India, Pune · Job Posted June 03, 2026
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Job Description

We are seeking a GenAI / ML Engineer with 3-4 years of overall professional experience and at least 1 year of hands-on domain exposure in AI/ML, Generative AI, data engineering, cloud engineering, or enterprise AI solutions. This role focuses on building production-grade Generative AI capabilities such as Natural Language to SQL, Retrieval-Augmented Generation (RAG), LLM-based workflows, and AI-powered chatbots for enterprise users. The individual will work on scalable, cloud-based AI systems using Python, SQL, GCP, APIs, and modern GenAI engineering patterns.

Job Responsibility

  • Design, develop, and enhance GenAI and ML-based solutions for enterprise business use cases
  • Build and improve Natural Language to SQL and Retrieval-Augmented Generation based chatbot capabilities
  • Develop and maintain Python-based backend services, APIs, and AI workflows supporting LLM-driven applications
  • Work with Google Cloud Platform services to build, deploy, and optimise scalable, cloud-native AI applications
  • Improve retrieval quality, prompt orchestration, SQL generation accuracy, chatbot response quality, and overall solution performance
  • Collaborate with internal stakeholders to translate business requirements into scalable AI/ML product capabilities
  • Contribute to testing, evaluation, monitoring, documentation, and production-readiness of GenAI solutions
  • Support continuous improvement of AI engineering practices, including prompt design, evaluation frameworks, observability, and responsible AI usage

Requirements

  • 3-4 years of overall experience in software engineering, AI/ML engineering, data engineering, cloud engineering, or related technology roles
  • At least 1 year of relevant domain experience in areas such as Generative AI, LLM-based applications, NLP or conversational AI, data or analytics engineering, cloud-native development, or enterprise chatbot platforms
  • Strong hands-on experience with Python for application development, automation, AI/ML workflows, or backend services
  • Working knowledge of machine learning and Generative AI concepts, including LLMs, embeddings, prompts, and RAG-based patterns
  • Comfortable working with SQL and enterprise datasets to support analytical and data-driven use cases
  • Good working knowledge of Google Cloud Platform or similar cloud environments
  • Experience developing or integrating APIs and backend or cloud-based applications
  • Ability to debug, test, and optimise AI/ML or data-driven solutions for accuracy, reliability, and performance
  • Communicate effectively with both technical and business stakeholders and work collaboratively across teams

What we offer

  • Opportunity to work on production-grade Generative AI solutions with direct business impact
  • Hands-on exposure to modern GCP services, cloud-native deployment patterns, and enterprise-scale AI architectures
  • Experience across LLMs, RAG, Natural Language to SQL, enterprise data platforms, APIs, and chatbot engineering
  • A high-visibility role with clear growth pathways into senior engineering, technical leadership, solution architecture, or AI product ownership roles
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