We are seeking a skilled Cloud Engineer with experience in Generative AI to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining cloud-based solutions that leverage artificial intelligence technologies. You will work closely with cross-functional teams to integrate generative AI capabilities into our existing infrastructure and drive innovation through cloud technologies.
Department: Data Modernization
Open Positions: 1
Skills Required: Python Programming, Generative AI & Large Language Models (LLMs), Google Cloud Platform (Vertex AI, BigQuery ML), RAG Architecture & Prompt Engineering, LangChain/LlamaIndex/Google ADK Frameworks
Role:
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Develop and deploy scalable Generative AI and LLM-based solutions on Google Cloud Platform including GECX/CCAI
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Build and enhance AI applications leveraging LLMs, and prompt engineering techniques.
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Implement Retrieval-Augmented Generation (RAG) systems using vector databases such as Vertex Matching Engine, Pinecone, or Chroma.
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Integrate AI models with business applications and build scalable APIs (e.g., FastAPI, Flask) and microservices.
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Collaborate with cross-functional teams, including data scientists and product managers, to define and implement GenAI strategies.
Required Skills
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Experience: Typically 3 - 5 years in Generative AI and LLMs.
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Programming: Strong proficiency in Python is mandatory, including OOP concepts and best coding practices.
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GCP Expertise: Hands-on experience with the GCP ecosystem is essential,
including Vertex AI (Model Garden, tuning, pipelines), BigQuery ML, and other relevant AI/ML services.
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AI Frameworks: Familiarity with LLM frameworks and libraries such as Google ADK, LangChain, LlamaIndex, .
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AI Techniques: Strong understanding of RAG architectures, prompt engineering, model optimization, and performance evaluation methodologies.
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Infrastructure: Experience with MLOps practices, CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure automation tools like Terraform is a plus.
Relevant certifications in cloud platforms are a plus (e.g., AWS Certified Solutions Architect, Google Professional Cloud Architect).
Location:
Mangaluru / Udupi / Bangalore
Years Of Exp: 3 to 5 years
Posted On: 20-Aug-2026
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