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Niveus Solutions

Cloud Engineer- Gen Ai

Niveus Solutions

Mangaluru, Karnataka, India
Full-Time
Posted 17 days ago

Job Description & Responsibilities

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

  • Develop and deploy scalable Generative AI and LLM-based solutions on Google Cloud Platform including (GECX/CCAI) platform.
  • Build and enhance AI applications leveraging LLMs, and prompt engineering techniques.
  • Implement Retrieval-Augmented Generation (RAG) systems using vector databases such as Vertex Matching Engine, Pinecone, or Chroma.
  • Integrate AI models with business applications and build scalable APIs (e.g., FastAPI, Flask) and microservices.
  • Collaborate with cross-functional teams, including data scientists and product managers, to define and implement GenAI strategies.

Required Skills

  • Experience: Typically 3 - 5 years in Generative AI and LLMs.
  • Programming: Strong proficiency in Python is mandatory, including OOP concepts and best coding practices.
  • 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.

  • AI Frameworks: Familiarity with LLM frameworks and libraries such as Google ADK, LangChain, LlamaIndex, .
  • AI Techniques: Strong understanding of RAG architectures, prompt engineering, model optimization, and performance evaluation methodologies.
  • 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

Mangalore / Udupi / Bangalore

Years Of Exp

3 to 5 years

Posted On

06-Aug-2026

Required Skills

PythonAWSGCPDockerKubernetesCI/CDTerraformMachine Learning

Job Details

Employment TypeFull-Time
Work ModeOn-Site
Experience3 – 5 years
Positions1

Posted by

N/A

Posted on:

22 Sept 2026

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