GCP Developer

Tekskills

Dadri

On-site

INR 1,800,000 - 2,400,000

Full time

6 days ago
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Job summary

Tekskills is seeking a skilled AI engineer to design and deploy GenAI solutions on Google Cloud Platform, with a focus on Vertex AI.

You will build LLM apps, AI pipelines, and agentic workflows, fine-tune models, and integrate AI into existing data systems.

Collaborate with product, data, and engineering teams, evaluate new GCP AI offerings, and apply best practices.

Qualifications

  • Hands-on GCP experience required.
  • Expertise with Vertex AI or GenAI on GCP.
  • Experience building AI workflows and LLM apps.

Responsibilities

  • Develop and deploy GenAI and Agentic AI solutions on GCP.
  • Build LLM-based applications, pipelines, and automation with Vertex AI.
  • Fine-tune and orchestrate models using GCP AI APIs.
  • Integrate AI solutions into existing applications and data systems.
  • Collaborate with product, data, and engineering teams to scale AI solutions.
  • Evaluate new GCP AI offerings and apply best practices.

Skills

GCP hands-on experience
Vertex AI / GenAI on GCP
Agentic AI workflows / LLM apps
Python programming
APIs / CI/CD
BigQuery / Storage / Pub/Sub

Tools

Cloud Functions
BigQuery
Pub/Sub
Storage

Job description

Job Summary

Notice Period: Immediate

Responsibilities
  • Develop and deploy GenAI and Agentic AI solutions using GCP services
  • Build LLM-based applications, pipelines, and automation using Vertex AI
  • Fine-tune and orchestrate models using GCP AI APIs
  • Integrate AI solutions into existing applications and data systems
  • Work with product, data, and engineering teams to build scalable AI solutions
  • Evaluate new GCP AI offerings and apply best practices
Requirements
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Expertise in Vertex AI or other GCP GenAI / AI capabilities
  • Experience building Agentic AI workflows, LLM apps, AI pipelines
  • Knowledge of Python, APIs, Cloud Functions, CI/CD
  • Familiarity with data engineering on GCP (BigQuery, Storage, Pub/Sub preferred).
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