GCP Developer

Tekskills; New Delhi; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Tekskills is hiring a GenAI/NLP engineer to develop and deploy AI solutions on Google Cloud, focusing on Vertex AI and Agentic workflows. You will build end-to-end LLM-based applications, pipelines, and automation, while fine-tuning models and orchestrating them via GCP APIs.

The role requires strong GCP hands-on experience, experience with Python and APIs, and collaboration with product, data, and engineering teams to scale AI across systems.

Qualifications

• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in Vertex AI or other GCP GenAI 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).

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.

Skills

GCP expertise

Vertex AI

Agentic AI workflows

LLM apps

Python

APIs

CI/CD

Data engineering on GCP

Tools

BigQuery

Storage

Pub/Sub

Cloud Functions

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).