Gen AI Developer | 4–6 Years | New Delhi

4 days ago


Delhi, Delhi, India Unicorn Workforce Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Job Title:
Gen AI Developer

Experience Range:
4–6 Years

Location:
New Delhi (Onsite)

Engagement Type:
Contract – 4 Months

Job Description

We are looking for a skilled
Gen AI Developer
to support AI-driven application development and data processing initiatives within the GCP ecosystem. The ideal candidate will have strong hands-on experience with
Google Cloud services
, particularly BigQuery, Cloud Storage, Cloud Functions, and Cloud SQL, along with an understanding of translation or language-processing workflows.

This role involves building, optimizing, and deploying AI-enabled solutions, integrating data pipelines, and ensuring seamless performance across cloud components. Candidates must be comfortable working onsite in a fast-paced, innovation-focused environment.

Key Responsibilities

  • Develop and deploy
    Gen AI / LLM-based solutions
    on GCP.
  • Work extensively with
    BigQuery
    for data ingestion, transformation, and analytics.
  • Build serverless workflows using
    GCP Cloud Functions
    .
  • Integrate and manage data pipelines involving
    Cloud Storage
    and
    Cloud SQL
    .
  • Implement and optimize ML/AI models for real-time or batch inference.
  • Collaborate with cross-functional teams on AI-driven use cases and POCs.
  • Ensure end-to-end performance, reliability, and scalability of AI applications.
  • Apply translation or multilingual text-processing knowledge where applicable.
  • Document technical workflows and maintain solution integrity throughout the project lifecycle.

Required Skills & Qualifications

  • 4–6 years of experience in
    AI/ML, Gen AI, or backend development
    with cloud integration.
  • Strong expertise in:
  • BigQuery
  • GCP Cloud Storage
  • GCP Cloud Functions
  • Cloud SQL
  • Hands-on experience building APIs, serverless functions, and data pipelines.
  • Familiarity with
    translation workflows, NLP, or text-processing concepts
    is a strong plus.
  • Proficiency in programming languages such as
    Python
    or

    .
  • Understanding of ML model deployment, fine-tuning, or LLM frameworks is beneficial.
  • Strong analytical, problem-solving, and communication skills.

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