Data Scientist - GenAI

PYOR • Developer Tools • Python • 2 days ago
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Salary
≈ $22k – $46k per year (Estimated)
Location
Hybrid (Bengaluru, Kolkata, Pune, India)
Experience
5+ years exp

First seen by Alion on Oct 23, 2026.

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PYOR

PYOR (Power Your Own Research) - We help protocols and DAOs make clear decisions with custom dashboards, in-depth analytics, and custom developer tools.
pyor.xyz • HQ: Bengaluru, India • Developer Tools
Backed by Antler

We are looking for experienced Generative AI Engineers with strong expertise in Google Cloud Platform (GCP) and Vertex AI to design, develop, and deploy enterprise-grade AI applications. The ideal candidate should have hands-on experience with LLMs, prompt engineering, RAG, AI agents, and deploying GenAI solutions on GCP.


Responsibilities:

  • Design, develop, and deploy GenAI applications using Google Vertex AI.
  • Build scalable AI solutions leveraging LLMs (Gemini/OpenAI/Llama/Claude).
  • Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases.
  • Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or ADK.
  • Fine-tune foundation models and optimize prompts for enterprise use cases.
  • Integrate GenAI solutions with enterprise applications through REST APIs.
  • Deploy AI workloads on GCP using Cloud Run, GKE, Cloud Functions, or Vertex AI Endpoints.
  • Collaborate with cross-functional teams to deliver production-ready AI solutions.
  • Optimize model performance, scalability, security, and cost.


Requirements:

  • Education: B. E. /B. Tech (Mandatory)
  • Strong experience in Python.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Expertise in Vertex AI (Mandatory).
  • Experience with LLMs such as Gemini, OpenAI GPT, Llama, Claude, etc.
  • Strong knowledge of prompt engineering.
  • Experience in RAG architecture and vector databases (Pinecone, FAISS, ChromaDB, Weaviate, and Vertex AI Vector Search).
  • Experience with LangChain/LangGraph/CrewAI/AutoGen/Google ADK.
  • Understanding of REST APIs and microservices.
  • Familiarity with Git, CI/CD, Docker, and Kubernetes.


Preferred Skills:

  • Experience with BigQuery, Cloud Storage, Cloud Functions, Cloud Run, and GKE.
  • Knowledge of ML lifecycle and MLOps.
  • Exposure to Agentic AI and Multi-Agent Systems.
  • Experience with evaluation frameworks such as LangSmith, Promptfoo, or TruLens.
  • Good understanding of cloud security and AI governance.


Mandatory Requirements:

  • B. E. / B. Tech (Mandatory).
  • Strong hands-on experience in GCP + Vertex AI.
  • Experience building enterprise GenAI applications.
  • Immediate joiners or candidates serving a notice period are preferred.
  • Willing to work in hybrid mode from PAN India locations.

Skills

GCP, Google Cloud Platform, Python, Vertex AI

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