Artificial Intelligence Engineer(GCP)

Infinityquest It Services; Hyderabad, Pune City, Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Infinityquest It Services seeks a Senior AI Developer to design and implement enterprise-grade AI agents on GCP using ADK and Vertex AI.

You will build robust RAG pipelines, integrate LLMs with vector databases, and develop multi-agent workflows for autonomous decision-making in scalable environments.

Qualifications

• 8+ years of software development experience.
• 3+ years in Generative AI/LLM solutions.
• 2+ years of hands-on Vertex AI implementation.
• Experience delivering production-grade AI applications on GCP.

Responsibilities

• Design and develop enterprise-scale AI solutions using Google ADK and Vertex AI.
• Build and optimize RAG pipelines for enterprise knowledge retrieval.
• Develop multi-agent workflows and autonomous decision-making systems.
• Integrate LLMs, vector databases, and enterprise systems.
• Implement monitoring, evaluation, security, and governance for AI applications.
• Collaborate with architects and business stakeholders to define AI solutions.

Skills

GCP

ADK

RAG architectures

Vertex AI

Python development

Vector databases

APIs & microservices

MLOps CI/CD

Cloud-native architecture

Tools

Vertex AI

Pinecone

Weaviate

ChromaDB

BigQuery

Job description

Senior AI Developer (GCP / Google ADK / Vertex AI / RAG)

Required Technical Skills

• Strong hands-on experience with Google Cloud Platform (GCP)
• Proven experience building AI agents using Google Agent Development Kit (ADK)
• Expertise in Retrieval-Augmented Generation (RAG) architectures
• Deep knowledge of Vertex AI, including:
• Gemini models
• Model Garden
• Vertex AI Search
• Vertex AI Agent Builder
• Prompt Engineering
• Fine-tuning and evaluation
• Strong Python development skills
• Experience with vector databases:
• Vertex AI Vector Search
• Pinecone
• Weaviate
• ChromaDB
• Bigquery
• Experience integrating AI solutions through APIs and microservices
• Knowledge of MCP implementation
• Understanding of MLOps, CI/CD, and cloud-native architecture

Key Responsibilities

• Design and develop enterprise-scale Agentic AI solutions using Google ADK and Vertex AI.
• Build and optimize RAG pipelines for enterprise knowledge retrieval.
• Develop multi-agent workflows and autonomous decision-making systems.
• Integrate LLMs, vector databases, and enterprise systems.
• Implement monitoring, evaluation, security, and governance for AI applications.
• Collaborate with architects and business stakeholders to define AI solutions.

Ideal Experience

• 8+ years of software development experience
• 3+ years in Generative AI/LLM solutions
• 2+ years of hands-on Vertex AI implementation
• Experience delivering production-grade AI applications on GCP.