AI Engineer

Infinityquest It Services; Pune District, Chennai District, Bengaluru; Hybride; INR 3 000 000 - 6 000 000; Plein temps

Résumé du poste

Infinityquest It Services in Pune, India, seeks an AI solutions architect to design enterprise‑scale Agentic AI solutions on Google ADK and Vertex AI. You will build RAG pipelines and integrate LLMs with vector databases, while collaborating with stakeholders.

Work with Gemini models, Model Garden, Vertex AI Search, and Agent Builder, applying MLOps. Requirements: 8+ years software, 3+ years Generative AI, 2+ years Vertex AI, production AI on GCP.

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.

Responsabilités

• 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.

Connaissances

Google Cloud Platform

ADK

RAG architectures

Vertex AI

Prompt engineering

Python

API integration

MLOps

CI/CD

Cloud-native architecture

MCP implementation

Outils

Pinecone

Weaviate

ChromaDB

BigQuery

Gemini models

Description du poste

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.