Agentic AI Developer

VectorMatch; India; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

VectorMatch is seeking an experienced AI Developer to design, build, deploy, and support enterprise-grade Agentic AI solutions on the Google Gemini Enterprise Agent Platform (GEAP). You will create scalable AI agents, enterprise integrations, and production-ready services in collaboration with architects, platform engineers, and business stakeholders.

The role emphasizes Python development, multi-agent orchestration, and cost-aware deployments on GCP, leveraging Gemini models, GEAP, Vertex AI,

Qualifications

• 5+ years of Python development experience for enterprise applications and AI solutions.
• Hands-on experience with Agentic AI, multi-agent architecture, and orchestration patterns.
• Solid understanding of GCP, Gemini models, GEAP, Vertex AI, or Google ADK.
• Demonstrated experience with APIGEE, RESTful APIs, integrations, and MCP-based connectivity.
• Strong working knowledge of model selection, prompt engineering, grounding, agent evaluation, and cost monitoring.
• Familiarity with Git, CI/CD pipelines, testing, debugging, and secure development principles.

Responsibilities

• Design and develop scalable AI agents, workflows, and enterprise integrations using Python.
• Build seamless platform integrations using APIGEE, REST APIs, and MCP.
• Develop cloud-native solutions on GCP leveraging Gemini models, GEAP, and Google AI services.
• Implement key AI patterns including prompt engineering, grounding, context management, RAG, and memory frameworks.
• Evaluate, test, deploy, monitor, and continuously optimize AI agent performance.
• Analyze token consumption, model usage, scalability, and operational costs to maintain efficient delivery.

Skills

Python

Agentic AI

Gemini GEAP

GCP

Vertex AI

APIGEE

REST APIs

MCP

Prompt Engineering

Grounding

Cost Monitoring

Model Evaluation

Git

CI/CD

Testing

Secure Dev

Tools

APIGEE

REST APIs

MCP

Job description

Job Description:

The client is seeking an experienced AI Developer to design, develop, deploy, and support enterprise-grade Agentic AI solutions on the Google Gemini Enterprise Agent Platform (GEAP). In this role, you will focus on building scalable AI agents, enterprise integrations, and production-ready AI services while collaborating closely with architects, platform engineers, and business stakeholders to deliver secure, reliable, and cost-effective solutions.

What will your role look like

• Design and develop scalable AI agents, workflows, and enterprise integrations using Python.
• Build seamless platform integrations using APIGEE, REST APIs, and Model Context Protocol (MCP).
• Develop cloud-native solutions on GCP leveraging Gemini models, GEAP, and Google AI services.
• Implement key AI patterns including prompt engineering, grounding, context management, RAG, and memory frameworks.
• Evaluate, test, deploy, monitor, and continuously optimize AI agent performance.
• Analyze token consumption, model usage, scalability, and operational costs to maintain efficient delivery.

Why you will love this role

• Work on cutting-edge Agentic AI solutions and multi-agent systems using industry-leading platform tools.
• Collaborate with cross-functional teams of architects, platform engineers, and key business stakeholders.
• Drive impact by delivering enterprise-ready, production-grade AI technologies at scale.
• Thrive in a collaborative, innovative culture focused on technical excellence and career growth.

We would like you to bring along

• 5+ years of strong Python development experience for enterprise applications and AI solutions.
• Hands-on experience with Agentic AI, multi-agent architecture, and orchestration patterns.
• Solid understanding of GCP, Gemini models, GEAP, Vertex AI, or Google ADK.
• Demonstrated experience with APIGEE, RESTful APIs, integrations, and MCP-based connectivity.
• Strong working knowledge of model selection, prompt engineering, grounding, agent evaluation, and cost monitoring.
• Familiarity with software engineering best practices including Git, CI/CD pipelines, testing, debugging, and secure development principles.

Skills

PythonAgentic AIGoogle Gemini Enterprise Agent Platform (GEAP)GCPAPIGEEREST APIsModel Context Protocol (MCP)Prompt EngineeringRAGVertex AI

Good to have

APIGEEMCPGEAP