Technical Specialist

HCLTech • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • 4 days ago
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Location
In office
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match

HCLTech

HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.
hcltech.com • HQ: Noida, India • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 5000+ employees • Est. 1976
Tech stack of HCLTech

Job Summary

Task Description: Job Description

Design, develop, deploy & support enterprise-grade Agentic AI solutions on Google Gemini Enterprise Agent Platform (GEAP). The role focuses on building scalable AI agents, enterprise integrations, & production-ready AI services. You will work closely with architects, platform engineers & business stakeholders to deliver secure, reliable, & cost-effective AI solutions.

Responsibilities

Design & develop AI agents, workflows, and integrations using Python.

Build integrations using APIGEE, REST APIs, & MCP

Develop solutions on GCP leveraging Gemini models, GEAP & Google AI services.

Implement prompt engineering, grounding, context management, RAG, & memory patterns.

Evaluate, test, deploy, monitor & optimize agent performance.

Analyze token consumption, model usage, scalability &operational costs.

Qualifications

5 + years Strong Python development experience for enterprise applications & AI solutions.

Hands-on experience with Agentic AI, multi-agent systems &orchestration patterns.

Solid understanding of GCP, Gemini models, GEAP, Vertex AI, or Google ADK.

Experience with APIGEE, APIs, integrations, &MCP-based connectivity.

Strong knowledge of model selection, prompt engineering, grounding, agent evaluation & cost monitoring

Key Responsibilities

Task Description: Job Description

Design, develop, deploy & support enterprise-grade Agentic AI solutions on Google Gemini Enterprise Agent Platform (GEAP). The role focuses on building scalable AI agents, enterprise integrations, & production-ready AI services. You will work closely with architects, platform engineers & business stakeholders to deliver secure, reliable, & cost-effective AI solutions.

Responsibilities

Design & develop AI agents, workflows, and integrations using Python.

Build integrations using APIGEE, REST APIs, & MCP

Develop solutions on GCP leveraging Gemini models, GEAP & Google AI services.

Implement prompt engineering, grounding, context management, RAG, & memory patterns.

Evaluate, test, deploy, monitor & optimize agent performance.

Analyze token consumption, model usage, scalability &operational costs.

Qualifications

5 + years Strong Python development experience for enterprise applications & AI solutions.

Hands-on experience with Agentic AI, multi-agent systems &orchestration patterns.

Solid understanding of GCP, Gemini models, GEAP, Vertex AI, or Google ADK.

Experience with APIGEE, APIs, integrations, &MCP-based connectivity.

Strong knowledge of model selection, prompt engineering, grounding, agent evaluation & cost monitoring

Skill Requirements

Other Requirements

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