AI Agent Developer

Skilltect Technologies; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Skilltect Technologies in Bengaluru is seeking an AI engineer to design, develop, and deploy AI agents using Google ADK. You will build and orchestrate multi-agent workflows and integrate agents with Gemini models via Vertex AI or the Gemini API.

The role requires strong Python skills and hands-on experience with RAG, embeddings, and vector databases. You will connect agents to enterprise systems through REST APIs and other tools on GCP.

Qualifications

• Hands-on experience with Google Agent Development Kit (ADK).
• Strong experience with Vertex AI and Gemini 1.5/2.x models.
• Strong proficiency in Python.
• Experience with multi-agent orchestration.
• Expertise in Prompt Engineering, Function Calling, and JSON Schemas.
• Experience with RAG, embeddings, and vector databases (Vertex AI Search, Pinecone, Weaviate, etc.).
• Experience integrating AI agents with enterprise systems through REST APIs, MCP, or custom tools.
• Familiarity with Google Cloud Platform (GCP).

Responsibilities

• Design, develop, and deploy AI agents using Google ADK.
• Build and orchestrate multi-agent workflows.
• Integrate AI agents with Gemini models through Vertex AI or the Gemini API.
• Develop custom tools, APIs, and enterprise integrations.
• Build and optimize RAG pipelines using vector databases.
• Implement agent memory, grounding, evaluation, observability, and production guardrails.
• Deploy scalable AI solutions on Vertex AI Agent Engine or equivalent infrastructure.

Skills

Google ADK

Vertex AI

Gemini 1.5/2.x

Python

Multi-agent orchestration

Prompt Engineering

Function Calling

JSON Schemas

RAG

Embeddings

Vector DBs

REST APIs

GCP

Job description

Key Responsibilities

• Design, develop, and deploy AI agents using Google Agent Development Kit (ADK).
• Build and orchestrate multi-agent workflows.
• Integrate AI agents with Gemini models through Vertex AI or the Gemini API.
• Develop custom tools, APIs, and enterprise integrations.
• Build and optimize RAG pipelines using vector databases.
• Implement agent memory, grounding, evaluation, observability, and production guardrails.
• Deploy scalable AI solutions on Vertex AI Agent Engine or equivalent infrastructure.

Required Skills

• Hands-on experience with Google Agent Development Kit (ADK).
• Strong experience with Vertex AI and Gemini 1.5/2.x models.
• Strong proficiency in Python.
• Experience with multi-agent orchestration.
• Expertise in Prompt Engineering, Function Calling, and JSON Schemas.
• Experience with RAG, embeddings, and vector databases (Vertex AI Search, Pinecone, Weaviate, etc.).
• Experience integrating AI agents with enterprise systems through REST APIs, MCP, or custom tools.
• Familiarity with Google Cloud Platform (GCP).