Technical Lead

Position

Role Overview

Senior Developer

Key Responsibilities

• Design and develop intelligent agents using

  Agent Development Kits (ADK)

  including agent flows, inference engines, multi-agent coordination, and action triggers.
• Leverage

  Vertex AI Agent Builder

  and

  Gemini multimodal models

  to build powerful NLP and multimodal solutions.
• Utilize

  MCP (Model Context Protocol)

  to connect agents with external systems, APIs, and various data sources.
• Work with

  Google Cloud tools

  such as

  Cloud Functions

  ,

  Cloud Run

  ,

  Cloud Storage

  , and

  BigQuery

  to deploy scalable, event-driven solutions.
• Implement

  Document AI

  and

  Text Embedding APIs

  to extract structured data from unstructured documents (e.g., chemical SDSs).
• Develop compliance-ready analytics and reporting pipelines.
• Integrate

  Dialogflow CX

  for voice-based user interactions and incident reporting (preferred).

Required Skills

• Strong experience in

  GenAI

  ,

  Prompt Engineering

  ,

  NLP

  , and

  ML

  workflows.
• Hands-on experience with

  Vertex AI

  ,

  Gemini models

  , and

  Agent Builder

  frameworks.
• Proficiency in working with

  GCP services

  : Cloud Functions, Cloud Run (preferred), Pub/Sub, BigQuery, Cloud Storage.
• Exposure to

  Document AI

  ,

  Text Embedding APIs

  , and

  MCP

  protocols.
• Experience in building and deploying scalable AI solutions in production.
• Bonus: Knowledge of voice interaction platforms such as

  Dialogflow CX

  .

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• Google Cloud Certification (nice to have).