Google ADK Developer

Cognizant; Mangum (NC); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an experienced software engineer to develop and maintain AI agents using Google ADK and Vertex AI services in a cloud environment. You will build agent workflows, tools, prompts, and integrations with external systems, and implement multi-agent communication with MCP and A2A protocols.

You will also create reusable libraries, publish unit and integration tests, and participate in debugging, logging, and deployment activities while staying current with AI frameworks and cloud

Qualifications

• 3-7 years of software development experience.
• Experience with Python and object-oriented programming principles.
• Hands-on knowledge of Google ADK, Vertex AI, LangChain, or similar AI frameworks.
• Understanding of REST APIs, cloud-native application development, and containerization.
• Familiarity with CI/CD pipelines, Git, Docker, and cloud deployment practices.
• Knowledge of LLMs, prompt engineering, RAG, and agent-based architectures.

Responsibilities

• Develop and maintain AI agents using Google ADK and Vertex AI services.
• Build agent workflows, tools, prompts, and integrations with external systems.
• Implement multi-agent communication mechanisms using MCP and A2A protocols.
• Develop reusable libraries and components to accelerate agent development.
• Create unit tests, integration tests, and evaluation frameworks for agentic applications.
• Support debugging, troubleshooting, and performance optimization activities.
• Implement logging, monitoring, and observability capabilities.
• Participate in CI/CD and deployment activities.

Skills

Python

OOP principles

Google ADK / Vertex AI

LangChain

REST APIs

CI/CD / Git / Docker

LLMs & Prompting

Tools

Docker

Git

Cloud Run

Vertex AI

Google Cloud

Job description

• Develop and maintain AI agents using Google ADK and Vertex AI services.
• Build agent workflows, tools, prompts, and integrations with external systems.
• Implement multi-agent communication mechanisms using MCP and A2A protocols.
• Develop reusable libraries and components to accelerate agent development.
• Create unit tests, integration tests, and evaluation frameworks for agentic applications.
• Support debugging, troubleshooting, and performance optimization activities.
• Implement logging, monitoring, and observability capabilities.
• Participate in CI/CD and deployment activities.

Key Responsibilities / Skills

Agent Development

• Develop and maintain AI agents using Google ADK and Vertex AI services.
• Build agent workflows, tools, prompts, and integrations with external systems.
• Implement multi-agent communication mechanisms using MCP and A2A protocols.
• Develop reusable libraries and components to accelerate agent development.

Engineering & Testing

• Create unit tests, integration tests, and evaluation frameworks for agentic applications.
• Support debugging, troubleshooting, and performance optimization activities.
• Implement logging, monitoring, and observability capabilities.
• Participate in CI/CD and deployment activities.

Cloud & Platform Operations

• Deploy and manage AI solutions on Google Cloud platforms.
• Configure Cloud Run, APIs, databases, and supporting cloud services.
• Support production monitoring and incident resolution activities.
• Ensure compliance with security, governance, and operational standards.

Collaboration & Learning

• Collaborate with architects, managers, and fellow engineers throughout the software development lifecycle.
• Participate in code reviews, design discussions, and knowledge-sharing activities.
• Stay current with emerging AI agent frameworks, tools, and cloud technologies.

Qualifications

• 3-7 years of software development experience.
• Experience with Python and object-oriented programming principles.
• Hands-on knowledge of Google ADK, Vertex AI, LangChain, or similar AI frameworks.
• Understanding of REST APIs, cloud-native application development, and containerization.
• Familiarity with CI/CD pipelines, Git, Docker, and cloud deployment practices.
• Knowledge of LLMs, prompt engineering, RAG, and agent-based architectures.

Salary And Other Compensation

The annual salary for this position is between $ 80,000– $ 100,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan