What are the responsibilities and job description for the Google ADK AI Engineer position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Nityo Infotech Corporation, is seeking the following. Apply via Dice today!
Job Role: Google ADK AI Engineer
Job Location: Sunnyvale, CA/ Cupertino, CA/ Austin, TX
Job Type: Full Time
Job Description:
Client is seeking Google ADK AI Engineer- In this role, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition, and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Bachelor s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 8 years of Information Technology experience.
Strong programming skills in Python and applied experience with a range of LLMs.
Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
Hands-on experience developing, deploying, and operating AI agents in production.
Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.
Experience in writing SQL.
Preferred Qualifications:
A portfolio of deployed agentic systems that have delivered significant, measurable impact.
Experience in evaluation frameworks for AI agents.
Proven years of software development or machine learning experience.
Proven expertise in optimizing AI agents for latency, scalability, and cost.
Experience in Big data would be an added advantage
A track record of thought leadership or contributions to the field of agentic AI.
M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience
Good understanding of Agile software development frameworks
Strong communication and Analytical skills
Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
Experience and desire to work in a global delivery environment
Job Role: Google ADK AI Engineer
Job Location: Sunnyvale, CA/ Cupertino, CA/ Austin, TX
Job Type: Full Time
Job Description:
Client is seeking Google ADK AI Engineer- In this role, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition, and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Bachelor s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 8 years of Information Technology experience.
Strong programming skills in Python and applied experience with a range of LLMs.
Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
Hands-on experience developing, deploying, and operating AI agents in production.
Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.
Experience in writing SQL.
Preferred Qualifications:
A portfolio of deployed agentic systems that have delivered significant, measurable impact.
Experience in evaluation frameworks for AI agents.
Proven years of software development or machine learning experience.
Proven expertise in optimizing AI agents for latency, scalability, and cost.
Experience in Big data would be an added advantage
A track record of thought leadership or contributions to the field of agentic AI.
M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience
Good understanding of Agile software development frameworks
Strong communication and Analytical skills
Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
Experience and desire to work in a global delivery environment
