Senior Agentic AI Developer
Job Location:
Job Location:
San Jose, CA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Agentic AI Developer
Required Qualifications
Experience: Minimum 8 years of professional software engineering experience with a proven track record in full-stack or backend development.
Core Technical Stack: Deep practical knowledge of Java and Python demonstrated through significant development experience.
Generative AI Expertise: Hands-on experience with LLMs specifically the Gemini family and their application in agentic workflows reasoning tasks and tool-calling.
Agentic Frameworks: Familiarity with Agent Development Kit (ADK) Model Context Protocol (MCP) and agent design in Vertex AI.
Cloud Infrastructure: Strong understanding of cloud-native development on GCP
Leadership: Demonstrated ability to lead complex projects from requirement gathering to production release acting as a strategic liaison between engineering and product stakeholders.
Addition Skills (Good to Have)
Experience in Google-proprietary technologies such as Borg Blaze Piper and Critique.
Cloud-native development on GCP including experience with Spanner BigQuery and Pub/Sub.
Key Responsibilities
Agentic Workflow Design: Architect and orchestrate autonomous agents capable of planning executing and verifying complex engineering tasks such as code generation unit test case creation and automated bug triaging.
Platform Integration: Develop and maintain Model Context Protocol (MCP) servers to connect agents to canonical internal documentation and tools ensuring high-fidelity grounded responses.
Tooling & Automation: Utilize the Google Antigravity platform and Agent Development Kit (ADK) to build context-aware assistants that integrate with existing IDEs and development tools.
Productionization: Lead the transition of AI Proof-of-Concept (POC) projects into production-ready services collaborating with Moma and other internal search and productivity teams.
Architectural Leadership: Propose and implement architectural changes to agentic systems to improve reasoning capabilities reduce latency and optimize token usage.
Technical Mentorship: Guide junior engineers in adopting vibe coding practices and leveraging Gemini-powered agentic tools for effective software development.
Required Qualifications
Experience: Minimum 8 years of professional software engineering experience with a proven track record in full-stack or backend development.
Core Technical Stack: Deep practical knowledge of Java and Python demonstrated through significant development experience.
Generative AI Expertise: Hands-on experience with LLMs specifically the Gemini family and their application in agentic workflows reasoning tasks and tool-calling.
Agentic Frameworks: Familiarity with Agent Development Kit (ADK) Model Context Protocol (MCP) and agent design in Vertex AI.
Cloud Infrastructure: Strong understanding of cloud-native development on GCP
Leadership: Demonstrated ability to lead complex projects from requirement gathering to production release acting as a strategic liaison between engineering and product stakeholders.
Addition Skills (Good to Have)
Experience in Google-proprietary technologies such as Borg Blaze Piper and Critique.
Cloud-native development on GCP including experience with Spanner BigQuery and Pub/Sub.
Key Responsibilities
Agentic Workflow Design: Architect and orchestrate autonomous agents capable of planning executing and verifying complex engineering tasks such as code generation unit test case creation and automated bug triaging.
Platform Integration: Develop and maintain Model Context Protocol (MCP) servers to connect agents to canonical internal documentation and tools ensuring high-fidelity grounded responses.
Tooling & Automation: Utilize the Google Antigravity platform and Agent Development Kit (ADK) to build context-aware assistants that integrate with existing IDEs and development tools.
Productionization: Lead the transition of AI Proof-of-Concept (POC) projects into production-ready services collaborating with Moma and other internal search and productivity teams.
Architectural Leadership: Propose and implement architectural changes to agentic systems to improve reasoning capabilities reduce latency and optimize token usage.
Technical Mentorship: Guide junior engineers in adopting vibe coding practices and leveraging Gemini-powered agentic tools for effective software development.
