Agentic AI Developer

Role Summary

We are seeking a highly experienced Senior Agentic AI Developer to join the Availability & Reliability Team (ART) under the EPE organization. This role focuses on the development and productionization of autonomous, task-oriented AI agents designed to optimize internal engineering workflows, automate complex problem-solving, and enhance platform efficiency.

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.

Notes

• All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/Salary range is dependent on numerous factors including Qualification, Experience and Location.