Project Manager - Agile

Debtt Group; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Debtt Group based in Hyderabad is seeking a seasoned software engineer to lead the design and productionization of autonomous AI systems.

The ideal candidate should have a minimum of 8 years of professional software engineering experience, with strong expertise in Java and Python. This role involves mentoring engineers and discussing practices like vibe coding, making it essential to possess excellent technical and leadership skills.

Qualifications

• Minimum 8 years professional software engineering experience.
• Strong practical experience in Java and Python.
• Hands-on experience with large language models (LLMs), specifically Gemini.
• Familiarity with Agent Development Kit (ADK) and Model Context Protocol (MCP).
• Strong understanding of cloud-native development on Google Cloud Platform.

Responsibilities

• Lead the design and productionization of AI systems to optimize engineering workflows.
• Mentor junior engineers in agent development practices.
• Architect and orchestrate workflows for engineering tasks.
• Provide technical mentorship and guide adoption of agentic tools.

Tools

Java

Python

Gemini (LLM family)

Agent Development Kit (ADK)

Model Context Protocol (MCP)

Vertex AI

Google Cloud Platform (GCP)

Spanner

BigQuery

Pub/Sub

Job description

Explicitly references "vibe coding" and requires mentoring engineers to adopt vibe coding practices for agentic development.

About the Role

Lead design and productionization of autonomous, agentic AI systems to automate and optimize internal engineering workflows. Drive architecture, integration, and delivery of Gemini-powered agents and cloud-native services while mentoring engineers and liaising between product and engineering stakeholders.

Job Description

Role

Lead the design, development, and productionization of autonomous, task-oriented AI agents to optimize internal engineering workflows, automate complex problem solving, and improve platform efficiency. Act as an architectural and delivery lead from requirements gathering through production release, and mentor junior engineers in agent development practices.

Key Responsibilities

• Architect and orchestrate agentic workflows capable of planning, executing, and verifying engineering tasks (e.g., code generation, unit test creation, automated bug triaging).
• Develop and maintain Model Context Protocol (MCP) servers to connect agents to canonical documentation and tools to ensure grounded responses.
• Build context-aware assistants using Agent Development Kit (ADK) and integrate them with IDEs and development tools via the Google Antigravity platform.
• Lead productionization of AI POCs into production-ready services in collaboration with search and productivity teams.
• Propose architectural improvements to enhance reasoning capabilities, reduce latency, and optimize token usage.
• Provide technical mentorship and guide adoption of agentic tools and “vibe coding” practices.

Requirements

• Minimum 8 years professional software engineering experience with a proven record in full‑stack or backend development.
• Strong practical experience in Java and Python.
• Hands-on experience with large language models (LLMs), specifically the Gemini family, and applying them in agentic workflows, reasoning tasks, and tool-calling.
• Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP), and agent design within Vertex AI.
• Strong understanding of cloud-native development on Google Cloud Platform (GCP).
• Demonstrated ability to lead complex projects and act as a strategic liaison between engineering and product stakeholders.

Nice to Have

• Experience with Google-proprietary technologies such as Borg, Blaze, Piper, and Critique.
• Experience with GCP services such as Spanner, BigQuery, and Pub/Sub.

Tech / Tools Mentioned

Java, Python, Gemini (LLM family), Agent Development Kit (ADK), Model Context Protocol (MCP), Vertex AI, Google Cloud Platform (GCP), Borg, Blaze, Piper, Critique, Spanner, BigQuery, Pub/Sub, Google Antigravity platform, Moma, IDE integrations.

Java Python Gemini LLMs Agent Development Kit (ADK) Model Context Protocol (MCP) Vertex AI Google Cloud Platform (GCP) Borg Blaze Piper Critique Spanner BigQuery Pub/Sub Google Antigravity platform Moma IDEs

Skills

Leadership Technical Mentorship Project Management System Architecture Full-stack/Backend Development Platform Integration Tooling & Automation Productionization Requirements Gathering Collaboration Problem Solving