
Software Engineer, AI Agents, Tools and Productivity
Google · Hyderabad, Telangana, India
- On site
- Full-time
- ₹2,000,000 / year
- Hyderabad, Telangana, India
Job highlights
- Develop AI agents for workflow automation.
- Build full-stack applications using AI.
- Enhance program delivery efficiency.
- Define and roll out innovative features.
- Lead AI and data system initiatives.
About the role
About The Job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.In this role as a Software Engineer (AI/ML), you will work on a workflow automation initiative using agents. You will automate project management work within the AI and Infrastructure organization, resulting in a full-stack application and multiple AI-based agents.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Partner with Engineering, Product, and Technical Program Management (TPM) teams to establish a data foundation, implement standardized program metadata, and advocate for best practices to improve the efficiency, predictability, and impact of program delivery across the AI and Infrastructure organization.
- Define requirements, drive the development life-cycle, and manage the rollout of innovative features designed to automate core TPM tasks, enhance program data quality, and deliver real-time, actionable insights to leadership.
- Lead key workstreams within the program to build and implement AI-based agents and data systems, transforming TPM program execution and governance within the AI2 (AI and Infrastructure) organization.
Minimum Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred Qualifications
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
Key skills/competency
- Software Development
- AI Agents
- Workflow Automation
- Full-Stack Development
- Data Structures
- Algorithms
- System Design
- Technical Leadership
- Cloud Computing
- Machine Learning
Skills & topics
- Software Engineer
- AI Agents
- AI
- Machine Learning
- Workflow Automation
- Full Stack Development
- Cloud Computing
- Google Cloud
- System Design
- Algorithms
- Data Structures
- Technical Leadership
How to get hired
- Tailor your resume: Highlight AI, software development, and leadership experience relevant to Google Cloud.
- Showcase technical skills: Emphasize programming languages, data structures, algorithms, and system design expertise.
- Demonstrate leadership: Provide examples of leading projects and driving technical initiatives.
- Prepare for interviews: Practice coding challenges and behavioral questions, focusing on problem-solving and collaboration.
- Understand Google's culture: Research Google Cloud's mission and values to align your application.
Technical preparation
Practice coding in Python and Java.,Review data structures and algorithms.,Study large-scale system design principles.,Familiarize with AI and ML concepts.
Behavioral questions
Describe a complex technical problem you solved.,How do you handle project ambiguity?,Share an experience leading a technical project.,How do you collaborate with cross-functional teams?
Frequently asked questions
- What specific AI technologies are used for the Software Engineer, AI Agents role at Google Cloud?
- While the description emphasizes AI-based agents and workflow automation, specific AI technologies like machine learning, natural language processing, and large-scale system design are implied. Candidates with experience in these areas will be well-suited for this Software Engineer, AI Agents position.
- What is the expected career growth for a Software Engineer, AI Agents at Google?
- Google Cloud offers opportunities for growth through switching teams and projects. For a Software Engineer, AI Agents, career progression could involve moving into more senior technical leadership roles or specializing further in AI and large-scale system development within Google.
- What are the core responsibilities of a Software Engineer, AI Agents at Google Cloud?
- The core responsibilities include partnering with cross-functional teams, defining requirements, driving the development lifecycle for automation features, and leading initiatives to build AI-based agents and data systems for program execution.
- How important is experience with data structures and algorithms for this Software Engineer, AI Agents role?
- Experience with data structures and algorithms is highly preferred, with 5 years of experience listed as a preferred qualification. This indicates a strong emphasis on foundational computer science knowledge for this role.
- Can I apply for the Software Engineer, AI Agents position if I don't have a Master's or PhD?
- Yes, a Bachelor's degree with equivalent practical experience is a minimum qualification. While a Master's or PhD is preferred, it is not strictly required to apply for this Software Engineer, AI Agents role.
- What is the working arrangement for the Software Engineer, AI Agents position at Google?
- This Software Engineer, AI Agents position offers flexibility in location, with opportunities to work from Bengaluru, Karnataka, India, or Hyderabad, Telangana, India. The specific work arrangement (on-site, hybrid, remote) will depend on team needs and local policies.
- What kind of projects can I expect as a Software Engineer, AI Agents at Google Cloud?
- As a Software Engineer, AI Agents, you will work on a workflow automation initiative within the AI and Infrastructure organization, focusing on automating project management tasks using AI-based agents and developing full-stack applications.