Gen AI+GCP Developer
Capgemini · Gurgaon, Haryana, India
- On site
- Full-time
- $120,000 / year
- Gurgaon, Haryana, India
Job highlights
- Design and build Generative AI solutions on GCP.
- Utilize Vertex AI and Gemini models.
- Develop Python applications and AI workflows.
- Implement advanced GenAI design patterns.
- Focus on career growth and flexible work.
About the role
Generative AI Developer GCP
Your Role
The Generative AI Developer will design, build, and deploy next-generation Agentic and Generative AI solutions on Google Cloud Platform, leveraging Vertex AI, Gemini models, A2A patterns, and cloud-native GenAI capabilities. The role involves translating business requirements into scalable, production-ready AI applications using Google’s latest GenAI ecosystem.Design & Implement Generative + Agentic AI Solutions
Architect and implement solutions using Google’s agentic patterns, including A2A (Agent-to-Agent coordination), tool-augmented agents, and workflow orchestration.Hands-On with Vertex AI & Gemini Models
Build applications using Vertex AI, Gemini, Vertex AI Studio, Codey, and relevant APIs to deliver high-performing GenAI capabilities.Develop AI Workflows & Applications
Create Python-based applications and workflows that integrate Generative AI models into enterprise systems.Implement GenAI Design Patterns & Best Practices
Apply GenAI architectural patterns such as retrieval-augmented generation, grounding, safety layers, structured prompting, tool use, and agent orchestration following Google-recommended best practices.Your Profile
Required Skills & Experience- Strong proficiency in Python for AI/ML development.
- Hands-on experience with Vertex AI, Gemini models, and Google’s Generative AI tooling.
- Expertise in deep learning frameworks (TensorFlow/PyTorch/JAX).
- Experience building and scaling cloud-native ML pipelines and APIs on GCP.
What You Will Love About Working Here
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.
Key skills/competency
- Generative AI
- Google Cloud Platform (GCP)
- Vertex AI
- Gemini Models
- Python
- Agentic AI
- Deep Learning
- Machine Learning Pipelines
- Cloud-Native ML
- API Development
Skills & topics
- Generative AI
- GCP
- Developer
- Vertex AI
- Gemini Models
- Python
- Agentic AI
- Cloud
- AI
- Machine Learning
How to get hired
- Tailor your resume: Highlight Python, GCP, Vertex AI, and Gemini model experience prominently.
- Showcase your projects: Detail any personal or professional projects involving Generative AI or Agentic AI.
- Prepare for technical interviews: Brush up on Python, deep learning frameworks, and GCP services.
- Demonstrate GenAI understanding: Be ready to discuss GenAI design patterns and best practices.
- Express career growth interest: Align your aspirations with Capgemini's growth programs.
Technical preparation
Master Python for AI/ML tasks.,Deepen Vertex AI and Gemini model knowledge.,Practice building cloud-native ML pipelines.,Study GenAI design patterns and best practices.
Behavioral questions
Describe a complex AI project you led.,How do you handle project ambiguity?,How do you stay updated with AI trends?,Share an example of work-life balance management.
Frequently asked questions
- What specific Google Cloud Platform services are essential for a Generative AI Developer at Capgemini?
- For this Generative AI Developer role at Capgemini, a strong focus is placed on Google Cloud Platform services, particularly Vertex AI and its associated tooling like Vertex AI Studio and Codey. Familiarity with Gemini models is also crucial, as is experience with building and scaling cloud-native ML pipelines and APIs on GCP.
- How important is Python for the Generative AI Developer position at Capgemini?
- Python is a core requirement for this Generative AI Developer position at Capgemini. You'll need strong proficiency in Python for AI/ML development, including creating Python-based applications and workflows that integrate Generative AI models into enterprise systems.
- What does Capgemini offer for career growth in Generative AI?
- Capgemini emphasizes career growth through various programs and diverse professional opportunities. For this role, you can expect support in acquiring valuable certifications in cutting-edge technologies like Generative AI, allowing you to explore a world of opportunities within the company.
- Can I work remotely as a Generative AI Developer at Capgemini?
- Yes, Capgemini recognizes the importance of flexible work arrangements. They offer support for remote work and flexible work hours, aiming to provide an environment that helps you maintain a healthy work-life balance.
- What are 'Agentic AI' and 'A2A patterns' in the context of this Capgemini role?
- Agentic AI refers to AI systems that can act autonomously to achieve goals. A2A (Agent-to-Agent coordination) patterns are specific methods for enabling multiple AI agents to collaborate and coordinate their actions, which is a key architectural focus for this role on Google Cloud Platform.
- What deep learning frameworks are relevant for this Generative AI Developer job?
- For this Generative AI Developer role at Capgemini, expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX is required. This foundational knowledge is essential for building and understanding the underlying models used in Generative AI solutions.