5 days ago
Pune, IndiaSenior
Responsibilities
- Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs.
- Translate business goals into technically feasible AI-powered solutions in collaboration with cross-functional technical teams.
- Integrate Google Cloud AI services and models into microservices and workflows.
- Design, implement, deploy, and monitor intelligent agents for automation and personalization.
- Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions.
- Collaborate with DevOps engineers and SREs on deployment and monitoring.
- Maintain API references, runbooks, architecture diagrams, and other technical documentation.
- Conduct internal demos and training sessions.
- Ensure AI solutions comply with corporate responsible AI policies and ethical standards.
Requirements
- Bachelor’s or Master’s degree in Computer Science or Software Engineering.
- At least 7 years of strong hands-on experience.
- Proven Google Cloud Platform development experience with AI services and products such as Vertex AI, Document AI, BigQuery ML, and Agent Development Framework.
- Strong knowledge of third-party LLMs including OpenAI, Anthropic, Gemini, and Azure OpenAI, with expertise in prompt and context engineering.
- Strong knowledge of microservices architecture and API-driven, event-driven, or message-driven development patterns.
- Proficiency in SQL and Python.
- Knowledge of agentic development frameworks such as Google Agent Development Kit.
- Proficiency with coding assistant tools and rapid proof-of-concept development.
- Knowledge of BigQuery and CI/CD pipelines in Google Cloud Platform.
- Strong English communication, structured problem-solving, teamwork, and fast-learning skills.
Tech Stack
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