Experience: 5 - 7 Years

Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing new algorithms.
Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers.
Integrate Google Cloud AI services and models into microservices and workflows to support scalable and maintainable solutions.
Design, implement, deploy, and monitor intelligent agents to support automation and personalization.
Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring.
Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions.
Ensure all AI solutions comply with corporate policies on responsible AI and ethical standards.

Education: Bachelor's or Master's degree in Computer Science, Software Engineering.
Proven experience with Google Cloud Platform development (Vertex AI, Document AI, BigQuery ML, Agent Development Framework).
Strong knowledge of third-party LLMs (e.g. OpenAI, Anthropic, Gemini, Azure OpenAI), mastering prompt and context engineering.
Strong knowledge of microservices architecture and development patterns (API-driven, event-driven).
Proven experience with programming languages (SQL & Python is a must).
Knowledge of agentic development frameworks (e.g.

Kit).

Proficient in using coding assistant tools, building POCs rapidly.
Knowledge of BigQuery and CI/CD pipelines in GCP context.
Strong team player with a fast-learning, 'iterate quickly' mindset.
Excellent English communication skills, both written and verbal.
Demonstrated problem-solving ability with a structured, process-oriented approach.

AI Engineer - Python/SQL

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