Description

You will design, build, and productionize generative AI solutions for global clients using Python, the Google AI/GCP stack, and GitHub Copilot.

This role is on-site.

Responsibilities

• Develop generative AI applications including chatbots, conversational agents, RAG systems, and semantic search.
• Collaborate with client stakeholders and internal AI Labs teams to ideate use cases and define implementation roadmaps.
• Translate complex requirements into tangible solutions, ensuring strong code quality, security, and reliability.
• Implement workflow automation systems and optimize processes through AI-driven insights.
• Utilize prompt engineering, prompt templates, and LLM foundations to deliver real-world applications.

Required Skills

• 8+ years of software engineering experience with strong proficiency in Python.
• Hands-on experience with Google Cloud Platform (GCP), Vertex AI, and Google Gemini models.
• Practical experience with AWS and Azure cloud platforms.
• Familiarity with DevOps principles, CI/CD pipelines, and code quality standards.
• Experience with GitHub Copilot and modern IDEs like Cursor or VS Code.
• Strong understanding of LLM APIs (Google Gemini, Vertex, OpenAI) and prompt engineering.
• Ability to collaborate effectively in client-facing workshops and ideation sessions.

Preferred Skills

• Experience with Gen AI frameworks such as LangChain and LangGraph.
• Knowledge of AI ethics, governance, A2A, and MCP concepts.

Key Skills

Education

Any Gradute