AI Full Stack Architect

About the role

We are seeking a highly skilled Full Stack AI Architect to design, develop, and deploy end‑to‑end AI‑powered applications. The role combines deep Python expertise with cloud‑native Generative AI development, working closely with product, design, and engineering teams.

Key responsibilities

• Design, build, and maintain scalable full‑stack applications using Python and modern front‑end frameworks.
• Develop, train, and deploy Generative AI models on AWS, Azure, and GCP, leveraging services such as AWS Bedrock, Azure OpenAI, and GCP Vertex.
• Implement “white coding” standards to ensure clean, maintainable code across the stack.
• Integrate AI services (e.g., Airweave, Temporal AI, LiteLLM, Langgraph, Vector DB, Advanced RAG) into existing products.
• Collaborate with product managers, designers, and engineers to translate requirements into technical solutions.
• Communicate technical concepts to both technical and non‑technical stakeholders and negotiate requirements, timelines, and deliverables.
• Participate in code reviews, troubleshooting, performance optimization, and CI/CD pipeline improvements.

Required profile

• Bachelor’s or master’s degree in Computer Science, Engineering or a related field.
• Proven experience as a Full Stack Developer with strong Python proficiency.
• Hands‑on experience deploying AI models on at least one major cloud platform (AWS, Azure, GCP).
• Demonstrated ability to follow coding standards and produce high‑quality, maintainable code.
• Excellent written and verbal communication skills and a track record of effective negotiation with stakeholders.

Required skills

• Python
• JavaScript, React, Angular
• AWS, Azure, GCP
• AWS Bedrock, Azure OpenAI, GCP Vertex
• Generative AI frameworks and concepts
• Airweave, Temporal AI, LiteLLM, Langgraph, Vector DB, Advanced RAG
• Docker, Kubernetes
• CI/CD pipelines
• Cursor AI, GitHub Copilot
• Security best practices for cloud and AI deployments