Principal Engineer, AI Architect

This is a fully remote position, open to applicants in India.

📋 Description

• Comprehend clients’ business use cases and technical needs, transforming them into technical designs.

• Take ownership of the architecture and technical vision for AI-driven user-facing applications utilizing Python, React, and Generative AI.

• Create scalable, secure, and cost-effective backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.

• Define frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards.

• Lead intricate GenAI workflows that integrate LLMs, tools, APIs, structured data, and user context.

• Set engineering standards for prompt design, model integration, evaluation, and observability.

• Propel GenAI platformization through the development of reusable components, SDKs, and frameworks.

• Collaborate with product, design, data, and business leaders to create scalable technical solutions.

• Evaluate critical designs and codebases, facilitate team progress, and elevate engineering standards.

• Lead technical discovery and solution development for high-impact initiatives and client or executive workshops.

• Ensure adherence to security, privacy, compliance, governance, and responsible AI practices.

• Utilize AI-assisted development tools to enhance delivery speed while ensuring production-grade quality.

• Align decisions with requirements and communicate them effectively to developers.

• Identify, assess, and refine solution options to fulfill client needs.

• Establish NFR guidelines and benchmarks.

• Draft and review architecture and high-level design documents.

• Assess architecture and design for extensibility, scalability, security, design patterns, user experience, and NFRs.

• Develop comprehensive solutions while defining technologies, patterns, and frameworks.

• Apply technology integration insights from projects.

• Troubleshoot code and review issues through systematic root-cause analysis.

• Conduct POCs to validate designs and technologies.

⛳️ Requirements

• Over 11 years of overall experience.

• More than 10 years of experience in software engineering.

• Extensive proficiency in Python.

• Demonstrated experience in architecting and delivering production-grade Generative AI applications at scale.

• In-depth understanding of LLM integration patterns, RAG systems, and AI-driven UX design.

• Strong system design capabilities across backend, frontend, and AI infrastructure layers.

• Experience in defining technical strategy and influencing architecture across teams or pods.

• Practical experience with AWS, Azure, or GCP and distributed systems.

• Solid understanding of security, privacy, and governance in enterprise AI.

• Ability to convert ambiguous business challenges into robust technical architectures.

• Excellent communication skills, with the capability to influence senior stakeholders and technical leadership.

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

🏝️ Benefits

• Work remotely.

• Experience a dynamic, non-hierarchical work culture.

• Opportunity to collaborate with a global team across 40 countries.

• Utilize AI-assisted development tools such as Copilot and Claude Code.