Principal Software Engineer

working with a set of geographically dispersed team and bringing a holistic view of development projects.

• A distinguished career with extensive experience in software engineering and AI, with a proven track record of operating at a Principal or equivalent level (e.g., Senior/Lead Staff Engineer, Architect).
• Recognized as a technical leader with experience setting the technical vision for multiple teams or an entire engineering department.
• Verifiable history of architecting, building, and shipping large-scale, mission-critical AI systems that have delivered significant business impact.
• Deep experience navigating ambiguity and translating high-level business or product strategy into a concrete, multi-year technical roadmap.
• Experience presenting to and influencing executive leadership (VPs, CTO, CPO) on complex technical topics.

• Expert understanding of modern AI concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic workflows.
• Deep, authoritative knowledge of major generative AI platforms. Proven ability to reason about and architect solutions using the Google Gemini family of models and their underlying infrastructure is highly preferred.
• Expert-level proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face).
• Expert experience with a major cloud provider (GCP, AWS, Azure), including their AI/ML services. Familiarity with MLOps principles and tools for CI/CD, model deployment, and monitoring.
• Solid understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).
• World-class ability to design highly scalable, fault-tolerant, and elegant distributed systems. You don't just use the cloud; you architect for it.
• Strong analytical and problem-solving skills
• Ability to display effective verbal and written communication skills when explaining complex technical issues to a variety of technical audiences, including clients, vendors, senior management and staff.
• A history of contributions to open-source projects, publications in reputable conferences, or speaking at technical events is a strong plus.
• Ability to establish and maintain a high level of customer trust and confidence in the software engineering team’s knowledge of the customer’s business needs.
• Understands and implements work effectively utilizing agile best practices.

Location - Our hybrid work structure is an expectation of three (3) days a week in office.

This expectation may be adjusted to evolve with the changing needs of the business.