
Principal Applied AI Engineer
Posted 20 hours ago

Posted 20 hours ago
This is a fully remote position, open to applicants anywhere in the world.
• Guide the strategic direction of a product team in collaboration with a Product Lead.
• Design and develop production-quality systems powered by Cephai, ensuring the right context is integrated into the work.
• Oversee a small engineering team focused on creating intelligent automation workflows, retrieval-based systems, and AI-driven operational tools.
• Ensure the reliable operation of AI systems within a large production environment, facilitating seamless integration with the broader platform.
• Collaborate closely with leaders in operations, product, design, sales, marketing, and client support to address client challenges.
• Recruit and mentor talented engineers while providing support to highly skilled team members.
• Define architectural patterns and engineering practices throughout the organization.
• Establish team processes that promote quality, product excellence, and user satisfaction.
• Contribute to the evolution of CINC's AI stack with a focus on clarity, safety, and measurable impact.
• A minimum of 15 years of experience in software engineering.
• Proficiency in Python, Node, TypeScript, and various other programming languages.
• Demonstrated ability to design and implement production AI architectures that integrate backend engineering with agent orchestration.
• Strong working knowledge of orchestration frameworks such as LangGraph and LangChain.
• Hands-on experience in developing AI-enabled applications utilizing APIs from OpenAI, Anthropic, and Bedrock, including context management, streaming responses, and evaluation.
• Familiarity with vector databases, semantic search, and embedding pipelines.
• Comprehensive understanding of software engineering principles, including API design, microservices, and system integration patterns like service mesh, API gateway, and event-driven architectures.
• Practical experience in cloud-native environments such as AWS, GCP, or similar, with expertise in serverless computing and containerized deployments.
• Proven capability to lead through influence, establish direction, and elevate standards for quality and maintainability.
• Skill in articulating complex trade-offs and design decisions to both technical and non-technical stakeholders.
• Experience in mentoring engineers and contributing to architectural strategy.
• Ability to thrive in a fast-paced, global environment.
• Strategic judgment regarding build-versus-buy decisions.
• Familiarity with Extreme Programming, continuous delivery, automated testing, and trunk-based development is a significant advantage.
• A remote-first work arrangement with optional hybrid opportunities.
• Mentorship and opportunities for professional development.
• Collaboration with teams across the globe.
• Leadership and architectural influence throughout the organization.
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