Principal Applied AI Engineer

Posted 20 hours ago

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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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