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CINC Systems

Principal Applied AI Engineer

CINC Systems

. Lead the direction of a product team in partnership with a Product Lead .

Posted 11/4/2026full-timeRemoteLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in software engineering with a focus on AI architecture, production-grade system design, and team leadership. Proficient in Python, Node, TypeScript, and cloud-native environments, with a strong emphasis on quality and user satisfaction.

Highest-signal resume keywords
15+ Years Of Software Engineering ExperienceFluency In Python, Node, TypeScriptProven Ability To Design And Deploy Production AI ArchitecturesStrong Working Knowledge Of LangGraph And LangChainPractical Experience With Cloud-Native Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Architecture DesignProduction-Grade System DevelopmentAPI DesignMicroservicesEvent-Driven ArchitecturesAutomated TestingContinuous DeliveryServerless ComputeContainerized DeploymentsContext Management
Soft Skills
Mentoring EngineersLeadership Through InfluenceStrategic JudgmentClear CommunicationProblem Solving
Tools & Technologies
CephaiOpenAI APIsAnthropic APIsBedrock APIsVector DatabasesSemantic SearchEmbedding PipelinesService MeshAPI GatewayExtreme Programming
Industry Keywords
AI-Enabled ApplicationsIntelligent Automation WorkflowsRetrieval-Based SystemsCloud-Native EnvironmentsProduction Environment Reliability

Tech Stack

Tools & technologies
AWSCloudGoogle Cloud PlatformMicroservicesNode.jsPythonTypeScript

About the role

Key responsibilities & impact
  • Lead the direction of a product team in partnership with a Product Lead
  • Design and build production-grade, Cephai-powered systems that bring the right context into the work
  • Lead a small engineering team building intelligent automation workflows, retrieval-based systems, and AI-driven operational tooling
  • Ensure AI systems run reliably in a large production environment and integrate cleanly with the rest of the platform
  • Work closely with operations, product, design, sales, marketing, and client support leaders to solve client problems
  • Recruit and mentor strong engineers and support highly skilled team members
  • Shape architectural patterns and engineering practices across the organization
  • Develop team processes that support quality, product excellence, and user satisfaction
  • Help evolve CINC's AI stack with clarity, safety, and measurable impact

Requirements

What you’ll need
  • 15+ years of software engineering experience
  • Fluency in Python, Node, TypeScript, and other programming languages
  • Proven ability to design and deploy production AI architectures combining backend engineering with agent orchestration
  • Strong working knowledge of LangGraph, LangChain, and similar orchestration frameworks
  • Practical experience building AI-enabled applications using APIs from OpenAI, Anthropic, and Bedrock, including context management, streaming responses, and evaluation
  • Familiarity with vector databases, semantic search, and embedding pipelines
  • Solid software engineering fundamentals, including API design, microservices, and system integration patterns such as service mesh, API gateway, and event-driven architectures
  • Practical experience with cloud-native environments such as AWS, GCP, or equivalent, including serverless compute and containerized deployments
  • Demonstrated ability to lead through influence, set direction, and raise standards for quality and maintainability
  • Ability to explain complex trade-offs and design decisions clearly to technical and non-technical audiences
  • Experience mentoring engineers and contributing to architectural strategy
  • Ability to deliver in a fast-moving, global environment
  • Strategic judgment in build-versus-buy decisions
  • Experience with Extreme Programming, continuous delivery, automated testing, and trunk-based development is a strong advantage

Benefits

Comp & perks
  • Remote-first work arrangement with hybrid optional
  • Mentorship and professional growth opportunities
  • Collaboration with global teams
  • Leadership and architectural influence across the organization