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TTEC

Senior Engineer, Internal Tools, Artificial Intelligence

TTEC

Senior Engineer developing and maintaining internal tools using AI technologies for organizational efficiency. Collaborating with teams to build seamless business systems and mentor junior engineers.

Posted 7/10/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $150,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureCloudDockerERPETLGoGoogle Cloud PlatformJavaJavaScriptKubernetesNext.jsNode.jsPythonReactSQLTypeScript

About the role

Key responsibilities & impact
  • Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams.
  • Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring.
  • Write clean, well-tested, production-grade code.
  • Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack.
  • Design for reliability, performance, and scale what you build today must hold as the company grows 5–10x.
  • Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems.
  • Own your services in production: monitoring, alerting, incident response, and post-mortems.
  • Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes.
  • Work directly with business stakeholders to understand pain points and translate them into technical solutions.
  • Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example.
  • Propose architectural improvements, challenge assumptions, and drive best practices across the team.

Requirements

What you’ll need
  • 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems.
  • Artificial Intelligence (AI) experience required.
  • Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java.
  • Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices.
  • Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite).
  • Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL.
  • Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding.
  • Clear communicator who can explain technical tradeoffs to non-technical stakeholders.
  • Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus.
  • Frontend experience with React, Next.js, or equivalent modern frameworks is a plus.
  • Familiarity with HRIS, ERP, or people systems data models and processes is a plus.
  • Experience at a high-growth or AI-native company is a plus.
  • Contributions to developer experience tooling, CLIs, or internal SDKs is a plus.
  • Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus.

Benefits

Comp & perks
  • medical insurance
  • Dental
  • Vision
  • Savings Plan Options
  • PTO

ATS Keywords

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Hard Skills & Tools
Full-Stack EngineeringBackend EngineeringData ModellingSQLETL/ELT PipelinesContainerization (Docker/Kubernetes)CI/CD PipelinesWorkflow Orchestration ToolsFrontend Development with React or Next.jsDeveloper Experience Tooling
Soft Skills
Clear CommunicationProblem-SolvingMentoringCollaborationComfort with Ambiguity