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TTEC

AI Backend Engineer

TTEC

AI Backend Engineer responsible for building AI-driven systems. Working within a global engineering team for a scalable AI platform.

Posted 7/3/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in backend engineering for AI-powered systems, focusing on building high-throughput, low-latency services while ensuring system reliability and observability. Collaborates effectively with cross-functional teams to deliver end-to-end features in a fast-paced environment.

Highest-signal resume keywords
Backend Engineering ExperienceHigh-Throughput ServicesAI Systems FamiliarityObservability Tools ExperienceDistributed Systems Debugging

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Backend EngineeringAI OrchestrationInference PipelinesSystem Design PrinciplesProduction Debugging
Soft Skills
Ownership MindsetCollaboration
Tools & Technologies
Observability ToolsLoggingMonitoringTracingIncident Response Workflows
Industry Keywords
AI WorkflowsDistributed SystemsAPIsData FlowsScalability

Tech Stack

Tools & technologies
Distributed Systems

About the role

Key responsibilities & impact
  • Build and operate backend systems that serve AI-powered insurance workflows in production.
  • Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
  • Build inference pipelines for LLM-based and AI-assisted automation systems.
  • Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
  • Design stable service boundaries between backend systems, ML components, and product APIs.
  • Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
  • Debug production issues across distributed AI systems and resolve root causes.
  • Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
  • Continuously improve system reliability, scalability, and performance.

Requirements

What you’ll need
  • Strong backend engineering experience in production systems.
  • Experience building or operating high-throughput, low-latency services.
  • Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).
  • Experience with distributed systems and production debugging.
  • Strong understanding of APIs, data flows, and system design principles.
  • Experience with observability tools (logging, monitoring, tracing).
  • Strong ownership mindset and bias toward shipping.
  • Comfortable working in fast-paced, globally distributed teams.

Benefits

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