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BENCH+ PROFILE

Aliyev

AI Integration Engineer
Go backend services with multi-provider LLM integration, event-driven processing, and Kubernetes delivery

Senior backend-focused engineer suited to production AI API integration and distributed service delivery, with strong Go, messaging, observability, and cloud deployment background.

BEST-FIT USE CASE

Building and maintaining Go-based backend platforms that integrate multiple LLM providers, asynchronous workers, semantic search, monitoring, and CI/CD delivery for SaaS or data-heavy products.

Not the primary fit: Pure product management, standalone frontend-only delivery, or research-heavy model training roles would be a weaker fit than backend implementation and AI service integration.

EVIDENCE HIGHLIGHTS

What supports the assessment

01

Designed a Go backend with multi-provider LLM orchestration, automatic fallback, rate-limited workers, and provider metrics.

02

Built asynchronous processing across several services with broker-based consumers, retry and backoff behavior, reconnection handling, and prefetch tuning.

03

Implemented semantic text comparison using diffing, Levenshtein thresholds by page type, AI summarization, and vector-backed chat search.

04

Configured QA and production Kubernetes deployments with CI/CD, error tracking, analytics instrumentation, and monitoring components.

05

Developed cloud-gaming backend services in Go with broker and cache integration, cross-platform tooling, SDK integrations, analytics, and tracing.

06

Built backend services for real-time pricing and event streaming using Go, WebSocket feeds, Kafka, relational storage, and cloud deployment.

07

Delivered internal enterprise web systems, marketplace functionality, mobility workflows, and data-platform integrations across several domains.