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21 час назад

Senior AI Product Engineer (Go/TypeScript)

100 000 - 180 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Product Engineer (Go/TypeScript): Building and evolving a personalization and data platform with an accent on AI-native development and agentic systems. Focus on architecting RAG pipelines, designing multi-agent orchestration, and automating engineering toil to multiply team output.

Location: Hybrid in Charlotte, NC (Tuesday–Thursday onsite). Not open to visa sponsorship or corp-to-corp.

Salary: $100,000 – $180,000 per year

Company

A global portfolio of high-growth companies delivering seamless digital experiences for consumers and solving large-scale growth challenges for Fortune 100 clients.

What you will do

  • Architect and evolve the personalization and data platform using Go microservices and React/TypeScript.
  • Build RAG pipelines, semantic search, and LLM-powered features including vector stores and evaluation loops.
  • Design and ship multi-agent systems using LangGraph, AutoGen, or custom orchestration.
  • Implement AI-driven developer tooling to automate toil (test generation, PR summaries) and improve team productivity.
  • Define AI engineering standards for prompt engineering, context management, and eval frameworks.
  • Mentor junior and mid-level engineers on AI-native software development.

Requirements

  • 6+ years of software engineering experience with a track record of technical leadership.
  • Expertise in TypeScript and production-grade Go.
  • Strong experience with React and modern frontend architecture.
  • Hands-on experience with LLM APIs (Claude preferred), prompt engineering, and structured outputs.
  • Solid understanding of RAG architecture (vector stores, chunking, embedding models).
  • Experience with CI/CD, Terraform, and AWS.

Nice to have

  • Experience with multi-step tool-calling agents or orchestration pipelines (LangChain, CrewAI).
  • Knowledge of MCP (Model Context Protocol) and building MCP servers.
  • Experience with code intelligence (AST parsing, static analysis).
  • Familiarity with eval frameworks like RAGAS, LangSmith, or Braintrust.
  • Background in event-driven architectures (Kafka, SQS).

Culture & Benefits

  • Comprehensive health insurance (medical, dental, vision).
  • 401(k) plan with company match.
  • Flexible Paid Time Off (PTO) starting at 20 days annually.
  • Paid parental bonding benefit program.
  • Support for AI-native development and agentic coding tools.

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